PYSEC-2026-1988

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/transformers/PYSEC-2026-1988.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2026-1988
Aliases
Published
2026-07-07T16:03:05.052410Z
Modified
2026-07-07T17:48:14.970960025Z
Severity
  • 5.3 (Medium) CVSS_V3 - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L CVSS Calculator
Summary
Hugging Face Transformers library has Regular Expression Denial of Service
Details

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

Affected packages

PyPI / transformers

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
4.53.0

Affected versions

0.*
0.1
2.*
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.*
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.*
4.0.0rc1
4.0.0
4.0.1
4.1.0
4.1.1
4.2.0
4.2.1
4.2.2
4.3.0rc1
4.3.0
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

Database specific

source
"https://github.com/pypa/advisory-database/blob/main/vulns/transformers/PYSEC-2026-1988.yaml"