CVE-2025-5197

MEDIUM

Huggingface Transformers < 4.53.0 - Denial of Service

Title source: rule
STIX 2.1

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.

Scores

CVSS v3 5.3
EPSS 0.0004
EPSS Percentile 11.9%
Attack Vector NETWORK
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CISA SSVC

Vulnrichment
Exploitation poc
Automatable yes
Technical Impact partial

Details

CWE
CWE-1333
Status published
Products (2)
huggingface/transformers < 4.53.0
pypi/transformers 0 - 4.53.0PyPI
Published Aug 06, 2025
Tracked Since Feb 18, 2026