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HACL*

swMATH ID: 36852
Software Authors: Jean Karim Zinzindohoué, Karthikeyan Bhargavan, Jonathan Protzenko, Benjamin Beurdouche
Description: HACL*: A Verified Modern Cryptographic Library. HACL* is a verified portable C cryptographic library that implements modern cryptographic primitives such as the ChaCha20 and Salsa20 encryption algorithms, Poly1305 and HMAC message authentication, SHA-256 and SHA-512 hash functions, the Curve25519 elliptic curve, and Ed25519 signatures. HACL* is written in the F* programming language and then compiled to readable C code. The F* source code for each cryptographic primitive is verified for memory safety, mitigations against timing side-channels, and functional correctness with respect to a succinct high-level specification of the primitive derived from its published standard. The translation from F* to C preserves these properties and the generated C code can itself be compiled via the CompCert verified C compiler or mainstream compilers like GCC or CLANG. When compiled with GCC on 64-bit platforms, our primitives are as fast as the fastest pure C implementations in OpenSSL and libsodium, significantly faster than the reference C code in TweetNaCl, and between 1.1x-5.7x slower than the fastest hand-optimized vectorized assembly code in SUPERCOP. HACL* implements the NaCl cryptographic API and can be used as a drop-in replacement for NaCl libraries like libsodium and TweetNaCl. HACL* provides the cryptographic components for a new mandatory ciphersuite in TLS 1.3 and is being developed as the main cryptographic provider for the miTLS verified implementation. Primitives from HACL* are also being integrated within Mozilla’s NSS cryptographic library. Our results show that writing fast, verified, and usable C cryptographic libraries is now practical.
Homepage: https://dl.acm.org/doi/abs/10.1145/3133956.3134043
Source Code:  https://github.com/project-everest/hacl-star
Related Software: Why3; Jasmin; Toolchain; WhyMP; GitHub; Coq; gmp; WhyML; Isabelle/HOL; KeccakTools; PHP; XKCP; Python; Keccak; TensorFlow; Boogie; ABC; CBMC; Strymonas; GRASShopper
Cited in: 12 Documents

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