https://db.gcve.eu/rss/recent/all/10 Most recent entries from all 2026-09-30T18:06:24.505587+00:00 Vulnerability-Lookup info@gcve.eu python-feedgen Contains only the most 10 recent entries. https://db.gcve.eu/vuln/cve-2025-6051 CVE-2025-6051 — Regular Expression Denial of Service (ReDoS) in huggingface/transformers 2026-09-30T18:06:24.545840+00:00

Affected: huggingface/transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.

 https://db.gcve.eu/vuln/ghsa-rcv9-qm8p-9p6j GHSA-rcv9-qm8p-9p6j — Hugging Face Transformers library has Regular Expression Denial of Service 2026-09-30T18:06:24.545945+00:00

Affected: PyPI: transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.

 https://db.gcve.eu/vuln/pysec-2026-1988 PYSEC-2026-1988 — Hugging Face Transformers library has Regular Expression Denial of Service 2026-09-30T18:06:24.545990+00:00

Affected: PyPI: transformers

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.