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putty-source/test/testcrypt.c

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New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
/*
* testcrypt: a standalone test program that provides direct access to
* PuTTY's cryptography and mp_int code.
*/
/*
* This program speaks a line-oriented protocol on standard input and
* standard output. It's a half-duplex protocol: it expects to read
* one line of command, and then produce a fixed amount of output
* (namely a line containing a decimal integer, followed by that many
* lines each containing one return value).
*
* The protocol is human-readable enough to make it debuggable, but
* verbose enough that you probably wouldn't want to speak it by hand
* at any great length. The Python program test/testcrypt.py wraps it
* to give a more useful user-facing API, by invoking this binary as a
* subprocess.
*
* (I decided that was a better idea than making this program an
* actual Python module, partly because you can rewrap the same binary
* in another scripting language if you prefer, but mostly because
* it's easy to attach a debugger to testcrypt or to run it under
* sanitisers or valgrind or what have you.)
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <errno.h>
#include "defs.h"
#include "ssh.h"
Refactor generation of candidate integers in primegen. I've replaced the random number generation and small delta-finding loop in primegen() with a much more elaborate system in its own source file, with unit tests and everything. Immediate benefits: - fixes a theoretical possibility of overflowing the target number of bits, if the random number was so close to the top of the range that the addition of delta * factor pushed it over. However, this only happened with negligible probability. - fixes a directional bias in delta-finding. The previous code incremented the number repeatedly until it found a value coprime to all the right things, which meant that a prime preceded by a particularly long sequence of numbers with tiny factors was more likely to be chosen. Now we select candidate delta values at random, that bias should be eliminated. - changes the semantics of the outermost primegen() function to make them easier to use, because now the caller specifies the 'bits' and 'firstbits' values for the actual returned prime, rather than having to account for the factor you're multiplying it by in DSA. DSA client code is correspondingly adjusted. Future benefits: - having the candidate generation in a separate function makes it easy to reuse in alternative prime generation strategies - the available constraints support applications such as Maurer's algorithm for generating provable primes, or strong primes for RSA in which both p-1 and p+1 have a large factor. So those become things we could experiment with in future.
2020-02-23 14:30:03 +00:00
#include "sshkeygen.h"
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#include "misc.h"
#include "mpint.h"
#include "crypto/ecc.h"
#include "crypto/ntru.h"
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
#include "crypto/mlkem.h"
#include "proxy/cproxy.h"
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static NORETURN PRINTF_LIKE(1, 2) void fatal_error(const char *p, ...)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
va_list ap;
fprintf(stderr, "testcrypt: ");
va_start(ap, p);
vfprintf(stderr, p, ap);
va_end(ap);
fputc('\n', stderr);
exit(1);
}
void out_of_memory(void) { fatal_error("out of memory"); }
static bool old_keyfile_warning_given;
void old_keyfile_warning(void) { old_keyfile_warning_given = true; }
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static bufchain random_data_queue;
static prng *test_prng;
void random_read(void *buf, size_t size)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
if (test_prng) {
prng_read(test_prng, buf, size);
} else {
if (!bufchain_try_fetch_consume(&random_data_queue, buf, size))
fatal_error("No random data in queue");
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
Replace PuTTY's PRNG with a Fortuna-like system. This tears out the entire previous random-pool system in sshrand.c. In its place is a system pretty close to Ferguson and Schneier's 'Fortuna' generator, with the main difference being that I use SHA-256 instead of AES for the generation side of the system (rationale given in comment). The PRNG implementation lives in sshprng.c, and defines a self- contained data type with no state stored outside the object, so you can instantiate however many of them you like. The old sshrand.c still exists, but in place of the previous random pool system, it's just become a client of sshprng.c, whose job is to hold a single global instance of the PRNG type, and manage its reference count, save file, noise-collection timers and similar administrative business. Advantages of this change include: - Fortuna is designed with a more varied threat model in mind than my old home-grown random pool. For example, after any request for random numbers, it automatically re-seeds itself, so that if the state of the PRNG should be leaked, it won't give enough information to find out what past outputs _were_. - The PRNG type can be instantiated with any hash function; the instance used by the main tools is based on SHA-256, an improvement on the old pool's use of SHA-1. - The new PRNG only uses the completely standard interface to the hash function API, instead of having to have privileged access to the internal SHA-1 block transform function. This will make it easier to revamp the hash code in general, and also it means that hardware-accelerated versions of SHA-256 will automatically be used for the PRNG as well as for everything else. - The new PRNG can be _tested_! Because it has an actual (if not quite explicit) specification for exactly what the output numbers _ought_ to be derived from the hashes of, I can (and have) put tests in cryptsuite that ensure the output really is being derived in the way I think it is. The old pool could have been returning any old nonsense and it would have been very hard to tell for sure.
2019-01-22 22:42:41 +00:00
uint64_t prng_reseed_time_ms(void)
{
static uint64_t previous_time = 0;
return previous_time += 200;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define VALUE_TYPES(X) \
X(string, strbuf *, strbuf_free(v)) \
X(mpint, mp_int *, mp_free(v)) \
X(modsqrt, ModsqrtContext *, modsqrt_free(v)) \
X(monty, MontyContext *, monty_free(v)) \
X(wcurve, WeierstrassCurve *, ecc_weierstrass_curve_free(v)) \
X(wpoint, WeierstrassPoint *, ecc_weierstrass_point_free(v)) \
X(mcurve, MontgomeryCurve *, ecc_montgomery_curve_free(v)) \
X(mpoint, MontgomeryPoint *, ecc_montgomery_point_free(v)) \
X(ecurve, EdwardsCurve *, ecc_edwards_curve_free(v)) \
X(epoint, EdwardsPoint *, ecc_edwards_point_free(v)) \
X(hash, ssh_hash *, ssh_hash_free(v)) \
X(key, ssh_key *, ssh_key_free(v)) \
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
X(cipher, ssh_cipher *, ssh_cipher_free(v)) \
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
X(mac, ssh2_mac *, ssh2_mac_free(v)) \
X(dh, dh_ctx *, dh_cleanup(v)) \
X(ecdh, ecdh_key *, ecdh_key_free(v)) \
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
X(rsakex, RSAKey *, ssh_rsakex_freekey(v)) \
X(rsa, RSAKey *, rsa_free(v)) \
Replace PuTTY's PRNG with a Fortuna-like system. This tears out the entire previous random-pool system in sshrand.c. In its place is a system pretty close to Ferguson and Schneier's 'Fortuna' generator, with the main difference being that I use SHA-256 instead of AES for the generation side of the system (rationale given in comment). The PRNG implementation lives in sshprng.c, and defines a self- contained data type with no state stored outside the object, so you can instantiate however many of them you like. The old sshrand.c still exists, but in place of the previous random pool system, it's just become a client of sshprng.c, whose job is to hold a single global instance of the PRNG type, and manage its reference count, save file, noise-collection timers and similar administrative business. Advantages of this change include: - Fortuna is designed with a more varied threat model in mind than my old home-grown random pool. For example, after any request for random numbers, it automatically re-seeds itself, so that if the state of the PRNG should be leaked, it won't give enough information to find out what past outputs _were_. - The PRNG type can be instantiated with any hash function; the instance used by the main tools is based on SHA-256, an improvement on the old pool's use of SHA-1. - The new PRNG only uses the completely standard interface to the hash function API, instead of having to have privileged access to the internal SHA-1 block transform function. This will make it easier to revamp the hash code in general, and also it means that hardware-accelerated versions of SHA-256 will automatically be used for the PRNG as well as for everything else. - The new PRNG can be _tested_! Because it has an actual (if not quite explicit) specification for exactly what the output numbers _ought_ to be derived from the hashes of, I can (and have) put tests in cryptsuite that ensure the output really is being derived in the way I think it is. The old pool could have been returning any old nonsense and it would have been very hard to tell for sure.
2019-01-22 22:42:41 +00:00
X(prng, prng *, prng_free(v)) \
X(keycomponents, key_components *, key_components_free(v)) \
Refactor generation of candidate integers in primegen. I've replaced the random number generation and small delta-finding loop in primegen() with a much more elaborate system in its own source file, with unit tests and everything. Immediate benefits: - fixes a theoretical possibility of overflowing the target number of bits, if the random number was so close to the top of the range that the addition of delta * factor pushed it over. However, this only happened with negligible probability. - fixes a directional bias in delta-finding. The previous code incremented the number repeatedly until it found a value coprime to all the right things, which meant that a prime preceded by a particularly long sequence of numbers with tiny factors was more likely to be chosen. Now we select candidate delta values at random, that bias should be eliminated. - changes the semantics of the outermost primegen() function to make them easier to use, because now the caller specifies the 'bits' and 'firstbits' values for the actual returned prime, rather than having to account for the factor you're multiplying it by in DSA. DSA client code is correspondingly adjusted. Future benefits: - having the candidate generation in a separate function makes it easy to reuse in alternative prime generation strategies - the available constraints support applications such as Maurer's algorithm for generating provable primes, or strong primes for RSA in which both p-1 and p+1 have a large factor. So those become things we could experiment with in future.
2020-02-23 14:30:03 +00:00
X(pcs, PrimeCandidateSource *, pcs_free(v)) \
X(pgc, PrimeGenerationContext *, primegen_free_context(v)) \
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
X(pockle, Pockle *, pockle_free(v)) \
X(millerrabin, MillerRabin *, miller_rabin_free(v)) \
X(ntrukeypair, NTRUKeyPair *, ntru_keypair_free(v)) \
X(ntruencodeschedule, NTRUEncodeSchedule *, ntru_encode_schedule_free(v)) \
X(shakexof, ShakeXOF *, shake_xof_free(v)) \
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
/* end of list */
typedef struct Value Value;
enum ValueType {
#define VALTYPE_ENUM(n,t,f) VT_##n,
VALUE_TYPES(VALTYPE_ENUM)
#undef VALTYPE_ENUM
};
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
typedef enum ValueType ValueType;
static const char *const type_names[] = {
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define VALTYPE_NAME(n,t,f) #n,
VALUE_TYPES(VALTYPE_NAME)
#undef VALTYPE_NAME
};
#define VALTYPE_TYPEDEF(n,t,f) \
typedef t TD_val_##n; \
typedef t *TD_out_val_##n;
VALUE_TYPES(VALTYPE_TYPEDEF)
#undef VALTYPE_TYPEDEF
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
struct Value {
/*
* Protocol identifier assigned to this value when it was created.
* Lives in the same malloced block as this Value object itself.
*/
ptrlen id;
/*
* Type of the value.
*/
ValueType type;
/*
* Union of all the things it could hold.
