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.

How to fix CVE-2025-5197

To remediate CVE-2025-5197, upgrade the affected package to a fixed version below.

• —upgrade to 4.53.0 or later

Is CVE-2025-5197 being exploited?

Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.

Affected packages (1)

• from 0, < 4.53.0

CVSS scores

References (5)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2025-5197
• PATCHgithub.com/huggingface/transformers
• WEBgithub.com/huggingface/transformers/commit/701caef704e356dc2f9331cc3fd5df0eccb4720a
• WEBgithub.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b