CVE-2025-1194

Medium

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).

SeverityMedium
CVSS6.5
Exploit probability—
ProductHuggingface Transformers
PublishedApr 29, 2025
First seenApr 29, 2025
Weakness typeCWE-1333CWE-1333

How to fix

Update
  • huggingface transformers4.50.0 or later
  • transformers4.50.0 or later

Affected products

ProductAffected versionsFixed in
huggingface transformersv < 4.50.04.50.0
transformersPyPIv < 4.50.04.50.0

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CVE-2025-1194 · Huggingface Transformers · Dark Radar