Regular Expression Denial of Service (ReDoS)

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the normalizenumbers function of the EnglishNormalizer class. An attacker can cause excessive CPU...

3m (=0.1.0), aaa-ml-datasets-course (=1.0.0) +1759 more potentially affected by CVE-2025-6051 via transformers (>=4.0.0 <=4.52.4)

transformers PYPI version =4.0.0, =0.0.4.80, =0.1.0, =0.1.1, =0.1.0, =0.0.3, =0.0.0.dev20230804, =0.1.0, =0.3.0, =0.1.0, =0.2.5, =0.0.1, =0.1.2 and more Source cves: CVE-2025-6051 Source advisory: SNYK:PYTHON-TRANSFORMERS-12670879...

CVE-2025-6051

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalizenumbers 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 fro...

CVE-2025-6051

CVE-2025-6051 is a ReDoS in Hugging Face Transformers’ EnglishNormalizer.normalize_numbers(), affecting versions up to 4.52.4 and fixed in 4.53.0. The issue arises from numeric string handling, enabling crafted inputs with long digit sequences to cause excessive CPU usage, impacting text-to-speec...

CVE-2025-6051 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalizenumbers 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 fro...

CVE-2025-6051 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalizenumbers 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 fro...

CVE-2025-6051 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the normalizenumbers 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 fro...

Hugging Face Transformers 安全漏洞

Hugging Face Transformers is Hugging Face's open source advanced natural language processing for Jax, PyTorch and TensorFlow. A security vulnerability exists in Hugging Face Transformers version 4.52.4 and earlier, which stems from the mishandling of numeric strings in the normalizenumbers method...

GHSA-59P9-H35M-WG4G Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's removelanguagecode method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from...

Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's removelanguagecode method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from...

3m (=0.1.0), aaa-ml-datasets-course (=1.0.0) +1855 more potentially affected by CVE-2025-6638 via transformers (>=2.10.0 <=4.52.4)

transformers PYPI version =2.10.0, =0.0.4.80, =0.1.0, =0.1.1, =0.1.0, =0.0.3, =0.0.1, =0.0.0.dev20230804, =0.1.0, =0.3.0, =0.1.0, =0.2.5, =0.2.11 and more Source cves: CVE-2025-6638 Source advisory: OSV:GHSA-59P9-H35M-WG4G...

3m (=0.1.0), aaa-ml-datasets-course (=1.0.0) +1759 more potentially affected by CVE-2025-6638 via transformers (>=4.0.0 <=4.52.4)

transformers PYPI version =4.0.0, =0.0.4.80, =0.1.0, =0.1.1, =0.1.0, =0.0.3, =0.0.0.dev20230804, =0.1.0, =0.3.0, =0.1.0, =0.2.5, =0.0.1, =0.1.2 and more Source cves: CVE-2025-6638 Source advisory: SNYK:PYTHON-TRANSFORMERS-12668722...

CVE-2025-6638 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's removelanguagecode method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from...

Regular Expression Denial of Service (ReDoS)

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the removelanguagecode function in the MarianTokenizer class, when handling malformed language code...

CVE-2025-6638 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's removelanguagecode method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from...

CVE-2025-6638

CVE-2025-6638 affects Hugging Face Transformers, specifically MarianTokenizer.remove_language_code(). The vulnerability arises from inefficient regex processing that can be triggered by crafted input patterns, causing high CPU usage and potential DoS. Affected version: 4.52.4; fixed in 4.53.0. IB...

Hugging Face Transformers 安全漏洞

Hugging Face Transformers is Hugging Face's open source advanced natural language processing for Jax, PyTorch and TensorFlow. A security vulnerability exists in Hugging Face Transformers version 4.52.4, which stems from a regular expression processing efficiency issue in the removelanguagecode...

Security Bulletin: IBM Maximo Application Suite - Monitor Component is vulnerable to transformers-4.48.0-py3-none-any.whl CVE-2025-2099

Summary IBM Maximo Application Suite - Monitor Component is vulnerable to transformers-4.48.0-py3-none-any.whl CVE-2025-2099. This bulletin identifies the steps to take to address the vulnerabilities. Vulnerability Details CVEID:CVE-2025-2099 DESCRIPTION: A vulnerability in the preprocessstring...

Security Bulletin: IBM Watson Speech Services Cartridge is vulnerable to a Denial of Service in huggingface/transformers [CVE-2025-2099]

Summary IBM Watson Speech Services Cartridge is vulnerable to a Denial of Service in huggingface/transformers, due to an issue where the regular expression used to process code blocks in docstrings contains nested quantifiers, leading to exponential backtracking when processing input with a large...

Regular Expression Denial Of Service (ReDoS)

Hugging Face Transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to the use of a regex pattern /^/^// in the converttfweightnametoptweightname function, which allows attackers to craft malicious input strings causing catastrophic backtracking and...