MediumVulnerabilityLLM-specific
CVE-2025-1194: huggingface/transformers ReDoS in GPT-NeoX-Japanese tokenizer via crafted input
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2025-1194
- Published
- Record updated
- Affected
- transformers < 4.50.0
- Fixed in
- 4.50.0
- released March 21, 2025, 39 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.5%
Summary
CVE-2025-1194 is a Regular Expression Denial of Service (ReDoS) flaw in the huggingface/transformers library, in `tokenization_gpt_neox_japanese.py` for the GPT-NeoX-Japanese model. Regular expressions in the SubWordJapaneseTokenizer class process specially crafted inputs, and a regex with exponential complexity causes excessive backtracking. The affected version is v4.48.1 (latest), and the result is high CPU usage and potential application downtime.
Mitigation
The source does not state a fix yet. Check the original advisory for updates.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- transformersPyPILLM dependency since 2016-08-17 · 141 tracked dependents
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