https://vulnerability.circl.lu/rss/recent/all/10 Most recent entries from all 2026-10-04T06:57:57.351448+00:00 Vulnerability-Lookup info@circl.lu python-feedgen Contains only the most 10 recent entries. https://vulnerability.circl.lu/vuln/cve-2025-1194 CVE-2025-1194 — Regular Expression Denial of Service (ReDoS) in huggingface/transformers 2026-10-04T06:57:58.920674+00:00

Affected: huggingface/transformers

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).

 https://vulnerability.circl.lu/vuln/ghsa-fpwr-67px-3qhx GHSA-fpwr-67px-3qhx — Transformers Regular Expression Denial of Service (ReDoS) vulnerability 2026-10-04T06:57:58.920823+00:00

Affected: PyPI: transformers

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).

 https://vulnerability.circl.lu/vuln/pysec-2026-1984 PYSEC-2026-1984 — Transformers Regular Expression Denial of Service (ReDoS) vulnerability 2026-10-04T06:57:58.920878+00:00

Affected: PyPI: transformers

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).