anthropics / anthropics/defending-code-reference-harness

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Dominant language
Python
Stars
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Forks
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Description

Agentic security review for Rust. An autonomous recon → find → grade → find→fuzz → report → patch loop for the bugs that actually bite Rust: memory-safety in unsafe/FFI, panic-DoS from untrusted input, deserialization trust (an integrity check is not a bounds check), and Send/Sync + panic-safety soundness. Static analysis drives the dynamic stage — the threat model routes which sanitizer, fuzz rung, and vote budget each finding gets. Detectors: Miri (undefined behavior), AddressSanitizer, panic/abort, hang-timeout, and cargo-fuzz for execution-verified reproduction.

https://github.com/scadastrangelove/rust-in-peace

Contributor guide

No contributing guide indexed for this repository

Research direction

No repository files or tests are named; start by reading the Python scanning harness and the linked rust-in-peace project to locate the language-integration entry points. Define how the recon, finding, grading, fuzzing, reporting, and patching stages support Rust, including Miri, AddressSanitizer, panic/abort, hang-timeout, and cargo-fuzz; done means the loop can produce execution-verified Rust findings.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, rust
Domain
devtools, security
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
30/100

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