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8df6aa0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # Responsible Disclosure & Vulnerability Handling
AppSecBench is a benchmark of *known, catalogued* weakness classes. It does not contain
zero-days or undisclosed vulnerabilities. The guidance below applies to the project itself and to
researchers who build on the dataset.
## Reporting a problem with the dataset
If you find that a record is incorrect, mislabeled, or inadvertently reproduces copyrighted or
sensitive material, please disclose privately:
1. Open a private security advisory on the Hugging Face dataset repository, **or**
2. Email the maintainer (see `SECURITY.md`) with the `benchmark_id`(s) and the issue.
We aim to triage within 7 days and will correct or remove affected records in a patch release
(e.g. v1.0.1) with a CHANGELOG note.
## Using AppSecBench for disclosure research
- The benchmark is suitable for *evaluating* detection/remediation tools. It is **not** a list of
live targets.
- If your research surfaces a previously unknown vulnerability class or a flaw in a referenced
third-party library, follow that project's own coordinated disclosure process. Do not publish
working exploits for unpatched software without prior coordination.
- When you publish results that rely on AppSecBench, include the version (`v1.0.0`) and the
dataset commit hash so findings are reproducible.
## Scope boundary
AppSecBench covers application/AI/infra security weaknesses at the *code and configuration* level.
It is out of scope for: network exploitation tooling, malware, denial-of-service campaigns against
third parties, and any activity prohibited by law or by the target's authorization.
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