*/
union {
#define VALTYPE_UNION(n,t,f) t vu_##n;
VALUE_TYPES(VALTYPE_UNION)
#undef VALTYPE_UNION
char *bare_string;
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
};
};
static int valuecmp(void *av, void *bv)
{
Value *a = (Value *)av, *b = (Value *)bv;
return ptrlen_strcmp(a->id, b->id);
}
static int valuefind(void *av, void *bv)
{
ptrlen *a = (ptrlen *)av;
Value *b = (Value *)bv;
return ptrlen_strcmp(*a, b->id);
}
static tree234 *values;
static Value *value_new(ValueType vt)
{
static uint64_t next_index = 0;
char *name = dupprintf("%s%"PRIu64, type_names[vt], next_index++);
size_t namelen = strlen(name);
Value *val = snew_plus(Value, namelen+1);
memcpy(snew_plus_get_aux(val), name, namelen+1);
val->id.ptr = snew_plus_get_aux(val);
val->id.len = namelen;
val->type = vt;
Value *added = add234(values, val);
assert(added == val);
sfree(name);
return val;
}
#define VALTYPE_RETURNFN(n,t,f) \
void return_val_##n(strbuf *out, t v) { \
Value *val = value_new(VT_##n); \
val->vu_##n = v; \
put_datapl(out, val->id); \
put_byte(out, '\n'); \
}
VALUE_TYPES(VALTYPE_RETURNFN)
#undef VALTYPE_RETURNFN
static ptrlen get_word(BinarySource *in)
{
ptrlen toret;
toret.ptr = get_ptr(in);
toret.len = 0;
while (get_avail(in) && get_byte(in) != ' ')
toret.len++;
return toret;
}
typedef uintmax_t TD_uint;
typedef bool TD_boolean;
typedef ptrlen TD_val_string_ptrlen;
typedef char *TD_val_string_asciz;
typedef BinarySource *TD_val_string_binarysource;
typedef unsigned *TD_out_uint;
typedef BinarySink *TD_out_val_string_binarysink;
typedef const char *TD_opt_val_string_asciz;
typedef char **TD_out_val_string_asciz;
typedef char **TD_out_opt_val_string_asciz;
typedef const char **TD_out_opt_val_string_asciz_const;
typedef const ssh_hashalg *TD_hashalg;
typedef const ssh2_macalg *TD_macalg;
typedef const ssh_keyalg *TD_keyalg;
typedef const ssh_cipheralg *TD_cipheralg;
typedef const ssh_kex *TD_dh_group;
typedef const ssh_kex *TD_ecdh_alg;
typedef RsaSsh1Order TD_rsaorder;
typedef key_components *TD_keycomponents;
typedef const PrimeGenerationPolicy *TD_primegenpolicy;
typedef struct mpint_list TD_mpint_list;
typedef struct int16_list *TD_int16_list;
typedef PockleStatus TD_pocklestatus;
typedef struct mr_result TD_mr_result;
typedef Argon2Flavour TD_argon2flavour;
typedef FingerprintType TD_fptype;
typedef HttpDigestHash TD_httpdigesthash;
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
typedef const mlkem_params *TD_mlkem_params;
#define BEGIN_ENUM_TYPE(name) \
static bool enum_translate_##name(ptrlen valname, TD_##name *out) { \
static const struct { \
const char *key; \
TD_##name value; \
} mapping[] = {
#define ENUM_VALUE(name, value) {name, value},
#define END_ENUM_TYPE(name) \
}; \
for (size_t i = 0; i < lenof(mapping); i++) \
if (ptrlen_eq_string(valname, mapping[i].key)) { \
if (out) \
*out = mapping[i].value; \
return true; \
} \
return false; \
} \
\
static TD_##name get_##name(BinarySource *in) { \
ptrlen valname = get_word(in); \
TD_##name out; \
if (enum_translate_##name(valname, &out)) \
return out; \
else \
fatal_error("%s '%.*s': not found", \
#name, PTRLEN_PRINTF(valname)); \
}
#include "testcrypt-enum.h"
#undef BEGIN_ENUM_TYPE
#undef ENUM_VALUE
#undef END_ENUM_TYPE
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static uintmax_t get_uint(BinarySource *in)
{
ptrlen word = get_word(in);
char *string = mkstr(word);
uintmax_t toret = strtoumax(string, NULL, 0);
sfree(string);
return toret;
}
2020-03-02 06:52:09 +00:00
static bool get_boolean(BinarySource *in)
{
return ptrlen_eq_string(get_word(in), "true");
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static Value *lookup_value(ptrlen word)
{
Value *val = find234(values, &word, valuefind);
if (!val)
fatal_error("id '%.*s': not found", PTRLEN_PRINTF(word));
return val;
}
static Value *get_value(BinarySource *in)
{
return lookup_value(get_word(in));
}
typedef void (*finaliser_fn_t)(strbuf *out, void *ctx);
struct finaliser {
finaliser_fn_t fn;
void *ctx;
};
static struct finaliser *finalisers;
static size_t nfinalisers, finalisersize;
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void add_finaliser(finaliser_fn_t fn, void *ctx)
{
sgrowarray(finalisers, finalisersize, nfinalisers);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
finalisers[nfinalisers].fn = fn;
finalisers[nfinalisers].ctx = ctx;
nfinalisers++;
}
static void run_finalisers(strbuf *out)
{
for (size_t i = 0; i < nfinalisers; i++)
finalisers[i].fn(out, finalisers[i].ctx);
nfinalisers = 0;
}
static void finaliser_return_value(strbuf *out, void *ctx)
{
Value *val = (Value *)ctx;
put_datapl(out, val->id);
put_byte(out, '\n');
}
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
static void finaliser_sfree(strbuf *out, void *ctx)
{
sfree(ctx);
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define VALTYPE_GETFN(n,t,f) \
static Value *unwrap_value_##n(Value *val) { \
ValueType expected = VT_##n; \
if (expected != val->type) \
fatal_error("id '%.*s': expected %s, got %s", \
PTRLEN_PRINTF(val->id), \
type_names[expected], type_names[val->type]); \
return val; \
} \
static Value *get_value_##n(BinarySource *in) { \
return unwrap_value_##n(get_value(in)); \
} \
static t get_val_##n(BinarySource *in) { \
return get_value_##n(in)->vu_##n; \
}
VALUE_TYPES(VALTYPE_GETFN)
#undef VALTYPE_GETFN
static ptrlen get_val_string_ptrlen(BinarySource *in)
{
return ptrlen_from_strbuf(get_val_string(in));
}
static char *get_val_string_asciz(BinarySource *in)
{
return get_val_string(in)->s;
}
static strbuf *get_opt_val_string(BinarySource *in);
static char *get_opt_val_string_asciz(BinarySource *in)
{
strbuf *sb = get_opt_val_string(in);
return sb ? sb->s : NULL;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static mp_int **get_out_val_mpint(BinarySource *in)
{
Value *val = value_new(VT_mpint);
add_finaliser(finaliser_return_value, val);
return &val->vu_mpint;
}
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
struct mpint_list {
size_t n;
mp_int **integers;
};
static struct mpint_list get_mpint_list(BinarySource *in)
{
size_t n = get_uint(in);
struct mpint_list mpl;
mpl.n = n;
mpl.integers = snewn(n, mp_int *);
for (size_t i = 0; i < n; i++)
mpl.integers[i] = get_val_mpint(in);
add_finaliser(finaliser_sfree, mpl.integers);
return mpl;
}
typedef struct int16_list {
size_t n;
uint16_t *integers;
} int16_list;
static void finaliser_int16_list_free(strbuf *out, void *vlist)
{
int16_list *list = (int16_list *)vlist;
sfree(list->integers);
sfree(list);
}
static int16_list *make_int16_list(size_t n)
{
int16_list *list = snew(int16_list);
list->n = n;
list->integers = snewn(n, uint16_t);
add_finaliser(finaliser_int16_list_free, list);
return list;
}
static int16_list *get_int16_list(BinarySource *in)
{
size_t n = get_uint(in);
int16_list *list = make_int16_list(n);
for (size_t i = 0; i < n; i++)
list->integers[i] = get_uint(in);
return list;
}
static void return_int16_list(strbuf *out, int16_list *list)
{
for (size_t i = 0; i < list->n; i++) {
if (i > 0)
put_byte(out, ',');
put_fmt(out, "%d", (int)(int16_t)list->integers[i]);
}
put_byte(out, '\n');
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void finaliser_return_uint(strbuf *out, void *ctx)
{
unsigned *uval = (unsigned *)ctx;
put_fmt(out, "%u\n", *uval);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
sfree(uval);
}
static unsigned *get_out_uint(BinarySource *in)
{
unsigned *uval = snew(unsigned);
add_finaliser(finaliser_return_uint, uval);
return uval;
}
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
static strbuf **get_out_val_string(BinarySource *in)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
Value *val = value_new(VT_string);
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
val->vu_string = NULL;
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
add_finaliser(finaliser_return_value, val);
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
return &val->vu_string;
}
static BinarySink *get_out_val_string_binarysink(BinarySource *in)
{
strbuf *sb = strbuf_new();
*get_out_val_string(in) = sb;
return BinarySink_UPCAST(sb);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
static void return_val_string_asciz_const(strbuf *out, const char *s);
static void return_val_string_asciz(strbuf *out, char *s);
static void finaliser_return_opt_string_asciz(strbuf *out, void *ctx)
{
char **valp = (char **)ctx;
char *val = *valp;
sfree(valp);
if (!val)
put_fmt(out, "NULL\n");
else
return_val_string_asciz(out, val);
}
static char **get_out_opt_val_string_asciz(BinarySource *in)
{
char **valp = snew(char *);
*valp = NULL;
add_finaliser(finaliser_return_opt_string_asciz, valp);
return valp;
}
static void finaliser_return_opt_string_asciz_const(strbuf *out, void *ctx)
{
const char **valp = (const char **)ctx;
const char *val = *valp;
sfree(valp);
if (!val)
put_fmt(out, "NULL\n");
else
return_val_string_asciz_const(out, val);
}
static const char **get_out_opt_val_string_asciz_const(BinarySource *in)
{
const char **valp = snew(const char *);
*valp = NULL;
add_finaliser(finaliser_return_opt_string_asciz_const, valp);
return valp;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static BinarySource *get_val_string_binarysource(BinarySource *in)
{
strbuf *sb = get_val_string(in);
BinarySource *src = snew(BinarySource);
BinarySource_BARE_INIT(src, sb->u, sb->len);
add_finaliser(finaliser_sfree, src);
return src;
}
#define GET_CONSUMED_FN(type) \
typedef TD_val_##type TD_consumed_val_##type; \
static TD_val_##type get_consumed_val_##type(BinarySource *in) \
{ \
Value *val = get_value_##type(in); \
TD_val_##type toret = val->vu_##type; \
del234(values, val); \
sfree(val); \
return toret; \
}
GET_CONSUMED_FN(hash)
GET_CONSUMED_FN(pcs)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void return_int(strbuf *out, intmax_t u)
{
put_fmt(out, "%"PRIdMAX"\n", u);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
static void return_uint(strbuf *out, uintmax_t u)
{
put_fmt(out, "0x%"PRIXMAX"\n", u);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
static void return_boolean(strbuf *out, bool b)
{
put_fmt(out, "%s\n", b ? "true" : "false");
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
static void return_pocklestatus(strbuf *out, PockleStatus status)
{
switch (status) {
default:
put_fmt(out, "POCKLE_BAD_STATUS_VALUE\n");
