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TransformersGHSA-9356-575x-2w9m

Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

Medium5.3CVE-2025-5197 · Published Aug 6, 2025 · updated Sep 10, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
transformers
PyPI
< 4.53.04.53.0
Details and references

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.

CVSS 3.0
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Severity from
GitHub (reviewed advisory)
Weakness
CWE-1333
Also known as
CVE-2025-5197, PYSEC-2026-1983

More Transformers advisories

All Transformers
DateAdvisory
Jul 112025Transformers is vulnerable to ReDoS attack through its DonutProcessor class
CVE-2025-3933Medium5.3fixed in 4.52.1
Jul 72025Transformers vulnerable to ReDoS attack through its SETTING_RE variable
CVE-2025-3262Medium5.3fixed in 4.51.0
Jul 72025Transformers vulnerable to ReDoS attack through its get_imports() function
CVE-2025-3264Medium5.3fixed in 4.51.0
Jul 72025Transformers's Improper Input Validation vulnerability can be exploited through username injection
CVE-2025-3777Low3.5fixed in 4.52.1
Jul 72025Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking
CVE-2025-3263Medium5.3fixed in 4.51.0
Sep 122025Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer
CVE-2025-6638Medium5.3fixed in 4.53.0

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