This article is a methodology writeup from Trail of Bits describing how they leverage OpenAI Codex's '/goal' autonomous agent feature within the 'Patch the Planet' initiative to conduct large-scale vulnerability research and variant analysis against major open-source projects (Rust, curl, zlib, Keycloak, kubernetes-client). It details prompt-engineering lessons learned (letting the model draft its own goal, defining outcomes precisely without prescribing method, and assigning one outcome per agent) and describes an automated Rust P-critical variant-analysis pipeline with a two-pass validation gate before human review. No specific exploit details, IOCs, or CVE numbers for the discovered bugs are disclosed in this post.
Variant Analysis
1 post
How we use /goal to find bugs in Patch the Planet