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
break;
#define STATUS_CASE(id) \
case id: \
put_fmt(out, "%s\n", #id); \
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
break;
POCKLE_STATUSES(STATUS_CASE);
#undef STATUS_CASE
}
}
static void return_mr_result(strbuf *out, struct mr_result result)
{
if (!result.passed)
put_fmt(out, "failed\n");
else if (!result.potential_primitive_root)
put_fmt(out, "passed\n");
else
put_fmt(out, "passed+ppr\n");
}
static void return_val_string_asciz_const(strbuf *out, const char *s)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
strbuf *sb = strbuf_new();
put_data(sb, s, strlen(s));
return_val_string(out, sb);
}
static void return_val_string_asciz(strbuf *out, char *s)
{
return_val_string_asciz_const(out, s);
sfree(s);
}
#define NULLABLE_RETURN_WRAPPER(type_name, c_type) \
static void return_opt_##type_name(strbuf *out, c_type ptr) \
{ \
if (!ptr) \
put_fmt(out, "NULL\n"); \
else \
return_##type_name(out, ptr); \
}
NULLABLE_RETURN_WRAPPER(val_string, strbuf *)
NULLABLE_RETURN_WRAPPER(val_string_asciz, char *)
NULLABLE_RETURN_WRAPPER(val_string_asciz_const, const char *)
NULLABLE_RETURN_WRAPPER(val_cipher, ssh_cipher *)
NULLABLE_RETURN_WRAPPER(val_mac, ssh2_mac *)
NULLABLE_RETURN_WRAPPER(val_hash, ssh_hash *)
NULLABLE_RETURN_WRAPPER(val_key, ssh_key *)
NULLABLE_RETURN_WRAPPER(val_mpint, mp_int *)
NULLABLE_RETURN_WRAPPER(int16_list, int16_list *)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void handle_hello(BinarySource *in, strbuf *out)
{
put_fmt(out, "hello, world\n");
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
static void rsa_free(RSAKey *rsa)
{
freersakey(rsa);
sfree(rsa);
}
static void free_value(Value *val)
{
switch (val->type) {
#define VALTYPE_FREE(n,t,f) case VT_##n: { t v = val->vu_##n; (f); break; }
VALUE_TYPES(VALTYPE_FREE)
#undef VALTYPE_FREE
}
sfree(val);
}
static void handle_free(BinarySource *in, strbuf *out)
{
Value *val = get_value(in);
del234(values, val);
free_value(val);
}
static void handle_newstring(BinarySource *in, strbuf *out)
{
strbuf *sb = strbuf_new();
while (get_avail(in)) {
char c = get_byte(in);
if (c == '%') {
char hex[3];
hex[0] = get_byte(in);
if (hex[0] != '%') {
hex[1] = get_byte(in);
hex[2] = '\0';
c = strtoul(hex, NULL, 16);
}
}
put_byte(sb, c);
}
return_val_string(out, sb);
}
static void handle_getstring(BinarySource *in, strbuf *out)
{
strbuf *sb = get_val_string(in);
for (size_t i = 0; i < sb->len; i++) {
char c = sb->s[i];
if (c > ' ' && c < 0x7F && c != '%') {
put_byte(out, c);
} else {
put_fmt(out, "%%%02X", 0xFFU & (unsigned)c);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
}
put_byte(out, '\n');
}
static void handle_mp_literal(BinarySource *in, strbuf *out)
{
ptrlen pl = get_word(in);
char *str = mkstr(pl);
mp_int *mp = mp__from_string_literal(str);
sfree(str);
return_val_mpint(out, mp);
}
static void handle_mp_dump(BinarySource *in, strbuf *out)
{
mp_int *mp = get_val_mpint(in);
for (size_t i = mp_max_bytes(mp); i-- > 0 ;)
put_fmt(out, "%02X", mp_get_byte(mp, i));
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
put_byte(out, '\n');
}
static void handle_checkenum(BinarySource *in, strbuf *out)
{
ptrlen type = get_word(in);
ptrlen value = get_word(in);
bool ok = false;
#define BEGIN_ENUM_TYPE(name) \
if (ptrlen_eq_string(type, #name)) \
ok = enum_translate_##name(value, NULL);
#define ENUM_VALUE(name, value)
#define END_ENUM_TYPE(name)
#include "testcrypt-enum.h"
#undef BEGIN_ENUM_TYPE
#undef ENUM_VALUE
#undef END_ENUM_TYPE
put_dataz(out, ok ? "ok\n" : "bad\n");
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void random_queue(ptrlen pl)
{
bufchain_add(&random_data_queue, pl.ptr, pl.len);
}
static size_t random_queue_len(void)
{
return bufchain_size(&random_data_queue);
}
static void random_clear(void)
{
if (test_prng) {
prng_free(test_prng);
test_prng = NULL;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
bufchain_clear(&random_data_queue);
}
static void random_make_prng(const ssh_hashalg *hashalg, ptrlen seed)
{
random_clear();
test_prng = prng_new(hashalg);
prng_seed_begin(test_prng);
put_datapl(test_prng, seed);
prng_seed_finish(test_prng);
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
mp_int *monty_identity_wrapper(MontyContext *mc)
{
return mp_copy(monty_identity(mc));
}
mp_int *monty_modulus_wrapper(MontyContext *mc)
{
return mp_copy(monty_modulus(mc));
}
strbuf *ssh_hash_digest_wrapper(ssh_hash *h)
{
strbuf *sb = strbuf_new();
void *p = strbuf_append(sb, ssh_hash_alg(h)->hlen);
ssh_hash_digest(h, p);
return sb;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
strbuf *ssh_hash_final_wrapper(ssh_hash *h)
{
strbuf *sb = strbuf_new();
void *p = strbuf_append(sb, ssh_hash_alg(h)->hlen);
ssh_hash_final(h, p);
return sb;
}
strbuf *shake_xof_read_wrapper(ShakeXOF *sx, TD_uint size)
{
strbuf *sb = strbuf_new();
void *p = strbuf_append(sb, size);
shake_xof_read(sx, p, size);
return sb;
}
void ssh_cipher_setiv_wrapper(ssh_cipher *c, ptrlen iv)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
if (iv.len != ssh_cipher_alg(c)->blksize)
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
fatal_error("ssh_cipher_setiv: needs exactly %d bytes",
ssh_cipher_alg(c)->blksize);
ssh_cipher_setiv(c, iv.ptr);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
void ssh_cipher_setkey_wrapper(ssh_cipher *c, ptrlen key)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
if (key.len != ssh_cipher_alg(c)->padded_keybytes)
fatal_error("ssh_cipher_setkey: needs exactly %d bytes",
ssh_cipher_alg(c)->padded_keybytes);
ssh_cipher_setkey(c, key.ptr);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
strbuf *ssh_cipher_encrypt_wrapper(ssh_cipher *c, ptrlen input)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
if (input.len % ssh_cipher_alg(c)->blksize)
fatal_error("ssh_cipher_encrypt: needs a multiple of %d bytes",
ssh_cipher_alg(c)->blksize);
strbuf *sb = strbuf_dup(input);
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
ssh_cipher_encrypt(c, sb->u, sb->len);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
strbuf *ssh_cipher_decrypt_wrapper(ssh_cipher *c, ptrlen input)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
if (input.len % ssh_cipher_alg(c)->blksize)
fatal_error("ssh_cipher_decrypt: needs a multiple of %d bytes",
ssh_cipher_alg(c)->blksize);
strbuf *sb = strbuf_dup(input);
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
ssh_cipher_decrypt(c, sb->u, sb->len);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
strbuf *ssh_cipher_encrypt_length_wrapper(ssh_cipher *c, ptrlen input,
unsigned long seq)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
if (input.len != 4)
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
fatal_error("ssh_cipher_encrypt_length: needs exactly 4 bytes");
strbuf *sb = strbuf_dup(input);
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
ssh_cipher_encrypt_length(c, sb->u, sb->len, seq);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
strbuf *ssh_cipher_decrypt_length_wrapper(ssh_cipher *c, ptrlen input,
unsigned long seq)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
{
if (input.len != 4)
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
fatal_error("ssh_cipher_decrypt_length: needs exactly 4 bytes");
strbuf *sb = strbuf_dup(input);
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
ssh_cipher_decrypt_length(c, sb->u, sb->len, seq);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
strbuf *ssh2_mac_genresult_wrapper(ssh2_mac *m)
{
strbuf *sb = strbuf_new();
void *u = strbuf_append(sb, ssh2_mac_alg(m)->len);
ssh2_mac_genresult(m, u);
return sb;
}
Certificate-specific ssh_key method suite. Certificate keys don't work the same as normal keys, so the rest of the code is going to have to pay attention to whether a key is a certificate, and if so, treat it differently and do cert-specific stuff to it. So here's a collection of methods for that purpose. With one exception, these methods of ssh_key are not expected to be implemented at all in non-certificate key types: they should only ever be called once you already know you're dealing with a certificate. So most of the new method pointers can be left out of the ssh_keyalg initialisers. The exception is the base_key method, which retrieves the base key of a certificate - the underlying one with the certificate stripped off. It's convenient for non-certificate keys to implement this too, and just return a pointer to themselves. So I've added an implementation in nullkey.c doing that. (The returned pointer doesn't transfer ownership; you have to use the new ssh_key_clone() if you want to keep the base key after freeing the certificate key.) The methods _only_ implemented in certificates: Query methods to return the public key of the CA (for looking up in a list of trusted ones), and to return the key id string (which exists to be written into log files). Obviously, we need a check_cert() method which will verify the CA's actual signature, not to mention checking all the other details like the principal and the validity period. And there's another fiddly method for dealing with the RSA upgrade system, called 'related_alg'. This is quite like alternate_ssh_id, in that its job is to upgrade one key algorithm to a related one with more modern RSA signing flags (or any other similar thing that might later reuse the same mechanism). But where alternate_ssh_id took the actual signing flags as an argument, this takes a pointer to the upgraded base algorithm. So it answers the question "What is to this key algorithm as you are to its base?" - if you call it on opensshcert_ssh_rsa and give it ssh_rsa_sha512, it'll give you back opensshcert_ssh_rsa_sha512. (It's awkward to have to have another of these fiddly methods, and in the longer term I'd like to try to clean up their proliferation a bit. But I even more dislike the alternative of just going through all_keyalgs looking for a cert algorithm with, say, ssh_rsa_sha512 as the base: that approach would work fine now but it would be a lurking time bomb for when all the -cert-v02@ methods appear one day. This way, each certificate type can upgrade itself to the appropriately related version. And at least related_alg is only needed if you _are_ a certificate key type - it's not adding yet another piece of null-method boilerplate to the rest.)
