https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Sun, 04 Oct 2026 11:21:01 +0000 https://cve.radiocsirt.org/vuln/bdu:2025-12552 bdu:2025-12552 https://cve.radiocsirt.org/vuln/bdu:2025-12552 https://cve.radiocsirt.org/vuln/certfr-2026-avi-0556 certfr-2026-avi-0556 https://cve.radiocsirt.org/vuln/certfr-2026-avi-0556 https://cve.radiocsirt.org/vuln/euvd-2026-235556 EUVD-2026-235556 https://cve.radiocsirt.org/vuln/euvd-2026-235556 https://cve.radiocsirt.org/vuln/fkie_cve-2025-1194 <p>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).</p> <p>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).</p> https://cve.radiocsirt.org/vuln/fkie_cve-2025-1194 https://cve.radiocsirt.org/vuln/ghsa-fpwr-67px-3qhx <p><strong>Affected:</strong> PyPI: transformers</p> <p>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).</p> <p><strong>Affected:</strong> PyPI: transformers</p> <p>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).</p> https://cve.radiocsirt.org/vuln/ghsa-fpwr-67px-3qhx https://cve.radiocsirt.org/vuln/pysec-2026-1984 <p><strong>Affected:</strong> PyPI: transformers</p> <p>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).</p> <p><strong>Affected:</strong> PyPI: transformers</p> <p>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).</p> https://cve.radiocsirt.org/vuln/pysec-2026-1984 https://cve.radiocsirt.org/vuln/wid-sec-w-2025-0998 <p>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.</p> <p>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.</p> https://cve.radiocsirt.org/vuln/wid-sec-w-2025-0998