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sunblaze-ucb/exploitgym

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ExploitGym is a large-scale, realistic benchmark built from real-world vulnerabilities designed to evaluate AI agents' ability to develop exploits.

5 mentions on Hacker News by 5 people: 1 story, 4 comments · first 2026-07-23 · latest 2026-07-29

Mentions per year 5 mentions · busiest year 2026 (5)
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  1. …file path "/secret", another prompt [2] talks about finding flags and where to write them out. [1]: https://github.com/sunblaze-ucb/exploitgym/blob/main/src/cyb... [2]: https://github.com/sunblaze-ucb/exploitgym/blob/main/src/cyb...
  2. ▲ 1
    ExploitGym AI benchmark source code
    story by joshka · 2026-07-29 · 0 comments
  3. Interestingly if you look at the exploitgym repo ( https://github.com/sunblaze-ucb/exploitgym/blob/e5ea7c233a4d... ) the intended run mechanism is orchestrated by some python scripts which run agents against various prompts. The prompts…
  4. 1. The benchmark is run with a python script - https://github.com/sunblaze-ucb/exploitgym using an agent harness. I suspect they used codex. So the model has access to the environment and could trivially inspect its own source code, which…
  5. …standpoint rather than misalignment (which many seem hung up on). [1] https://chatgpt.com/cyber [2] https://github.com/sunblaze-ucb/exploitgym [3] https://openai.com/index/hugging-face-model-evaluation-secur...