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TransformersGHSA-fpwr-67px-3qhx

Transformers Regular Expression Denial of Service (ReDoS) vulnerability

Medium4.3CVE-2025-1194 · Published Apr 29, 2025 · updated Aug 13, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
transformers
PyPI
< 4.50.04.50.0
Details and references

A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_neox_japanese.py` of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions process specially crafted inputs. The issue stems from a regex exhibiting exponential complexity under certain conditions, leading to excessive backtracking. This can result in high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.48.1 (latest).

CVSS 3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
Severity from
GitHub (reviewed advisory)
Weakness
CWE-1333
Also known as
CVE-2025-1194, PYSEC-2026-1984

More Transformers advisories

All Transformers
DateAdvisory
May 192025Hugging Face Transformers Regular Expression Denial of Service
CVE-2025-2099Medium5.3fixed in 4.50.0
Mar 202025Transformers Regular Expression Denial of Service (ReDoS) vulnerability
CVE-2024-12720Medium5.3fixed in 4.48.0
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

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