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...

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...

CVE-2025-6638

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...

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...

PT-2025-37307

Name of the Vulnerable Software and Affected Versions: Hugging Face Transformers versions prior to 4.53.0 Description: A Regular Expression Denial of Service ReDoS vulnerability exists in the Hugging Face Transformers library, specifically affecting the remove language code method within the...

Linux Distros Unpatched Vulnerability : CVE-2011-3443

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Use-after-free vulnerability in WebKit, as used in Apple Safari before 5.0.6, allows remote attackers to execute arbitrary code or cause a denial of service hea...

CVE-2025-48541

In onCreate of FaceSettings.java, there is a possible way to remove biometric unlock across user profiles due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

Malicious code in face-kids-correct (npm)

The package face-kids-correct was found to contain malicious code...

MAL-2025-44198 Malicious code in face-kids-correct (npm)

The package face-kids-correct was found to contain malicious code...

CVE-2025-48541

In onCreate of FaceSettings.java, there is a possible way to remove biometric unlock across user profiles due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

CVE-2025-48541

In onCreate of FaceSettings.java, there is a possible way to remove biometric unlock across user profiles due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

CVE-2025-48541

CVE-2025-48541 : In the Android code path, the bug occurs in the onCreate of FaceSettings.java, where improper input validation can remove biometric unlock across user profiles. This enables local escalation of privilege with no additional execution privileges required, and exploitation does not ...

CVE-2025-48541

In onCreate of FaceSettings.java, there is a possible way to remove biometric unlock across user profiles due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...