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Testing security patches by using AI agents to generate new inputs that attempt to bypass the fix.
Distinct from Adversarial Attacks: Distinct from generic adversarial attacks as it specifically validates security patches via automated re-attack loops.
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This project is a framework for the autonomous discovery and remediation of security vulnerabilities using large language model agents. It functions as a security research pipeline that automates the process of reconnaissance, crash discovery, and exploitability analysis to identify reproducible software bugs. The system distinguishes itself by utilizing a containerized agent sandbox that restricts network egress and filesystem access to prevent host compromise. It employs a specialized patch generation and validation loop, which includes adversarial re-attack testing where a fresh agent atte
Validates security patches by deploying a fresh agent to attempt to bypass the fix with new inputs.