CVEvulnerability
CVE-2025-5197
5.3 MEDIUM
Official page ↗
- Status
- Analyzed
- Published
- 2025-08-06
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.0 ([email protected])
- 5.3 MEDIUM — CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
- Weaknesses
- CWE-1333
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 configurations
• huggingface transformers (< 4.53.0)
Related
Weakness · CWE (1)
- CWE-1333 Inefficient Regular Expression Complexity weakness
References
- https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b Patch
- https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf Exploit, Issue Tracking, Patch, Third Party Advisory
- https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf Exploit, Issue Tracking, Patch, Third Party Advisory