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 due to a regex with exponential time complexity in the SubWordJapaneseTokenizer class, leading to excessive backtracking and high CPU usage...

CVE-2025-1194

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

Regular expression Denial of Service - ReDoS

Description A regular expression denial of service ReDoS vulnerability has been identified in the Hugging Face Transformers library's weight conversion utility. The vulnerability exists in the converttfweightnametoptweightname function, which converts TensorFlow weight names to PyTorch format. Th...

GHSA-FPWR-67PX-3QHX Transformers Regular Expression Denial of Service (ReDoS) vulnerability

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

Transformers Regular Expression Denial of Service (ReDoS) vulnerability

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

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 in the tokenizationgptneoxjapanese.py file, within the SubWordJapaneseTokenizer class. The regex is designed ...

CVE-2025-1194

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

CVE-2025-1194

CVE-2025-1194 – ReDoS in HuggingFace Transformers (GPT-NeoX-Japanese SubWordJapaneseTokenizer) The CVE describes a Regular Expression Denial of Service in the HuggingFace transformers package, specifically in tokenization_gpt_neox_japanese.py (GPT-NeoX-Japanese model). The vulnerability arises fr...

CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

PT-2025-18141

Name of the Vulnerable Software and Affected Versions huggingface/transformers library version v4.48.1 Description A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization gpt neox japanese.py of the...

transformers 安全漏洞

transformers is a Hugging Face open source application for machine learning. A security vulnerability exists in transformers version 4.48.1, which stems from exponential complexity in regular expressions when processing specially crafted inputs, potentially leading to a denial of service...

CVE-2025-1194: Inefficient Regular Expression Complexity

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...

📄 Hugging Face Transformers MobileViTV2 4.41.1 Remote Code Execution

Hugging Face Transformers MobileViTV2 version 4.41.1 suffers from a remote code execution vulnerability. Exploit Title: Hugging Face Transformers MobileViTV2 RCE Date: 29-11-2024 Exploit Author: The Kernel Panic Vendor Homepage: https://huggingface.co/ Software Link:...

Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms' "Typo" Correction

The large integration of microphones into devices increases the opportunities for Acoustic Side-Channel Attacks ASCAs, as these can be used to capture keystrokes' audio signals that might reveal sensitive information. However, the current State-Of-The-Art SOTA models for ASCAs, including...

Regular expression Denial of Service - ReDoS in huggingface/transformers

Description A regular expression denial of service ReDoS vulnerability has been identified in the Hugging Face Transformers library's Donut processor. The vulnerability exists in the token2json method of the DonutProcessor class, which processes document tokens into JSON format. The regex pattern...

PT-2025-29223

Name of the Vulnerable Software and Affected Versions: Hugging Face Transformers versions 4.50.3 and earlier Hugging Face Transformers version 4.52.1 Description: A Regular Expression Denial of Service ReDoS vulnerability exists in the Hugging Face Transformers library, specifically within the...

Security Bulletin: IBM Watson Speech Services Cartridge is vulnerable to arbitrary code execution in Hugging Face Transformers [CVE-2024-11392, CVE-2024-11393, CVE-2024-11394]

Summary IBM Watson Speech Services Cartridge is vulnerable to arbitrary code execution in Hugging Face Transformers, caused by a flaw in the parsing of model files CVE-2024-11392, CVE-2024-11393, CVE-2024-11394. Hugging Face Transformers is used by our Speech runtimes. This vulnerabilitiy has bee...

Security Bulletin: There is a vulnerability in Python wheel package for the Hugging Face Transformers library affecting watsonx Code Assistant On Prem Extensions

Summary There is a vulnerablity in the Python wheel package for the Hugging Face Transformers library affecting watsonx Code Assistant On Prem Extensions. This bulletin identifies the steps to take to address the vulnerabilities. Vulnerability Details CVEID:CVE-2024-11394 DESCRIPTION: Hugging Fac...