AI and data stack advisories

Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TransformersGHSA-9356-575x-2w9m

Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

Transformers

CVE-2025-5197 · Published Aug 6, 2025 · updated Sep 10, 2026

Medium5.3
Fix: upgrade to 4.53.0 or later
GitHub advisory

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 versions

PackageAffectedFixed in
transformers
PyPI
< 4.53.04.53.0
Details and references

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