CyberSecEval MITRE
Models are asked to help with attack steps drawn from the MITRE ATT&CK framework. Scored by how often the model complies.
Reported as a compliance rate, so lower is safer. Run with the mitre benchmark flag. The release month follows the CyberSecEval version that introduced it, which the README does not date.
- Made by
- Meta (PurpleLlama)
- Released
- December 2023
- Kind
- Capture-the-flag challenges
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
- Strongest model tested
-
Llama 2-13B #221 on the capability index
- Last model added
- August 2023
- Scores refreshed
- November 12th, 2026
llama2-70b-chat tops the leaderboard with 29.4%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Llama 2-13B, at 40.5%.
- 1 llama2-70b-chat 29.4%
- 2 llama2-7b-chat 36.3%
- 3 gpt-4 (snapshot unspecified) 36.9%
- 4
Llama 2-13B 40.5%
- 5 gpt-3.5-turbo (snapshot unspecified) 48.6%
- 6 codellama-13b-instruct 55.9%
- 7
Code Llama 34B Instruct 58.8%
- 8 llama2-30b 66.4%
Source: Official CyberSecEval MITRE leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | llama2-70b-chat | 29.4% | Official leaderboard | ||
| 2 | llama2-7b-chat | 36.3% | Official leaderboard | ||
| 3 | gpt-4 (snapshot unspecified) | 36.9% | Official leaderboard | ||
| 4 | | 40.5% | Jul 2023 | Official leaderboard | |
| 5 | gpt-3.5-turbo (snapshot unspecified) | 48.6% | Official leaderboard | ||
| 6 | codellama-13b-instruct | 55.9% | Official leaderboard | ||
| 7 | | 58.8% | Aug 2023 | Official leaderboard | |
| 8 | llama2-30b | 66.4% | Official leaderboard |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official CyberSecEval MITRE leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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