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CVE-2025-1194: Transformers Regular Expression Denial of Service (ReDoS) vulnerability

April 29, 2025

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).

References

  • github.com/advisories/GHSA-fpwr-67px-3qhx
  • github.com/huggingface/transformers
  • github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815
  • huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2
  • nvd.nist.gov/vuln/detail/CVE-2025-1194

Code Behaviors & Features

Detect and mitigate CVE-2025-1194 with GitLab Dependency Scanning

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Affected versions

All versions before 4.50.0

Fixed versions

  • 4.50.0

Solution

Upgrade to version 4.50.0 or above.

Impact 4.3 MEDIUM

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

Learn more about CVSS

Weakness

  • CWE-1333: Inefficient Regular Expression Complexity

Source file

pypi/transformers/CVE-2025-1194.yml

Spotted a mistake? Edit the file on GitLab.

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