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Dataset · Hugging Face

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 / organizationRedAI4Code
License (as declared)mit
Downloads255 (as reported by Hugging Face)
Likes0
Created18 March 2026
Last updated at source24 September 2026
codesecurityred-teamingvulnerabilityadversarial
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