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Rainbow: Fix out out-of-bounds memset |
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.github | ||
common | ||
crypto_kem | ||
crypto_sign | ||
test | ||
.astylerc | ||
.clang-tidy | ||
.gitattributes | ||
.gitignore | ||
.gitmodules | ||
.mergify.yml | ||
.travis.yml | ||
CONTRIBUTING.md | ||
README.md | ||
requirements.txt | ||
SECURITY.md |
PQClean
See the build status for each component here
PQClean, in short, is an effort to collect clean implementations of the post-quantum schemes that are in the NIST post-quantum project. The goal of PQClean is to provide standalone implementations that
- can easily be integrated into libraries such as liboqs.
- can efficiently upstream into higher-level protocol integration efforts such as Open Quantum Safe;
- can easily be integrated into benchmarking frameworks such as SUPERCOP;
- can easily be integrated into frameworks targeting embedded platforms such as pqm4;
- are suitable starting points for architecture-specific optimized implementations;
- are suitable starting points for evaluation of implementation security; and
- are suitable targets for formal verification.
What PQClean is not aiming for is
- a build system producing an integrated library of all schemes;
- including benchmarking of implementations; and
- including integration into higher-level applications or protocols.
As a first main target, we are collecting C implementations that fulfill the requirements listed below. We also accept optimised implementations, but still requiring high-quality, tested code.
Please also review our guidelines for contributors if you are interested in adding a scheme to PQClean.
Requirements on C implementations that are automatically checked
The checking of items on this list is still being developed. Checked items should be working.
- Code is valid C99
- Passes functional tests
- API functions do not write outside provided buffers
api.h
cannot include external files- Compiles with
-Wall -Wextra -Wpedantic -Werror -Wmissing-prototypes
withgcc
andclang
#if
/#ifdef
s only for header encapsulation- Consistent test vectors across runs
- Consistent test vectors on big-endian and little-endian machines
- Consistent test vectors on 32-bit and 64-bit machines
const
arguments are labeled asconst
- No errors/warnings reported by valgrind
- No errors/warnings reported by address sanitizer
- Only dependencies:
fips202.c
,sha2.c
,aes.c
,randombytes.c
- API functions return
0
on success - No dynamic memory allocations (including variable-length arrays)
- No branching on secret data (dynamically checked using valgrind)
- No access to secret memory locations (dynamically checked using valgrind)
- Separate subdirectories (without symlinks) for each parameter set of each scheme
- Builds under Linux, MacOS, and Windows
- Linux
- MacOS
- Windows
- Makefile-based build for each separate scheme
- Makefile-based build for Windows (
nmake
) - All exported symbols are namespaced with
PQCLEAN_SCHEMENAME_
- Each implementation comes with a
LICENSE
file (see below) - Each scheme comes with a
META.yml
file giving details about version of the algorithm, designers- Each individual implementation is specified in
META.yml
.
- Each individual implementation is specified in
Requirements on C implementations that are manually checked
- Minimalist Makefiles
- No stringification macros
- Output-parameter pointers in functions are on the left
- All exported symbols are namespaced in place
- Integer types are of fixed size where relevant, using
stdint.h
types (optional, recommended) - Integers used for indexing memory are of size
size_t
(optional, recommended) - Variable declarations at the beginning (except in
for (size_t i=...
) (optional, recommended)
Schemes currently in PQClean
For the following schemes we have implementations of one or more of their parameter sets. For all of these schemes we have clean C code, but for some we also have optimised code.
Key Encapsulation Mechanisms
Finalists:
- Classic McEliece
- Kyber
- NTRU
- SABER
Alternate candidates:
- FrodoKEM
- HQC
Signature schemes
Finalists:
- Dilithium
- Falcon
- Rainbow
Alternate candidates:
- SPHINCS+
Implementations previously available in PQClean and dropped in Round 3 of the NIST standardization effort are available in the round2
tag.
API used by PQClean
PQClean is essentially using the same API as required for the NIST reference implementations, which is also used by SUPERCOP and by libpqcrypto. The only differences to that API are the following:
- All functions are namespaced;
- All lengths are passed as type
size_t
instead ofunsigned long long
; and - Signatures offer two additional functions that follow the "traditional" approach used in most software stacks of computing and verifying signatures instead of producing and recovering signed messages. Specifically, those functions have the following name and signature:
int PQCLEAN_SCHEME_IMPL_crypto_sign_signature(
uint8_t *sig, size_t *siglen,
const uint8_t *m, size_t mlen,
const uint8_t *sk);
int PQCLEAN_SCHEME_IMPL_crypto_sign_verify(
const uint8_t *sig, size_t siglen,
const uint8_t *m, size_t mlen,
const uint8_t *pk);
Building PQClean
As noted above, PQClean is not meant to be built as a single library: it is a collection of source code that can be easily integrated into other libraries. The PQClean repository includes various test programs which do build various files, but you should not use the resulting binaries.
List of required dependencies: gcc or clang, make, python3, python-yaml library, valgrind, astyle (>= 3.0)
.
Using source code from PQClean in your own project
Each implementation directory in PQClean (e.g., crypto_kem/kyber768\clean) can be extracted for use in your own project. You will need to:
- Copy the source code from the implementation's directory into your project.
- Add the files to your project's build system.
- Provide instantiations of any of the common cryptographic algorithms used by the implementation. This likely includes
common/randombytes.h
(a cryptographic random number generator), and possiblycommon/sha2.h
(the SHA-2 hash function family),common/aes.h
(AES implementations),common/fips202.h
(the SHA-3 hash function family) andcommon/sp800-185.h
(the cSHAKE family).
Regarding #2, adding the files to your project's build system, each implementation in PQClean is accompanied by example two makefiles that show how one could build the files for that implementation:
- The file
Makefile
which can be used with GNU Make, BSD Make, and possibly others. - The file
Makefile.Microsoft_nmake
which can be used with Visual Studio's nmake.
Projects integrating PQClean-distributed source code
The following projects consume implementations from PQClean and provide their own wrappers around the implementations. Their integration strategies may serve as examples for your own projects.
- pqcrypto crate: Rust integration that automatically generates wrappers from PQClean source code.
- mupq: Runs the implementations from PQClean as reference implementations to compare with microcontroller-optimized code.
- Open Quantum Safe: The Open Quantum Safe project integrates implementations from PQClean into their liboqs C library, which then exposes them via C++, C# / .NET, and Python wrappers, as well as to forks of OpenSSL and OpenSSH.
License
Each subdirectory containing implementations contains a LICENSE
file stating under what license that specific implementation is released.
The files in common
contain licensing information at the top of the file (and are currently either public domain or MIT).
All other code in this repository is released under the conditions of CC0.
Running tests locally
See https://github.com/PQClean/PQClean/wiki/Test-framework for details about the PQClean test framework.
While we run extensive automatic testing on Github Actions ((emulated) Linux builds, MacOS and Windows builds) and Travis CI (Aarch64 builds), and most tests can also be run locally. To do this, make sure the following is installed:
- Python 3.6+
pytest
for python 3.
We also recommend installing pytest-xdist
to allow running tests in parallel.
You will also need to make sure the submodules are initialized by running:
git submodule update --init
Run the Python-based tests by going into the test
directory and running pytest -v
or (recommended) pytest -n=auto
for parallel testing.
You may also run python3 <testmodule>
where <testmodule>
is any of the files starting with test_
in the test/
folder.