Benchmark Almanac

VulnGym

Not in model cards

White-box agents hunt vulnerabilities in real repositories at vulnerable commits, including business-logic bugs that need cross-module reasoning. Each sample has a human-reviewed entry point and trace.

408 entries from 184 advisories, all human-audited by v0.1.5 (2026-10-08). About 360 GitHub stars.

Made by Tencent Released Apr 2026 Finding and exploiting real bugs All tasks public
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for VulnGym yet.

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

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