CVE-2025-1194
mediumPriorität · verfolgen · 26EPSS 0.005 · 41. PerzentilDEEURUUSEPSS · bewertet 2026-10-27
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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Ein Angreifer kann mehrere Schwachstellen in IBM App Connect Enterprise ausnutzen, um Dateien zu manipulieren, vertrauliche Informationen preiszugeben und einen Denial-of-Service-Zustand zu verursachen.
- GHSA-fpwr-67px-3qhxTransformers Regular Expression Denial of Service (ReDoS) vulnerability2025-04-29ghsa · osvUS
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).
- PYSEC-2026-1984Transformers Regular Expression Denial of Service (ReDoS) vulnerability2026-07-07vendor · osvUS
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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Referenzen (7)
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815cnnvd
- https://huggingface.co/docs/transformers/indexPatchcnnvd
- https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2cnnvd
- https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815enisa_euvd
- https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2enisa_euvd
- https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815Patchnvd
- https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2ExploitThird Party Advisorynvd
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