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GSA_kwCzR0hTQS1yY3Y5LXFtOHAtOXA2as4ABMC0

Moderate EPSS: 0.00072% (0.2239 Percentile) EPSS:

Hugging Face Transformers library has Regular Expression Denial of Service

Affected Packages Affected Versions Fixed Versions
pypi:transformers
PURL: pkg:pypi/transformers
< 4.53.0 4.53.0
2,589 Dependent packages
31,800 Dependent repositories
95,976,023 Downloads last month

Affected Version Ranges

All affected versions

2.0.0, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.8.0, 2.9.0, 2.9.1, 2.10.0, 2.11.0, 3.0.0, 3.0.1, 3.0.2, 3.1.0, 3.2.0, 3.3.0, 3.3.1, 3.4.0, 3.5.0, 3.5.1, 4.0.0, 4.0.0rc1, 4.0.1, 4.1.0, 4.1.1, 4.2.0, 4.2.1, 4.2.2, 4.3.0, 4.3.0rc1, 4.3.1, 4.3.2, 4.3.3, 4.4.0, 4.4.1, 4.4.2, 4.5.0, 4.5.1, 4.6.0, 4.6.1, 4.7.0, 4.8.0, 4.8.1, 4.8.2, 4.9.0, 4.9.1, 4.9.2, 4.10.0, 4.10.1, 4.10.2, 4.10.3, 4.11.0, 4.11.1, 4.11.2, 4.11.3, 4.12.0, 4.12.1, 4.12.2, 4.12.3, 4.12.4, 4.12.5, 4.13.0, 4.14.0, 4.14.1, 4.15.0, 4.16.0, 4.16.1, 4.16.2, 4.17.0, 4.18.0, 4.19.0, 4.19.1, 4.19.2, 4.19.3, 4.19.4, 4.20.0, 4.20.1, 4.21.0, 4.21.1, 4.21.2, 4.21.3, 4.22.0, 4.22.1, 4.22.2, 4.23.0, 4.23.1, 4.24.0, 4.25.0, 4.25.1, 4.26.0, 4.26.1, 4.27.0, 4.27.1, 4.27.2, 4.27.3, 4.27.4, 4.28.0, 4.28.1, 4.29.0, 4.29.1, 4.29.2, 4.30.0, 4.30.1, 4.30.2, 4.31.0, 4.32.0, 4.32.1, 4.33.0, 4.33.1, 4.33.2, 4.33.3, 4.34.0, 4.34.1, 4.35.0, 4.35.1, 4.35.2, 4.36.0, 4.36.1, 4.36.2, 4.37.0, 4.37.1, 4.37.2, 4.38.0, 4.38.1, 4.38.2, 4.39.0, 4.39.1, 4.39.2, 4.39.3, 4.40.0, 4.40.1, 4.40.2, 4.41.0, 4.41.1, 4.41.2, 4.42.0, 4.42.1, 4.42.2, 4.42.3, 4.42.4, 4.43.0, 4.43.1, 4.43.2, 4.43.3, 4.43.4, 4.44.0, 4.44.1, 4.44.2, 4.45.0, 4.45.1, 4.45.2, 4.46.0, 4.46.1, 4.46.2, 4.46.3, 4.47.0, 4.47.1, 4.48.0, 4.48.1, 4.48.2, 4.48.3, 4.49.0, 4.50.0, 4.50.1, 4.50.2, 4.50.3, 4.51.0, 4.51.1, 4.51.2, 4.51.3, 4.52.0, 4.52.1, 4.52.2, 4.52.3, 4.52.4

All unaffected versions

4.53.0, 4.53.1, 4.53.2, 4.53.3, 4.54.0, 4.54.1, 4.55.0, 4.55.1, 4.55.2, 4.55.3, 4.55.4, 4.56.0, 4.56.1, 4.56.2, 4.57.0, 4.57.1

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: