GHSA-9356-575x-2w9m
Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability
At a glance
- Published
- Updated
- CVE
- CVE-2025-5197
- Aliases
- PYSEC-2026-1983
- CVSS_V3
- CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Description
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.
Affected packages
| Package | Versions |
|---|---|
| PyPI · transformers | introduced 0, fixed 4.53.0 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-5197 ADVISORY
- https://github.com/huggingface/transformers/commit/701caef704e356dc2f9331cc3fd5df0eccb4720a WEB
- https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b WEB
- https://github.com/huggingface/transformers PACKAGE
- https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf WEB
Sources
| Source | Licence |
|---|---|
| OSV.dev | CC-BY 4.0 — GitHub Advisory Database |