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).
describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2025-1194US | medium6.5 | — | ||
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… | ||||
references
External citations — patches, advisories, analysis.
- https://github.com/advisories/GHSA-fpwr-67px-3qhxADVISORY
- https://github.com/huggingface/transformersPACKAGE
- https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815WEB
- https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2WEB
- https://nvd.nist.gov/vuln/detail/CVE-2025-1194ADVISORY
- https://pypi.org/project/transformersPACKAGE
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