CVE-2025-5197

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.

Reserved 2025-05-26 | Published 2025-08-06 | Updated 2025-08-06 | Assigner @huntr_ai

Problem types

CWE-1333 Inefficient Regular Expression Complexity

Product status

Any version before 4.53.0
affected

References

huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf

github.com/...ommit/944b56000be5e9b61af8301aa340838770ad8a0b

cve.org (CVE-2025-5197)

nvd.nist.gov (CVE-2025-5197)

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