[2608.00965] An AI Approach to Verified Production Cryptographic Libraries

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Computer Science > Cryptography and Security

arXiv:2608.00965 (cs)

[Submitted on 2 Aug 2026]

Title:An AI Approach to Verified Production Cryptographic Libraries

Authors:Chuyue Sun, Su Fong, Zhiyi Kuang, Yizheng Jiao, Nina Narodytska, Haoze Wu, David L. Dill, Clark Barrett<br>View a PDF of the paper titled An AI Approach to Verified Production Cryptographic Libraries, by Chuyue Sun and 7 other authors

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Abstract:Cryptographic code is critical infrastructure that must be correct, yet formally verifying production libraries remains difficult. Existing language-model proof systems solve isolated obligations with specifications and premises already given, leaving production-library verification unresolved.

We present CryptoProver, an AI-based system that synthesizes internal specifications and Verus-checked proofs from high-level API contracts. Without changing executable code, CryptoProver constructs a new independent proof of curve25519-dalek and verifies RustCrypto's previously unverified chacha20 implementation against an RFC 8439 specification. These cryptographic lineages underpin deployed systems including Signal and Shadowsocks; Signal has an estimated 218M global downloads. The independent, human-led curve25519-dalek verification was developed publicly over eight months by five main contributors. Given the API contracts and a fixed trusted library of field specifications, arithmetic facts, axioms, and vstd, CryptoProver synthesizes the internal specifications and proofs in 11.4 hours with USD 466.99 in recorded API cost. CryptoProver follows a trust-first design principle: mechanical gates reject specification weakening, invented axioms, and cross-module breakage, while isolation blocks reference proof retrieval, including from git history.

Subjects:

Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)

Cite as:<br>arXiv:2608.00965 [cs.CR]

(or<br>arXiv:2608.00965v1 [cs.CR] for this version)

https://doi.org/10.48550/arXiv.2608.00965

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arXiv-issued DOI via DataCite

Submission history<br>From: Chuyue Sun [view email]<br>[v1]<br>Sun, 2 Aug 2026 03:32:08 UTC (146 KB)

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