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.
References
Configurations
No configuration.
History
06 Aug 2025, 13:15
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Summary |
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06 Aug 2025, 12:15
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New CVE |
Information
Published : 2025-08-06 12:15
Updated : 2025-08-06 20:23
NVD link : CVE-2025-5197
Mitre link : CVE-2025-5197
CVE.ORG link : CVE-2025-5197
JSON object : View
Products Affected
No product.
CWE
CWE-1333
Inefficient Regular Expression Complexity