OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security
DARPA's AI Cyber Challenge (AIxCC) showed that cyber reasoning systems (CRSs) can go beyond vulnerability discovery to autonomously confirm and patch bugs: seven teams built such systems and open-sourced them after the competition. Yet all seven open-sourced CRSs remain largely unusable outside their original teams, each bound to the competition cloud infrastructure that no longer exists. We present OSS-CRS, an open, locally deployable framework for running and combining CRS techniques against real-world open-source projects, with budget-aware resource management. We ported the first-place system (Atlantis) and discovered 10 previously unknown bugs (three of high severity) across 8 OSS-Fu...
| Authors | Andrew Chin, Dongkwan Kim, Yu-Fu Fu et al. |
|---|---|
| Primary category | cs.CR |
| Published | 9 March 2026 |
| Last updated at source | 25 March 2026 |
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