CVE-2025-5197
August 06, 2025
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
transformers (CONDA):
Affected version(s) >=2.1.1 <4.53.0Fix Suggestion:
Update to version 4.53.0https://github.com/huggingface/transformers.git (GITHUB):
Affected version(s) >=v0.1.2 <v4.53.0Fix Suggestion:
Update to version v4.53.0transformers (PYTHON):
Affected version(s) >=0.1 <4.53.0Fix Suggestion:
Update to version 4.53.0Related Resources (5)
Do you need more information?
Contact UsCVSS v4
Base Score:
6.9
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
5.3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
Weakness Type (CWE)
Inefficient Regular Expression Complexity
EPSS
Base Score:
0.1