https://db.gcve.eu/rss/recent/all/10 Most recent entries from all 2026-09-30T19:00:36.693284+00:00 Vulnerability-Lookup info@gcve.eu python-feedgen Contains only the most 10 recent entries. https://db.gcve.eu/vuln/cve-2025-6638 CVE-2025-6638 — Regular Expression Denial of Service (ReDoS) in huggingface/transformers 2026-09-30T19:00:36.696905+00:00

Affected: huggingface/transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.

 https://db.gcve.eu/vuln/ghsa-59p9-h35m-wg4g GHSA-59p9-h35m-wg4g — Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer 2026-09-30T19:00:36.696986+00:00

Affected: PyPI: transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.

 https://db.gcve.eu/vuln/pysec-2026-1981 PYSEC-2026-1981 — Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer 2026-09-30T19:00:36.697017+00:00

Affected: PyPI: transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.