AI agent vulnerability · Transformers

CVE-2025-6051: Hugging Face Transformers library has Regular Expression Denial of Service

mediumCVSS 3.0 5.3GHSA-rcv9-qm8p-9p6j

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalizenumbers() method of the EnglishNormalizer class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0.

Published Sep 14, 2025 · Updated Sep 15, 2025

Affected packages

transformers

Ecosystem: PyPI
Affected: < 4.53.0
Fixed in: 4.53.0
Check: pip show transformers

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalize_numbers() method of the EnglishNormalizer class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

More Transformers vulnerabilities

All Transformers entries