AI attackers hide working exploits in real code that agentic reviewers often miss

CyberDual pits six attacking agents against three deployed code-review agents, judged by whether the exploit still runs after review, and finds open-weight GLM 5.3 is the hardest to stop.

Academic
Chenyuan Yang · Hwiwon Lee · Jongseong Kim · Yihan Yang · Dongjun Kim · Yinfang Chen · +1 more

University of Illinois Urbana-Champaign · Arizona State University

Research Digest··3 min read
Illustration: AI attackers hide working exploits in real code that agentic reviewers often miss
The authors introduce CyberDual, an arena where AI attacker agents plant exploitable bugs in real maintenance commits to 14 open-source C/C++ libraries and AI reviewer agents try to find and repair them.

They built CyberDual.

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