CVE-2025-5197 – transformers

Package

Manager: pip
Name: transformers
Vulnerable Version: >=0 <4.53.0

Severity

Level: Medium

CVSS v3.1: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

EPSS: 0.0006 pctl0.18974

Details

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

Metadata

Created: 2025-08-06T12:31:20Z
Modified: 2025-08-06T18:15:19Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2025/08/GHSA-9356-575x-2w9m/GHSA-9356-575x-2w9m.json
CWE IDs: ["CWE-1333"]
Alternative ID: GHSA-9356-575x-2w9m
Finding: F211
Auto approve: 1