RedAI4Code/SEVRA
SEVRA-BENCH: Social Engineering of Vulnerabilities in Review Agents A benchmark dataset for evaluating automated code review agents against adversarial pull requests. The dataset contains 2,250 malicious PRs (current release: deterministic) and 347 benign ground-truth security fixes, grounded in real vulnerabilities from the OSV/SECommits database, across 10 CWE classes from the 2025 CWE Top 25. Motivation Modern AI coding assistants can generate plausible-looking… See the full description on the dataset page: https://huggingface.co/datasets/RedAI4Code/SEVRA.
| Author / organization | RedAI4Code |
|---|---|
| License (as declared) | mit |
| Downloads | 255 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 March 2026 |
| Last updated at source | 24 September 2026 |
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