2022-04-20 12:06:08 +00:00
ssh_key *ssh_key_base_key_wrapper(ssh_key *key)
{
/* To avoid having to explain the borrowed reference to Python,
* just clone the key unconditionally */
return ssh_key_clone(ssh_key_base_key(key));
}
void ssh_key_ca_public_blob_wrapper(ssh_key *key, BinarySink *out)
{
/* Wrap to avoid null-pointer dereference */
if (!key->vt->is_certificate)
fatal_error("ssh_key_ca_public_blob: needs a certificate");
ssh_key_ca_public_blob(key, out);
}
void ssh_key_cert_id_string_wrapper(ssh_key *key, BinarySink *out)
{
/* Wrap to avoid null-pointer dereference */
if (!key->vt->is_certificate)
fatal_error("ssh_key_cert_id_string: needs a certificate");
ssh_key_cert_id_string(key, out);
}
static bool ssh_key_check_cert_wrapper(
ssh_key *key, bool host, ptrlen principal, uint64_t time, ptrlen optstr,
Certificate-specific ssh_key method suite. Certificate keys don't work the same as normal keys, so the rest of the code is going to have to pay attention to whether a key is a certificate, and if so, treat it differently and do cert-specific stuff to it. So here's a collection of methods for that purpose. With one exception, these methods of ssh_key are not expected to be implemented at all in non-certificate key types: they should only ever be called once you already know you're dealing with a certificate. So most of the new method pointers can be left out of the ssh_keyalg initialisers. The exception is the base_key method, which retrieves the base key of a certificate - the underlying one with the certificate stripped off. It's convenient for non-certificate keys to implement this too, and just return a pointer to themselves. So I've added an implementation in nullkey.c doing that. (The returned pointer doesn't transfer ownership; you have to use the new ssh_key_clone() if you want to keep the base key after freeing the certificate key.) The methods _only_ implemented in certificates: Query methods to return the public key of the CA (for looking up in a list of trusted ones), and to return the key id string (which exists to be written into log files). Obviously, we need a check_cert() method which will verify the CA's actual signature, not to mention checking all the other details like the principal and the validity period. And there's another fiddly method for dealing with the RSA upgrade system, called 'related_alg'. This is quite like alternate_ssh_id, in that its job is to upgrade one key algorithm to a related one with more modern RSA signing flags (or any other similar thing that might later reuse the same mechanism). But where alternate_ssh_id took the actual signing flags as an argument, this takes a pointer to the upgraded base algorithm. So it answers the question "What is to this key algorithm as you are to its base?" - if you call it on opensshcert_ssh_rsa and give it ssh_rsa_sha512, it'll give you back opensshcert_ssh_rsa_sha512. (It's awkward to have to have another of these fiddly methods, and in the longer term I'd like to try to clean up their proliferation a bit. But I even more dislike the alternative of just going through all_keyalgs looking for a cert algorithm with, say, ssh_rsa_sha512 as the base: that approach would work fine now but it would be a lurking time bomb for when all the -cert-v02@ methods appear one day. This way, each certificate type can upgrade itself to the appropriately related version. And at least related_alg is only needed if you _are_ a certificate key type - it's not adding yet another piece of null-method boilerplate to the rest.)
2022-04-20 12:06:08 +00:00
BinarySink *error)
{
/* Wrap to avoid null-pointer dereference */
if (!key->vt->is_certificate)
fatal_error("ssh_key_cert_id_string: needs a certificate");
ca_options opts;
opts.permit_rsa_sha1 = true;
opts.permit_rsa_sha256 = true;
opts.permit_rsa_sha512 = true;
while (optstr.len) {
ptrlen word = ptrlen_get_word(&optstr, ",");
ptrlen key = word, value = PTRLEN_LITERAL("");
const char *comma = memchr(word.ptr, '=', word.len);
if (comma) {
key.len = comma - (const char *)word.ptr;
value.ptr = comma + 1;
value.len = word.len - key.len - 1;
}
if (ptrlen_eq_string(key, "permit_rsa_sha1"))
opts.permit_rsa_sha1 = ptrlen_eq_string(value, "true");
if (ptrlen_eq_string(key, "permit_rsa_sha256"))
opts.permit_rsa_sha256 = ptrlen_eq_string(value, "true");
if (ptrlen_eq_string(key, "permit_rsa_sha512"))
opts.permit_rsa_sha512 = ptrlen_eq_string(value, "true");
}
return ssh_key_check_cert(key, host, principal, time, &opts, error);
Certificate-specific ssh_key method suite. Certificate keys don't work the same as normal keys, so the rest of the code is going to have to pay attention to whether a key is a certificate, and if so, treat it differently and do cert-specific stuff to it. So here's a collection of methods for that purpose. With one exception, these methods of ssh_key are not expected to be implemented at all in non-certificate key types: they should only ever be called once you already know you're dealing with a certificate. So most of the new method pointers can be left out of the ssh_keyalg initialisers. The exception is the base_key method, which retrieves the base key of a certificate - the underlying one with the certificate stripped off. It's convenient for non-certificate keys to implement this too, and just return a pointer to themselves. So I've added an implementation in nullkey.c doing that. (The returned pointer doesn't transfer ownership; you have to use the new ssh_key_clone() if you want to keep the base key after freeing the certificate key.) The methods _only_ implemented in certificates: Query methods to return the public key of the CA (for looking up in a list of trusted ones), and to return the key id string (which exists to be written into log files). Obviously, we need a check_cert() method which will verify the CA's actual signature, not to mention checking all the other details like the principal and the validity period. And there's another fiddly method for dealing with the RSA upgrade system, called 'related_alg'. This is quite like alternate_ssh_id, in that its job is to upgrade one key algorithm to a related one with more modern RSA signing flags (or any other similar thing that might later reuse the same mechanism). But where alternate_ssh_id took the actual signing flags as an argument, this takes a pointer to the upgraded base algorithm. So it answers the question "What is to this key algorithm as you are to its base?" - if you call it on opensshcert_ssh_rsa and give it ssh_rsa_sha512, it'll give you back opensshcert_ssh_rsa_sha512. (It's awkward to have to have another of these fiddly methods, and in the longer term I'd like to try to clean up their proliferation a bit. But I even more dislike the alternative of just going through all_keyalgs looking for a cert algorithm with, say, ssh_rsa_sha512 as the base: that approach would work fine now but it would be a lurking time bomb for when all the -cert-v02@ methods appear one day. This way, each certificate type can upgrade itself to the appropriately related version. And at least related_alg is only needed if you _are_ a certificate key type - it's not adding yet another piece of null-method boilerplate to the rest.)
2022-04-20 12:06:08 +00:00
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
bool dh_validate_f_wrapper(dh_ctx *dh, mp_int *f)
{
return dh_validate_f(dh, f) == NULL;
}
void ssh_hash_update(ssh_hash *h, ptrlen pl)
{
put_datapl(h, pl);
}
void ssh2_mac_update(ssh2_mac *m, ptrlen pl)
{
put_datapl(m, pl);
}
static RSAKey *rsa_new(void)
{
RSAKey *rsa = snew(RSAKey);
memset(rsa, 0, sizeof(RSAKey));
return rsa;
}
strbuf *ecdh_key_getkey_wrapper(ecdh_key *ek, ptrlen remoteKey)
{
/* Fold the boolean return value in C into the string return value
* for this purpose, by returning NULL on failure */
strbuf *sb = strbuf_new();
if (!ecdh_key_getkey(ek, remoteKey, BinarySink_UPCAST(sb))) {
strbuf_free(sb);
return NULL;
}
return sb;
}
static void int16_list_resize(int16_list *list, unsigned p)
{
list->integers = sresize(list->integers, p, uint16_t);
for (size_t i = list->n; i < p; i++)
list->integers[i] = 0;
}
#if 0
static int16_list ntru_ring_to_list_and_free(uint16_t *out, unsigned p)
{
struct mpint_list mpl;
mpl.n = p;
mpl->integers = snewn(p, mp_int *);
for (unsigned i = 0; i < p; i++)
mpl->integers[i] = mp_from_integer((int16_t)out[i]);
sfree(out);
add_finaliser(finaliser_sfree, mpl->integers);
return mpl;
}
#endif
int16_list *ntru_ring_multiply_wrapper(
int16_list *a, int16_list *b, unsigned p, unsigned q)
{
int16_list_resize(a, p);
int16_list_resize(b, p);
int16_list *out = make_int16_list(p);
ntru_ring_multiply(out->integers, a->integers, b->integers, p, q);
return out;
}
int16_list *ntru_ring_invert_wrapper(int16_list *in, unsigned p, unsigned q)
{
int16_list_resize(in, p);
int16_list *out = make_int16_list(p);
unsigned success = ntru_ring_invert(out->integers, in->integers, p, q);
if (!success)
return NULL;
return out;
}
int16_list *ntru_mod3_wrapper(int16_list *in, unsigned p, unsigned q)
{
int16_list_resize(in, p);
int16_list *out = make_int16_list(p);
ntru_mod3(out->integers, in->integers, p, q);
return out;
}
int16_list *ntru_round3_wrapper(int16_list *in, unsigned p, unsigned q)
{
int16_list_resize(in, p);
int16_list *out = make_int16_list(p);
ntru_round3(out->integers, in->integers, p, q);
return out;
}
int16_list *ntru_bias_wrapper(int16_list *in, unsigned bias,
unsigned p, unsigned q)
{
int16_list_resize(in, p);
int16_list *out = make_int16_list(p);
ntru_bias(out->integers, in->integers, bias, p, q);
return out;
}
int16_list *ntru_scale_wrapper(int16_list *in, unsigned scale,
unsigned p, unsigned q)
{
int16_list_resize(in, p);
int16_list *out = make_int16_list(p);
ntru_scale(out->integers, in->integers, scale, p, q);
return out;
}
NTRUEncodeSchedule *ntru_encode_schedule_wrapper(int16_list *in)
{
return ntru_encode_schedule(in->integers, in->n);
}
void ntru_encode_wrapper(NTRUEncodeSchedule *sched, int16_list *rs,
BinarySink *bs)
{
ntru_encode(sched, rs->integers, bs);
}
int16_list *ntru_decode_wrapper(NTRUEncodeSchedule *sched, ptrlen data)
{
int16_list *out = make_int16_list(ntru_encode_schedule_nvals(sched));
ntru_decode(sched, out->integers, data);
return out;
}
int16_list *ntru_gen_short_wrapper(unsigned p, unsigned w)
{
int16_list *out = make_int16_list(p);
ntru_gen_short(out->integers, p, w);
return out;
}
int16_list *ntru_pubkey_wrapper(NTRUKeyPair *keypair)
{
unsigned p = ntru_keypair_p(keypair);
int16_list *out = make_int16_list(p);
memcpy(out->integers, ntru_pubkey(keypair), p*sizeof(uint16_t));
return out;
}
int16_list *ntru_encrypt_wrapper(int16_list *plaintext, int16_list *pubkey,
unsigned p, unsigned q)
{
int16_list *out = make_int16_list(p);
ntru_encrypt(out->integers, plaintext->integers, pubkey->integers, p, q);
return out;
}
int16_list *ntru_decrypt_wrapper(int16_list *ciphertext, NTRUKeyPair *keypair)
{
unsigned p = ntru_keypair_p(keypair);
int16_list *out = make_int16_list(p);
ntru_decrypt(out->integers, ciphertext->integers, keypair);
return out;
}
New post-quantum kex: ML-KEM, and three hybrids of it. As standardised by NIST in FIPS 203, this is a lattice-based post-quantum KEM. Very vaguely, the idea of it is that your public key is a matrix A and vector t, and the private key is the knowledge of how to decompose t into two vectors with all their coefficients small, one transformed by A relative to the other. Encryption of a binary secret starts by turning each bit into one of two maximally separated residues mod a prime q, and then adding 'noise' based on the public key in the form of small increments and decrements mod q, again with some of the noise transformed by A relative to the rest. Decryption uses the knowledge of t's decomposition to align the two sets of noise so that the _large_ changes (which masked the secret from an eavesdropper) cancel out, leaving only a collection of small changes to the original secret vector. Then the vector of input bits can be recovered by assuming that those accumulated small pieces of noise haven't concentrated in any particular residue enough to push it more than half way to the other of its possible starting values. A weird feature of it is that decryption is not a true mathematical inverse of encryption. The assumption that the noise doesn't get large enough to flip any bit of the secret is only probabilistically valid, not a hard guarantee. In other words, key agreement can fail, simply by getting particularly unlucky with the distribution of your random noise! However, the probability of a failure is very low - less than 2^-138 even for ML-KEM-512, and gets even smaller with the larger variants. An awkward feature for our purposes is that the matrix A, containing a large number of residues mod the prime q=3329, is required to be constructed by a process of rejection sampling, i.e. generating random 12-bit values and throwing away the out-of-range ones. That would be a real pain for our side-channel testing system, which generally handles rejection sampling badly (since it necessarily involves data-dependent control flow and timing variation). Fortunately, the matrix and the random seed it was made from are both public: the matrix seed is transmitted as part of the public key, so it's not necessary to try to hide it. Accordingly, I was able to get the implementation to pass testsc by means of not varying the matrix seed between runs, which is justified by the principle of testsc that you vary the _secrets_ to ensure timing is independent of them - and the matrix seed isn't a secret, so you're allowed to keep it the same. The three hybrid algorithms, defined by the current Internet-Draft draft-kampanakis-curdle-ssh-pq-ke, include one hybrid of ML-KEM-768 with Curve25519 in exactly the same way we were already hybridising NTRU Prime with Curve25519, and two more hybrids of ML-KEM with ECDH over a NIST curve. The former hybrid interoperates with the implementation in OpenSSH 9.9; all three interoperate with the fork 'openssh-oqs' at github.com/open-quantum-safe/openssh, and also with the Python library AsyncSSH.
