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...

CVE-2025-6051: Inefficient Regular Expression Complexity

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...

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...

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 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

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...

CVE-2025-6638: Inefficient Regular Expression Complexity

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...

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...

Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks

GraphQL's flexibility, while beneficial for efficient data fetching, introduces unique security vulnerabilities that traditional API security mechanisms often fail to address. Malicious GraphQL queries can exploit the language's dynamic nature, leading to denial-of-service attacks, data...

SUSE CVE-2025-5197

A Regular Expression Denial of Service ReDoS vulnerability exists in the Hugging Face Transformers library, specifically in the converttfweightnametoptweightname function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern /^/^// that can be...

CVE-2025-5197

A flaw was found in transformers. The converttfweightnametoptweightname function contains a Regular Expression Denial of Service ReDoS vulnerability, where a maliciously crafted input string can cause excessive backtracking during regular expression matching. This flaw allows a network-based...