Regular Expression Denial Of Service (ReDoS)

transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to inefficient regular expression processing in the removelanguagecode method of the MarianTokenizer, which allows an attacker to exploit crafted input strings with malformed language code patterns ...

EUVD-2025-29032

Malicious code in bioql PyPI...

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...

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...