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generate proof-of-concept tests

Generate proof-of-concept tests to automatically validate software vulnerabilities and verify security patches using containerized agent environments.

Evaluating AI agents on real-world security tasks requires robust, reproducible environments. We use CyberGym, a specialized benchmark containing 1,507 historical vulnerabilities across 188 software projects, to test whether agents can successfully generate proof-of-concept tests from vulnerability descriptions and pre-patch codebases. This setup forces agents to reason across entire repositories, locate the exact bug, and produce working reproduction scripts. By automating the generation of these proof-of-concept tests, security teams can rapidly verify whether a system is vulnerable or confirm that a newly applied patch successfully mitigates the threat.

https://github.com/posttrain-arena/posttrain-arena

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AGENTS 1 shared project AI agent 1 shared project Code 1 shared project Codex 1 shared project PHP 1 shared project Proof of Concept 1 shared project

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test 1 shared project trace risky execution paths 1 shared project validate findings 1 shared project WordPress 1 shared project

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AI-Assisted WordPress Vulnerability Hunting: From Plugin Code to Verified Findings

Dallas Fort Worth · June 4, 2026

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AI-Assisted WordPress Vulnerability Hunting: From Plugin Code to Veri…

Dallas Fort Worth Jun 4