Skip to content
OpenAdvisories
Medium · 5.3 CVE-2025-5197 EUVD-2025-23827GHSA-9356-575x-2w9mPYSEC-2026-1983

Regular Expression Denial of Service (ReDoS) in huggingface/transformers

Published Aug 6, 2025 · Updated Aug 6, 2025 · Assigned by @huntr_ai

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.

Affected products

VendorProductAffectedFixed
huggingface huggingface/transformers unspecified – < 4.53.0 4.53.0

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI transformers < 4.53.0 4.53.0 GHSA-9356-575x-2w9m

References