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arXiv · 2603.08566

OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security

Andrew Chin·Dongkwan Kim·Yu-Fu Fu·Fabian Fleischer·Youngjoon Kim·HyungSeok Han·Cen Zhang·Brian Junekyu Lee·Hanqing Zhao·Taesoo Kim
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Abstract

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-Fuzz projects. OSS-CRS is publicly available.

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Andrew Chin, Dongkwan Kim, Yu-Fu Fu, Fabian Fleischer, Youngjoon Kim, HyungSeok Han, Cen Zhang, Brian Junekyu Lee, Hanqing Zhao, Taesoo Kim. 2026-03-09. OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security. https://arxiv.org/abs/2603.08566

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