medium6.5
CVE-2026-66007
Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is…
Impact
Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is not properly validated before being joined to the dataset directory. Attackers can supply crafted file_name values with directory traversal sequences to read arbitrary local files, which are then embedded into output when save_to_disk or push_to_hub is called.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | datasets | < 5.0.1 | 5.0.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Huggingface | Datasets | through 5.0.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-379c-qx7v-6h59
- https://nvd.nist.gov/vuln/detail/CVE-2026-66007
- https://github.com/huggingface/datasets/issues/8324
- https://github.com/huggingface/datasets/pull/8325
- https://github.com/huggingface/datasets/commit/f989ef9b4cc6c0039a7a82458eebca49e2b58b4b
- https://www.vulncheck.com/advisories/datasets-path-traversal-via-unsanitized-file-name-metadata
- https://github.com/pypa/advisory-database/tree/main/vulns/datasets/PYSEC-2026-3716.yaml