PYSEC-2026-1983

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/transformers/PYSEC-2026-1983.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2026-1983
Aliases
Published
2026-07-07T16:03:00.318313Z
Modified
2026-07-07T17:48:14.063256721Z
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 Regular Expression Denial of Service (ReDoS) vulnerability
Details

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the convert_tf_weight_name_to_pt_weight_name() function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern /[^/]*___([^/]*)/ that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

References

Affected packages

PyPI / transformers

Package

Name
transformers
View open source insights on deps.dev
Purl
pkg:pypi/transformers

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-2026-1983.yaml"