FuzzingBrain V2, a multi-agent LLM system with a novel Suspicious Point abstraction and dual-layer fuzzing, reports 90% detection on a C/C++ benchmark and 29 confirmed zero-day vulnerabilities in real open-source projects.
Vulnerability detec- tion with code language models: How far are we? In Proceedings of the 46th IEEE/ACM International Con- ference on Software Engineering (ICSE)
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FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
FuzzingBrain V2, a multi-agent LLM system with a novel Suspicious Point abstraction and dual-layer fuzzing, reports 90% detection on a C/C++ benchmark and 29 confirmed zero-day vulnerabilities in real open-source projects.