2024-12-07 19:33:39 +00:00
void mlkem_keygen_internal_wrapper(
BinarySink *ek, BinarySink *dk, const mlkem_params *params,
ptrlen d, ptrlen z)
{
assert(d.len == 32 && "Invalid d length");
assert(z.len == 32 && "Invalid z length");
mlkem_keygen_internal(ek, dk, params, d.ptr, z.ptr);
}
void mlkem_keygen_rho_sigma_wrapper(
BinarySink *ek, BinarySink *dk, const mlkem_params *params,
ptrlen rho, ptrlen sigma, ptrlen z)
{
assert(rho.len == 32 && "Invalid rho length");
assert(sigma.len == 32 && "Invalid sigma length");
assert(z.len == 32 && "Invalid z length");
mlkem_keygen_rho_sigma(ek, dk, params, rho.ptr, sigma.ptr, z.ptr);
}
bool mlkem_encaps_internal_wrapper(BinarySink *ciphertext, BinarySink *kout,
const mlkem_params *params, ptrlen ek,
ptrlen m)
{
assert(m.len == 32 && "Invalid m length");
return mlkem_encaps_internal(ciphertext, kout, params, ek, m.ptr);
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
strbuf *rsa_ssh1_encrypt_wrapper(ptrlen input, RSAKey *key)
{
/* Fold the boolean return value in C into the string return value
* for this purpose, by returning NULL on failure */
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
strbuf *sb = strbuf_new();
put_datapl(sb, input);
put_padding(sb, key->bytes - input.len, 0);
if (!rsa_ssh1_encrypt(sb->u, input.len, key)) {
strbuf_free(sb);
return NULL;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
strbuf *rsa_ssh1_decrypt_pkcs1_wrapper(mp_int *input, RSAKey *key)
{
/* Again, return "" on failure */
strbuf *sb = strbuf_new();
if (!rsa_ssh1_decrypt_pkcs1(input, key, sb))
strbuf_clear(sb);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return sb;
}
strbuf *des_encrypt_xdmauth_wrapper(ptrlen key, ptrlen data)
{
if (key.len != 7)
fatal_error("des_encrypt_xdmauth: key must be 7 bytes long");
if (data.len % 8 != 0)
fatal_error("des_encrypt_xdmauth: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des_encrypt_xdmauth(key.ptr, sb->u, sb->len);
return sb;
}
strbuf *des_decrypt_xdmauth_wrapper(ptrlen key, ptrlen data)
{
if (key.len != 7)
fatal_error("des_decrypt_xdmauth: key must be 7 bytes long");
if (data.len % 8 != 0)
fatal_error("des_decrypt_xdmauth: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des_decrypt_xdmauth(key.ptr, sb->u, sb->len);
return sb;
}
strbuf *des3_encrypt_pubkey_wrapper(ptrlen key, ptrlen data)
{
if (key.len != 16)
fatal_error("des3_encrypt_pubkey: key must be 16 bytes long");
if (data.len % 8 != 0)
fatal_error("des3_encrypt_pubkey: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des3_encrypt_pubkey(key.ptr, sb->u, sb->len);
return sb;
}
strbuf *des3_decrypt_pubkey_wrapper(ptrlen key, ptrlen data)
{
if (key.len != 16)
fatal_error("des3_decrypt_pubkey: key must be 16 bytes long");
if (data.len % 8 != 0)
fatal_error("des3_decrypt_pubkey: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des3_decrypt_pubkey(key.ptr, sb->u, sb->len);
return sb;
}
strbuf *des3_encrypt_pubkey_ossh_wrapper(ptrlen key, ptrlen iv, ptrlen data)
{
if (key.len != 24)
fatal_error("des3_encrypt_pubkey_ossh: key must be 24 bytes long");
if (iv.len != 8)
fatal_error("des3_encrypt_pubkey_ossh: iv must be 8 bytes long");
if (data.len % 8 != 0)
fatal_error("des3_encrypt_pubkey_ossh: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des3_encrypt_pubkey_ossh(key.ptr, iv.ptr, sb->u, sb->len);
return sb;
}
strbuf *des3_decrypt_pubkey_ossh_wrapper(ptrlen key, ptrlen iv, ptrlen data)
{
if (key.len != 24)
fatal_error("des3_decrypt_pubkey_ossh: key must be 24 bytes long");
if (iv.len != 8)
fatal_error("des3_encrypt_pubkey_ossh: iv must be 8 bytes long");
if (data.len % 8 != 0)
fatal_error("des3_decrypt_pubkey_ossh: data must be a multiple of 8 bytes");
strbuf *sb = strbuf_dup(data);
des3_decrypt_pubkey_ossh(key.ptr, iv.ptr, sb->u, sb->len);
return sb;
}
strbuf *aes256_encrypt_pubkey_wrapper(ptrlen key, ptrlen iv, ptrlen data)
{
if (key.len != 32)
fatal_error("aes256_encrypt_pubkey: key must be 32 bytes long");
if (iv.len != 16)
fatal_error("aes256_encrypt_pubkey: iv must be 16 bytes long");
if (data.len % 16 != 0)
fatal_error("aes256_encrypt_pubkey: data must be a multiple of 16 bytes");
strbuf *sb = strbuf_dup(data);
aes256_encrypt_pubkey(key.ptr, iv.ptr, sb->u, sb->len);
return sb;
}
strbuf *aes256_decrypt_pubkey_wrapper(ptrlen key, ptrlen iv, ptrlen data)
{
if (key.len != 32)
fatal_error("aes256_decrypt_pubkey: key must be 32 bytes long");
if (iv.len != 16)
fatal_error("aes256_encrypt_pubkey: iv must be 16 bytes long");
if (data.len % 16 != 0)
fatal_error("aes256_decrypt_pubkey: data must be a multiple of 16 bytes");
strbuf *sb = strbuf_dup(data);
aes256_decrypt_pubkey(key.ptr, iv.ptr, sb->u, sb->len);
return sb;
}
Replace PuTTY's PRNG with a Fortuna-like system. This tears out the entire previous random-pool system in sshrand.c. In its place is a system pretty close to Ferguson and Schneier's 'Fortuna' generator, with the main difference being that I use SHA-256 instead of AES for the generation side of the system (rationale given in comment). The PRNG implementation lives in sshprng.c, and defines a self- contained data type with no state stored outside the object, so you can instantiate however many of them you like. The old sshrand.c still exists, but in place of the previous random pool system, it's just become a client of sshprng.c, whose job is to hold a single global instance of the PRNG type, and manage its reference count, save file, noise-collection timers and similar administrative business. Advantages of this change include: - Fortuna is designed with a more varied threat model in mind than my old home-grown random pool. For example, after any request for random numbers, it automatically re-seeds itself, so that if the state of the PRNG should be leaked, it won't give enough information to find out what past outputs _were_. - The PRNG type can be instantiated with any hash function; the instance used by the main tools is based on SHA-256, an improvement on the old pool's use of SHA-1. - The new PRNG only uses the completely standard interface to the hash function API, instead of having to have privileged access to the internal SHA-1 block transform function. This will make it easier to revamp the hash code in general, and also it means that hardware-accelerated versions of SHA-256 will automatically be used for the PRNG as well as for everything else. - The new PRNG can be _tested_! Because it has an actual (if not quite explicit) specification for exactly what the output numbers _ought_ to be derived from the hashes of, I can (and have) put tests in cryptsuite that ensure the output really is being derived in the way I think it is. The old pool could have been returning any old nonsense and it would have been very hard to tell for sure.
