Vulnerability in Huggingface Huggingface/transformers
CVE-2025-6051
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.
Vulnerability class: ReDoS (Regular Expression Denial of Service)
EPSS: 0.004 (31.2th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.3 (Medium). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Huggingface Huggingface/transformers — versions unspecified
- Huggingface Transformers — versions 4.52.4
Weakness classification (CWE)
References
- security@huntr.dev (Exploit, Patch, Third Party Advisory, Issue Tracking)
- security@huntr.dev (Patch)
Frequently asked questions
- What is CVE-2025-6051?
- CVE-2025-6051 is a medium-severity vulnerability in Huggingface Huggingface/transformers, classified under Inefficient Regular Expression Complexity. CVSS score: 5.3/10. Published 2025-09-14.
- How severe is CVE-2025-6051?
- Medium severity. CVSS v3 base score is 5.3 out of 10.