CVE-2025-5197

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.
Configurations

Configuration 1 (hide)

cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2025-08-06 12:15

Updated : 2025-10-21 16:46


NVD link : CVE-2025-5197

Mitre link : CVE-2025-5197

CVE.ORG link : CVE-2025-5197


JSON object : View

Products Affected

huggingface

  • transformers
CWE
CWE-1333

Inefficient Regular Expression Complexity