2019-01-22 22:42:41 +00:00
strbuf *prng_read_wrapper(prng *pr, size_t size)
{
strbuf *sb = strbuf_new();
prng_read(pr, strbuf_append(sb, size), size);
return sb;
}
void prng_seed_update(prng *pr, ptrlen data)
{
put_datapl(pr, data);
}
bool crcda_detect(ptrlen packet, ptrlen iv)
{
if (iv.len != 0 && iv.len != 8)
fatal_error("crcda_detect: iv must be empty or 8 bytes long");
if (packet.len % 8 != 0)
fatal_error("crcda_detect: packet must be a multiple of 8 bytes");
struct crcda_ctx *ctx = crcda_make_context();
bool toret = detect_attack(ctx, packet.ptr, packet.len,
iv.len ? iv.ptr : NULL);
crcda_free_context(ctx);
return toret;
}
ssh_key *ppk_load_s_wrapper(BinarySource *src, char **comment,
const char *passphrase, const char **errorstr)
{
ssh2_userkey *uk = ppk_load_s(src, passphrase, errorstr);
if (uk == SSH2_WRONG_PASSPHRASE) {
/* Fudge this special return value */
*errorstr = "SSH2_WRONG_PASSPHRASE";
return NULL;
}
if (uk == NULL)
return NULL;
ssh_key *toret = uk->key;
*comment = uk->comment;
sfree(uk);
return toret;
}
int rsa1_load_s_wrapper(BinarySource *src, RSAKey *rsa, char **comment,
const char *passphrase, const char **errorstr)
{
int toret = rsa1_load_s(src, rsa, passphrase, errorstr);
*comment = rsa->comment;
rsa->comment = NULL;
return toret;
}
strbuf *ppk_save_sb_wrapper(
ssh_key *key, const char *comment, const char *passphrase,
unsigned fmt_version, Argon2Flavour flavour,
uint32_t mem, uint32_t passes, uint32_t parallel)
{
/*
* For repeatable testing purposes, we never want a timing-dependent
* choice of password hashing parameters, so this is easy.
*/
ppk_save_parameters save_params;
memset(&save_params, 0, sizeof(save_params));
save_params.fmt_version = fmt_version;
save_params.argon2_flavour = flavour;
save_params.argon2_mem = mem;
save_params.argon2_passes_auto = false;
save_params.argon2_passes = passes;
save_params.argon2_parallelism = parallel;
ssh2_userkey uk;
uk.key = key;
uk.comment = dupstr(comment);
strbuf *toret = ppk_save_sb(&uk, passphrase, &save_params);
sfree(uk.comment);
return toret;
}
strbuf *rsa1_save_sb_wrapper(RSAKey *key, const char *comment,
const char *passphrase)
{
key->comment = dupstr(comment);
strbuf *toret = rsa1_save_sb(key, passphrase);
sfree(key->comment);
key->comment = NULL;
return toret;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define return_void(out, expression) (expression)
static ProgressReceiver null_progress = { .vt = &null_progress_vt };
mp_int *primegen_generate_wrapper(
PrimeGenerationContext *ctx, PrimeCandidateSource *pcs)
{
return primegen_generate(ctx, pcs, &null_progress);
}
2020-03-02 06:52:09 +00:00
RSAKey *rsa1_generate(int bits, bool strong, PrimeGenerationContext *pgc)
{
RSAKey *rsakey = snew(RSAKey);
2020-03-02 06:52:09 +00:00
rsa_generate(rsakey, bits, strong, pgc, &null_progress);
rsakey->comment = NULL;
return rsakey;
}
2020-03-02 06:52:09 +00:00
ssh_key *rsa_generate_wrapper(int bits, bool strong,
PrimeGenerationContext *pgc)
{
2020-03-02 06:52:09 +00:00
return &rsa1_generate(bits, strong, pgc)->sshk;
}
ssh_key *dsa_generate_wrapper(int bits, PrimeGenerationContext *pgc)
{
struct dsa_key *dsakey = snew(struct dsa_key);
dsa_generate(dsakey, bits, pgc, &null_progress);
return &dsakey->sshk;
}
ssh_key *ecdsa_generate_wrapper(int bits)
{
struct ecdsa_key *ek = snew(struct ecdsa_key);
if (!ecdsa_generate(ek, bits)) {
sfree(ek);
return NULL;
}
return &ek->sshk;
}
ssh_key *eddsa_generate_wrapper(int bits)
{
struct eddsa_key *ek = snew(struct eddsa_key);
if (!eddsa_generate(ek, bits)) {
sfree(ek);
return NULL;
}
return &ek->sshk;
}
size_t key_components_count(key_components *kc) { return kc->ncomponents; }
const char *key_components_nth_name(key_components *kc, size_t n)
{
return (n >= kc->ncomponents ? NULL :
kc->components[n].name);
}
strbuf *key_components_nth_str(key_components *kc, size_t n)
{
if (n >= kc->ncomponents)
return NULL;
if (kc->components[n].type != KCT_TEXT &&
kc->components[n].type != KCT_BINARY)
return NULL;
return strbuf_dup(ptrlen_from_strbuf(kc->components[n].str));
}
mp_int *key_components_nth_mp(key_components *kc, size_t n)
{
return (n >= kc->ncomponents ? NULL :
kc->components[n].type != KCT_MPINT ? NULL :
mp_copy(kc->components[n].mp));
}
New 'Pockle' object, for verifying primality. This implements an extended form of primality verification using certificates based on Pocklington's theorem. You make a Pockle object, and then try to convince it that one number after another is prime, by means of providing it with a list of prime factors of p-1 and a primitive root. (Or just by saying 'this prime is small enough for you to check yourself'.) Pocklington's theorem requires you to have factors of p-1 whose product is at least the square root of p. I've extended that to support factorisations only as big as the cube root, via an extension of the theorem given in Maurer's paper on generating provable primes. The Pockle object is more or less write-only: it has no methods for reading out its contents. Its only output channel is the return value when you try to insert a prime into it: if it isn't sufficiently convinced that your prime is prime, it will return an error code. So anything for which it returns POCKLE_OK you can be confident of. I'm going to use this for provable prime generation. But exposing this part of the system as an object in its own right means I can write a set of unit tests for this specifically. My negative tests exercise all the different ways a certification can be erroneous or inadequate; the positive tests include proofs of primality of various primes used in elliptic-curve crypto. The Poly1305 proof in particular is taken from a proof in DJB's paper, which has exactly the form of a Pocklington certificate only written in English.
2020-02-23 15:16:30 +00:00
PockleStatus pockle_add_prime_wrapper(Pockle *pockle, mp_int *p,
struct mpint_list mpl, mp_int *witness)
{
return pockle_add_prime(pockle, p, mpl.integers, mpl.n, witness);
}
strbuf *argon2_wrapper(Argon2Flavour flavour, uint32_t mem, uint32_t passes,
uint32_t parallel, uint32_t taglen,
ptrlen P, ptrlen S, ptrlen K, ptrlen X)
{
strbuf *out = strbuf_new();
argon2(flavour, mem, passes, parallel, taglen, P, S, K, X, out);
return out;
}
strbuf *openssh_bcrypt_wrapper(ptrlen passphrase, ptrlen salt,
unsigned rounds, unsigned outbytes)
{
strbuf *out = strbuf_new();
openssh_bcrypt(passphrase, salt, rounds,
strbuf_append(out, outbytes), outbytes);
return out;
}
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
strbuf *get_implementations_commasep(ptrlen alg)
{
strbuf *out = strbuf_new();
put_datapl(out, alg);
Implement AES-GCM using the @openssh.com protocol IDs. I only recently found out that OpenSSH defined their own protocol IDs for AES-GCM, defined to work the same as the standard ones except that they fixed the semantics for how you select the linked cipher+MAC pair during key exchange. (RFC 5647 defines protocol ids for AES-GCM in both the cipher and MAC namespaces, and requires that you MUST select both or neither - but this contradicts the selection policy set out in the base SSH RFCs, and there's no discussion of how you resolve a conflict between them! OpenSSH's answer is to do it the same way ChaCha20-Poly1305 works, because that will ensure the two suites don't fight.) People do occasionally ask us for this linked cipher/MAC pair, and now I know it's actually feasible, I've implemented it, including a pair of vector implementations for x86 and Arm using their respective architecture extensions for multiplying polynomials over GF(2). Unlike ChaCha20-Poly1305, I've kept the cipher and MAC implementations in separate objects, with an arm's-length link between them that the MAC uses when it needs to encrypt single cipher blocks to use as the inputs to the MAC algorithm. That enables the cipher and the MAC to be independently selected from their hardware-accelerated versions, just in case someone runs on a system that has polynomial multiplication instructions but not AES acceleration, or vice versa. There's a fourth implementation of the GCM MAC, which is a pure software implementation of the same algorithm used in the vectorised versions. It's too slow to use live, but I've kept it in the code for future testing needs, and because it's a convenient place to dump my design comments. The vectorised implementations are fairly crude as far as optimisation goes. I'm sure serious x86 _or_ Arm optimisation engineers would look at them and laugh. But GCM is a fast MAC compared to HMAC-SHA-256 (indeed compared to HMAC-anything-at-all), so it should at least be good enough to use. And we've got a working version with some tests now, so if someone else wants to improve them, they can.
2022-08-16 17:36:58 +00:00
if (ptrlen_startswith(alg, PTRLEN_LITERAL("aesgcm"), NULL)) {
put_fmt(out, ",%.*s_sw", PTRLEN_PRINTF(alg));
put_fmt(out, ",%.*s_ref_poly", PTRLEN_PRINTF(alg));
#if HAVE_CLMUL
put_fmt(out, ",%.*s_clmul", PTRLEN_PRINTF(alg));
#endif
#if HAVE_NEON_PMULL
put_fmt(out, ",%.*s_neon", PTRLEN_PRINTF(alg));
#endif
} else if (ptrlen_startswith(alg, PTRLEN_LITERAL("aes"), NULL)) {
put_fmt(out, ",%.*s_sw", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#if HAVE_AES_NI
put_fmt(out, ",%.*s_ni", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#endif
#if HAVE_NEON_CRYPTO
put_fmt(out, ",%.*s_neon", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#endif
} else if (ptrlen_startswith(alg, PTRLEN_LITERAL("sha256"), NULL) ||
ptrlen_startswith(alg, PTRLEN_LITERAL("sha1"), NULL)) {
put_fmt(out, ",%.*s_sw", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#if HAVE_SHA_NI
put_fmt(out, ",%.*s_ni", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#endif
#if HAVE_NEON_CRYPTO
put_fmt(out, ",%.*s_neon", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#endif
} else if (ptrlen_startswith(alg, PTRLEN_LITERAL("sha512"), NULL)) {
put_fmt(out, ",%.*s_sw", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#if HAVE_NEON_SHA512
put_fmt(out, ",%.*s_neon", PTRLEN_PRINTF(alg));
Break up crypto modules containing HW acceleration. This applies to all of AES, SHA-1, SHA-256 and SHA-512. All those source files previously contained multiple implementations of the algorithm, enabled or disabled by ifdefs detecting whether they would work on a given compiler. And in order to get advanced machine instructions like AES-NI or NEON crypto into the output file when the compile flags hadn't enabled them, we had to do nasty stuff with compiler-specific pragmas or attributes. Now we can do the detection at cmake time, and enable advanced instructions in the more sensible way, by compile-time flags. So I've broken up each of these modules into lots of sub-pieces: a file called (e.g.) 'foo-common.c' containing common definitions across all implementations (such as round constants), one called 'foo-select.c' containing the top-level vtable(s), and a separate file for each implementation exporting just the vtable(s) for that implementation. One advantage of this is that it depends a lot less on compiler- specific bodgery. My particular least favourite part of the previous setup was the part where I had to _manually_ define some Arm ACLE feature macros before including <arm_neon.h>, so that it would define the intrinsics I wanted. Now I'm enabling interesting architecture features in the normal way, on the compiler command line, there's no need for that kind of trick: the right feature macros are already defined and <arm_neon.h> does the right thing. Another change in this reorganisation is that I've stopped assuming there's just one hardware implementation per platform. Previously, the accelerated vtables were called things like sha256_hw, and varied between FOO-NI and NEON depending on platform; and the selection code would simply ask 'is hw available? if so, use hw, else sw'. Now, each HW acceleration strategy names its vtable its own way, and the selection vtable has a whole list of possibilities to iterate over looking for a supported one. So if someone feels like writing a second accelerated implementation of something for a given platform - for example, I've heard you can use plain NEON to speed up AES somewhat even without the crypto extension - then it will now have somewhere to drop in alongside the existing ones.
