Unauthorized Code Execution Bench
A coding agent meets injected instructions to run or fetch malicious artifacts while doing a benign task. Reports attack success rate.
In-house Meta benchmark of 76 tasks over 40 malicious objectives.
- 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.
Muse Spark 1.3 leads with 21.1%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1
Muse Spark 1.3 21.1%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 21.1% | Oct 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 23 Oct 2026 | | 21.1 | Unauthorized Code Execution Bench ASR, Muse Spark 1.3 (API) (Figure 27, caption says pass@3, axis says pass@1) | Robustness |
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