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GHSA-fpwr-67px-3qhx: Transformers Regular Expression Denial of Service (ReDoS) vulnerability

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).

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  1. GitHub Advisory Database
  2. GitHub Reviewed
  3. CVE-2025-1194

Transformers Regular Expression Denial of Service (ReDoS) vulnerability

Moderate severity GitHub Reviewed Published Apr 29, 2025 to the GitHub Advisory Database • Updated Apr 29, 2025

Package

pip transformers (pip)

Affected versions

< 4.50.0

Description

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

  • https://nvd.nist.gov/vuln/detail/CVE-2025-1194
  • huggingface/transformers@92c5ca9
  • https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2

Published to the GitHub Advisory Database

Apr 29, 2025

Last updated

Apr 29, 2025

EPSS score

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