2021-04-19 05:42:12 +00:00
#endif
}
return out;
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define OPTIONAL_PTR_FUNC(type) \
typedef TD_val_##type TD_opt_val_##type; \
static TD_opt_val_##type get_opt_val_##type(BinarySource *in) { \
ptrlen word = get_word(in); \
if (ptrlen_eq_string(word, "NULL")) \
return NULL; \
return unwrap_value_##type(lookup_value(word))->vu_##type; \
}
Merge the ssh1_cipher type into ssh2_cipher. The aim of this reorganisation is to make it easier to test all the ciphers in PuTTY in a uniform way. It was inconvenient that there were two separate vtable systems for the ciphers used in SSH-1 and SSH-2 with different functionality. Now there's only one type, called ssh_cipher. But really it's the old ssh2_cipher, just renamed: I haven't made any changes to the API on the SSH-2 side. Instead, I've removed ssh1_cipher completely, and adapted the SSH-1 BPP to use the SSH-2 style API. (The relevant differences are that ssh1_cipher encapsulated both the sending and receiving directions in one object - so now ssh1bpp has to make a separate cipher instance per direction - and that ssh1_cipher automatically initialised the IV to all zeroes, which ssh1bpp now has to do by hand.) The previous ssh1_cipher vtable for single-DES has been removed completely, because when converted into the new API it became identical to the SSH-2 single-DES vtable; so now there's just one vtable for DES-CBC which works in both protocols. The other two SSH-1 ciphers each had to stay separate, because 3DES is completely different between SSH-1 and SSH-2 (three layers of CBC structure versus one), and Blowfish varies in endianness and key length between the two. (Actually, while I'm here, I've only just noticed that the SSH-1 Blowfish cipher mis-describes itself in log messages as Blowfish-128. In fact it passes the whole of the input key buffer, which has length SSH1_SESSION_KEY_LENGTH == 32 bytes == 256 bits. So it's actually Blowfish-256, and has been all along!)
2019-01-17 18:06:08 +00:00
OPTIONAL_PTR_FUNC(cipher)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
OPTIONAL_PTR_FUNC(mpint)
OPTIONAL_PTR_FUNC(string)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
/*
* HERE BE DRAGONS: the horrible C preprocessor business that reads
* testcrypt-func.h and generates a marshalling wrapper for each
* exported function.
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* In an ideal world, we would start from a specification like this in
* testcrypt-func.h
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* FUNC(val_foo, example, ARG(val_bar, bar), ARG(uint, n))
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* and generate a wrapper function looking like this:
*
* static void handle_example(BinarySource *in, strbuf *out) {
* TD_val_bar bar = get_val_bar(in);
* TD_uint n = get_uint(in);
* return_val_foo(out, example(bar, n));
* }
*
* which would read the marshalled form of each function argument in
* turn from the input BinarySource via the get_<type>() function
* family defined in this file; assign each argument to a local
* variable; call the underlying C function with all those arguments;
* and then call a function of the return_<type>() family to marshal
* the output value into the output strbuf to be sent to standard
* output.
*
* With a more general macro processor such as m4, or custom code in
* Perl or Python, or a helper program like llvm-tblgen, we could just
* do that directly, reading function specifications from
* testcrypt-func.h and writing out exactly the above. But we don't
* have a fully general macro processor (since everything in that
* category introduces an extra build dependency that's awkward on
* plain Windows, or requires compiling and running a helper program
* which is awkward in a cross-compile). We only have cpp. And in cpp,
* a macro can't expand one of its arguments differently in two parts
* of its own expansion. So we have to be more clever.
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* In place of the above code, I instead generate three successive
* declarations for each function. In simplified form they would look
* like this:
*
* typedef struct ARGS_example {
* TD_val_bar bar;
* TD_uint n;
* } ARGS_example;
*
* static inline ARGS_example get_args_example(BinarySource *in) {
* ARGS_example args;
* args.bar = get_val_bar(in);
* args.n = get_uint(in);
* return args;
* }
*
* static void handle_example(BinarySource *in, strbuf *out) {
* ARGS_example args = get_args_example(in);
* return_val_foo(out, example(args.bar, args.n));
* }
*
* Each of these mentions the arguments and their types just _once_,
* so each one can be generated by a single expansion of the FUNC(...)
* specification in testcrypt-func.h, with FUNC and ARG and VOID
* defined to appropriate values.
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* Or ... *nearly*. In fact, I left out several details there, but
* it's a good starting point to understand the full version.
*
* To begin with, several of the variable names shown above are
* actually named with an ugly leading underscore, to minimise the
* chance of them colliding with real parameter names. (You could
* easily imagine 'out' being the name of a parameter to one of the
* wrapped functions.) Also, we memset the whole structure to zero at
* the start of get_args_example() to avoid compiler warnings about
* uninitialised stuff, and insert a precautionary '(void)args;' in
* handle_example to avoid a similar warning about _unused_ stuff.
*
* The big problem is the commas that have to appear between arguments
* in the final call to the actual C function. Those can't be
* generated by expanding the ARG macro itself, or you'd get one too
* many - either a leading comma or a trailing comma. Trailing commas
* are legal in a Python function call, but unfortunately C is not yet
* so enlightened. (C permits a trailing comma in a struct or array
* initialiser, and is coming round to it in enums, but hasn't yet
* seen the light about function calls or function prototypes.)
*
* So the commas must appear _between_ ARG(...) specifiers. And that
* means they unavoidably appear in _every_ expansion of FUNC() (or
* rather, every expansion that uses the variadic argument list at
* all). Therefore, we need to ensure they're harmless in the other
* two functions as well.
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* In the get_args_example() function above, there's no real problem.
* The list of assignments can perfectly well be separated by commas
* instead of semicolons, so that it becomes a single expression-
* statement instead of a sequence of them; the comma operator still
* defines a sequence point, so it's fine.
*
* But what about the structure definition of ARGS_example?
*
* To get round that, we fill the structure with pointless extra
* cruft, in the form of an extra 'int' field before and after each
* actually useful argument field. So the real structure definition
* ends up looking more like this:
*
* typedef struct ARGS_example {
* int _predummy_bar;
* TD_val_bar bar;
* int _postdummy_bar, _predummy_n;
* TD_uint n;
* int _postdummy_n;
* } ARGS_example;
*
* Those extra 'int' fields are ignored completely at run time. They
* might cause a runtime space cost if the struct doesn't get
* completely optimised away when get_args_example is inlined into
* handle_example, but even if so, that's OK, this is a test program
* whose memory usage isn't critical. The real point is that, in
* between each pair of real arguments, there's a declaration
* containing *two* int variables, and in between them is the vital
* comma that we need!
*
* So in that pass through testcrypt-func.h, the ARG(type, name) macro
* has to expand to the weird piece of text
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*
* _predummy_name; // terminating the previous int declaration
* TD_type name; // declaring the thing we actually wanted
* int _postdummy_name // new declaration ready to see a comma
*
* so that a comma-separated list of pieces of expansion like that
* will fall into just the right form to be the core of the above
* expanded structure definition. Then we just need to put in the
* 'int' after the open brace, and the ';' before the closing brace,
* and we've got everything we need to make it all syntactically legal.
*
* Finally, what if a wrapped function has _no_ arguments? Two out of
* three uses of the argument list here need some kind of special case
* for that. That's why you have to write 'VOID' explicitly in an
* empty argument list in testcrypt-func.h: we make VOID expand to
* whatever is needed to avoid a syntax error in that special case.
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
*/
/*
* Workarounds for an awkwardness in Visual Studio's preprocessor,
* which disagrees with everyone else about what happens if you expand
* __VA_ARGS__ into the argument list of another macro. gcc and clang
* will treat the commas expanding from __VA_ARGS__ as argument
* separators, whereas VS will make them all part of a single argument
* to the secondary macro. We want the former behaviour, so we use
* the following workaround to enforce it.
*
* Each of these JUXTAPOSE macros simply places its arguments side by
* side. But the arguments are macro-expanded before JUXTAPOSE is
* called at all, so we can do this:
*
* JUXTAPOSE(macroname, (__VA_ARGS__))
* -> JUXTAPOSE(macroname, (foo, bar, baz))
* -> macroname (foo, bar, baz)
*
* and this preliminary expansion causes the commas to be treated
* normally by the time VS gets round to expanding the inner macro.
*
* We need two differently named JUXTAPOSE macros, because we have to
* do this trick twice: once to turn FUNC and FUNC_WRAPPED in
* testcrypt-funcs.h into the underlying common FUNC_INNER, and again
* to expand the final function call. And you can't expand a macro
* inside text expanded from the _same_ macro, so we have to do the
* outer and inner instances of this trick using macros of different
* names.
