Inefficient Regular Expression Complexity Affecting text-generation-inference package, versions <3.3.6-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsSnyk Learn
Learn about Inefficient Regular Expression Complexity vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-CHAINGUARDLATEST-TEXTGENERATIONINFERENCE-13600372
- published17 Oct 2025
- disclosed14 Sept 2025
Introduced: 14 Sep 2025
CVE-2025-6051 (opens in a new tab)How to fix?
Upgrade Chainguard text-generation-inference to version 3.3.6-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream text-generation-inference package and not the text-generation-inference package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
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.