*/
#define JUXTAPOSE1(first, second) first second
#define JUXTAPOSE2(first, second) first second
#define FUNC(outtype, fname, ...) \
JUXTAPOSE1(FUNC_INNER, (outtype, fname, fname, __VA_ARGS__))
#define FUNC_WRAPPED(outtype, fname, ...) \
JUXTAPOSE1(FUNC_INNER, (outtype, fname, fname##_wrapper, __VA_ARGS__))
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
#define ARG(type, arg) _predummy_##arg; TD_##type arg; int _postdummy_##arg
#define VOID _voiddummy
#define FUNC_INNER(outtype, fname, realname, ...) \
typedef struct ARGS_##fname { \
int __VA_ARGS__; \
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
} ARGS_##fname;
#include "testcrypt-func.h"
#undef FUNC_INNER
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
#undef ARG
#undef VOID
#define ARG(type, arg) _args.arg = get_##type(_in)
#define VOID ((void)0)
#define FUNC_INNER(outtype, fname, realname, ...) \
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
static inline ARGS_##fname get_args_##fname(BinarySource *_in) { \
ARGS_##fname _args; \
memset(&_args, 0, sizeof(_args)); \
__VA_ARGS__; \
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
return _args; \
}
#include "testcrypt-func.h"
#undef FUNC_INNER
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
#undef ARG
#undef VOID
#define ARG(type, arg) _args.arg
#define VOID
#define FUNC_INNER(outtype, fname, realname, ...) \
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
static void handle_##fname(BinarySource *_in, strbuf *_out) { \
ARGS_##fname _args = get_args_##fname(_in); \
(void)_args; /* suppress warning if no actual arguments */ \
return_##outtype(_out, JUXTAPOSE2(realname, (__VA_ARGS__))); \
}
#include "testcrypt-func.h"
#undef FUNC_INNER
Rewrite the testcrypt.c macro system. Yesterday's commit 52ee636b092c199 which further extended the huge pile of arity-specific annoying wrapper macros pushed me over the edge and inspired me to give some harder thought to finding a way to handle all arities at once. And this time I found one! The new technique changes the syntax of the function specifications in testcrypt.h. In particular, they now have to specify a _name_ for each parameter as well as a type, because the macros generating the C marshalling wrappers will need a structure field for each parameter and cpp isn't flexible enough to generate names for those fields automatically. Rather than tediously name them arg1, arg2 etc, I've reused the names of the parameters from the prototypes or definitions of the underlying real functions (via a one-off auto-extraction process starting from the output of 'clang -Xclang -dump-ast' plus some manual polishing), which means testcrypt.h is now a bit more self-documenting. The testcrypt.py end of the mechanism is rewritten to eat the new format. Since it's got more complicated syntax and nested parens and things, I've written something a bit like a separated lexer/parser system in place of the previous crude regex matcher, which should enforce that the whole header file really does conform to the restricted syntax it has to fit into. The new system uses a lot less code in testcrypt.c, but I've made up for that by also writing a long comment explaining how it works, which was another thing the previous system lacked! Similarly, the new testcrypt.h has some long-overdue instructions at the top.
2021-11-21 10:27:30 +00:00
#undef ARG
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
static void process_line(BinarySource *in, strbuf *out)
{
ptrlen id = get_word(in);
#define DISPATCH_INTERNAL(cmdname, handler) do { \
if (ptrlen_eq_string(id, cmdname)) { \
handler(in, out); \
return; \
} \
} while (0)
#define DISPATCH_COMMAND(cmd) DISPATCH_INTERNAL(#cmd, handle_##cmd)
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
DISPATCH_COMMAND(hello);
DISPATCH_COMMAND(free);
DISPATCH_COMMAND(newstring);
DISPATCH_COMMAND(getstring);
DISPATCH_COMMAND(mp_literal);
DISPATCH_COMMAND(mp_dump);
DISPATCH_COMMAND(checkenum);
#undef DISPATCH_COMMAND
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#define FUNC_INNER(outtype, fname, realname, ...) \
DISPATCH_INTERNAL(#fname,handle_##fname);
#include "testcrypt-func.h"
#undef FUNC_INNER
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
#undef DISPATCH_INTERNAL
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
fatal_error("command '%.*s': unrecognised", PTRLEN_PRINTF(id));
}
static void free_all_values(void)
{
for (Value *val; (val = delpos234(values, 0)) != NULL ;)
free_value(val);
freetree234(values);
}
void dputs(const char *buf)
{
fputs(buf, stderr);
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
int main(int argc, char **argv)
{
const char *infile = NULL, *outfile = NULL;
bool doing_opts = true;
Arm: turn on PSTATE.DIT if available and needed. DIT, for 'Data-Independent Timing', is a bit you can set in the processor state on sufficiently new Arm CPUs, which promises that a long list of instructions will deliberately avoid varying their timing based on the input register values. Just what you want for keeping your constant-time crypto primitives constant-time. As far as I'm aware, no CPU has _yet_ implemented any data-dependent optimisations, so DIT is a safety precaution against them doing so in future. It would be embarrassing to be caught without it if a future CPU does do that, so we now turn on DIT in the PuTTY process state. I've put a call to the new enable_dit() function at the start of every main() and WinMain() belonging to a program that might do cryptography (even testcrypt, in case someone uses it for something!), and in case I missed one there, also added a second call at the first moment that any cryptography-using part of the code looks as if it might become active: when an instance of the SSH protocol object is configured, when the system PRNG is initialised, and when selecting any cryptographic authentication protocol in an HTTP or SOCKS proxy connection. With any luck those precautions between them should ensure it's on whenever we need it. Arm's own recommendation is that you should carefully choose the granularity at which you enable and disable DIT: there's a potential time cost to turning it on and off (I'm not sure what, but plausibly something of the order of a pipeline flush), so it's a performance hit to do it _inside_ each individual crypto function, but if CPUs start supporting significant data-dependent optimisation in future, then it will also become a noticeable performance hit to just leave it on across the whole process. So you'd like to do it somewhere in the middle: for example, you might turn on DIT once around the whole process of verifying and decrypting an SSH packet, instead of once for decryption and once for MAC. With all respect to that recommendation as a strategy for maximum performance, I'm not following it here. I turn on DIT at the start of the PuTTY process, and then leave it on. Rationale: 1. PuTTY is not otherwise a performance-critical application: it's not likely to max out your CPU for any purpose _other_ than cryptography. The most CPU-intensive non-cryptographic thing I can imagine a PuTTY process doing is the complicated computation of font rendering in the terminal, and that will normally be cached (you don't recompute each glyph from its outline and hints for every time you display it). 2. I think a bigger risk lies in accidental side channels from having DIT turned off when it should have been on. I can imagine lots of causes for that. Missing a crypto operation in some unswept corner of the code; confusing control flow (like my coroutine macros) jumping with DIT clear into the middle of a region of code that expected DIT to have been set at the beginning; having a reference counter of DIT requests and getting it out of sync. In a more sophisticated programming language, it might be possible to avoid the risk in #2 by cleverness with the type system. For example, in Rust, you could have a zero-sized type that acts as a proof token for DIT being enabled (it would be constructed by a function that also sets DIT, have a Drop implementation that clears DIT, and be !Send so you couldn't use it in a thread other than the one where DIT was set), and then you could require all the actual crypto functions to take a DitToken as an extra parameter, at zero runtime cost. Then "oops I forgot to set DIT around this piece of crypto" would become a compile error. Even so, you'd have to take some care with coroutine-structured code (what happens if a Rust async function yields while holding a DIT token?) and with nesting (if you have two DIT tokens, you don't want dropping the inner one to clear DIT while the outer one is still there to wrongly convince callees that it's set). Maybe in Rust you could get this all to work reliably. But not in C! DIT is an optional feature of the Arm architecture, so we must first test to see if it's supported. This is done the same way as we already do for the various Arm crypto accelerators: on ELF-based systems, check the appropriate bit in the 'hwcap' words in the ELF aux vector; on Mac, look for an appropriate sysctl flag. On Windows I don't know of a way to query the DIT feature, _or_ of a way to write the necessary enabling instruction in an MSVC-compatible way. I've _heard_ that it might not be necessary, because Windows might just turn on DIT unconditionally and leave it on, in an even more extreme version of my own strategy. I don't have a source for that - I heard it by word of mouth - but I _hope_ it's true, because that would suit me very well! Certainly I can't write code to enable DIT without knowing (a) how to do it, (b) how to know if it's safe. Nonetheless, I've put the enable_dit() call in all the right places in the Windows main programs as well as the Unix and cross-platform code, so that if I later find out that I _can_ put in an explicit enable of DIT in some way, I'll only have to arrange to set HAVE_ARM_DIT and compile the enable_dit() function appropriately.
2024-12-19 08:47:08 +00:00
enable_dit(); /* in case this is used as a crypto helper (Hyrum's Law) */
while (--argc > 0) {
char *p = *++argv;
if (p[0] == '-' && doing_opts) {
if (!strcmp(p, "-o")) {
if (--argc <= 0) {
fprintf(stderr, "'-o' expects a filename\n");
return 1;
}
outfile = *++argv;
} else if (!strcmp(p, "--")) {
doing_opts = false;
} else if (!strcmp(p, "--help")) {
printf("usage: testcrypt [INFILE] [-o OUTFILE]\n");
printf(" also: testcrypt --help display this text\n");
return 0;
} else {
fprintf(stderr, "unknown command line option '%s'\n", p);
return 1;
}
} else if (!infile) {
infile = p;
} else {
fprintf(stderr, "can only handle one input file name\n");
return 1;
}
}
FILE *infp = stdin;
if (infile) {
infp = fopen(infile, "r");
if (!infp) {
fprintf(stderr, "%s: open: %s\n", infile, strerror(errno));
return 1;
}
}
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
FILE *outfp = stdout;
if (outfile) {
outfp = fopen(outfile, "w");
if (!outfp) {
fprintf(stderr, "%s: open: %s\n", outfile, strerror(errno));
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return 1;
}
}
values = newtree234(valuecmp);
atexit(free_all_values);
for (char *line; (line = chomp(fgetline(infp))) != NULL ;) {
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
BinarySource src[1];
BinarySource_BARE_INIT(src, line, strlen(line));
strbuf *sb = strbuf_new();
process_line(src, sb);
run_finalisers(sb);
size_t lines = 0;
for (size_t i = 0; i < sb->len; i++)
if (sb->s[i] == '\n')
lines++;
fprintf(outfp, "%"SIZEu"\n%s", lines, sb->s);
fflush(outfp);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
strbuf_free(sb);
sfree(line);
}
if (infp != stdin)
fclose(infp);
if (outfp != stdin)
fclose(outfp);
New test system for mp_int and cryptography. I've written a new standalone test program which incorporates all of PuTTY's crypto code, including the mp_int and low-level elliptic curve layers but also going all the way up to the implementations of the MAC, hash, cipher, public key and kex abstractions. The test program itself, 'testcrypt', speaks a simple line-oriented protocol on standard I/O in which you write the name of a function call followed by some inputs, and it gives you back a list of outputs preceded by a line telling you how many there are. Dynamically allocated objects are assigned string ids in the protocol, and there's a 'free' function that tells testcrypt when it can dispose of one. It's possible to speak that protocol by hand, but cumbersome. I've also provided a Python module that wraps it, by running testcrypt as a persistent subprocess and gatewaying all the function calls into things that look reasonably natural to call from Python. The Python module and testcrypt.c both read a carefully formatted header file testcrypt.h which contains the name and signature of every exported function, so it costs minimal effort to expose a given function through this test API. In a few cases it's necessary to write a wrapper in testcrypt.c that makes the function look more friendly, but mostly you don't even need that. (Though that is one of the motivations between a lot of API cleanups I've done recently!) I considered doing Python integration in the more obvious way, by linking parts of the PuTTY code directly into a native-code .so Python module. I decided against it because this way is more flexible: I can run the testcrypt program on its own, or compile it in a way that Python wouldn't play nicely with (I bet compiling just that .so with Leak Sanitiser wouldn't do what you wanted when Python loaded it!), or attach a debugger to it. I can even recompile testcrypt for a different CPU architecture (32- vs 64-bit, or even running it on a different machine over ssh or under emulation) and still layer the nice API on top of that via the local Python interpreter. All I need is a bidirectional data channel.
2019-01-01 19:08:37 +00:00
return 0;
}