36 matches found
Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in transformers-4.48.3-py3-none-any.whl
Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in transformers-4.48.3-py3-none-any.whl Vulnerability Details CVEID:CVE-2025-1194 DESCRIPTION: A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers...
EUVD-2025-30889
Malicious code in bioql PyPI...
CVE-2025-6921
CVE-2025-6921 affects the huggingface/transformers library prior to 4.53.0, causing a Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer via unsafe handling in _do_use_weight_decay of include_in_weight_decay/exclude_from_weight_decay. IBM Maximo Application Suite Monito...
Security Bulletin: IBM watsonx Orchestrate Cartridge affected by vulnerability in transformers-4.48.3-py3-none-any.whl
Summary IBM watsonx Orchestrate Cartridge contains a vulnerable version of transformers-4.48.3-py3-none-any.whl Vulnerability Details CVEID:CVE-2025-2099 DESCRIPTION: A vulnerability in the preprocessstring function of the transformers.testingutils module in huggingface/transformers version v4.48...
Regular Expression Denial Of Service (ReDoS)
Transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to the use of a vulnerable regex pattern in the DonutProcessor.token2json method, which allows an attacker to craft malicious input causing excessive CPU consumption through catastrophic backtrackin...
Security Bulletin: IBM watsonx Orchestrate Cartridge affected by vulnerability in transformers 4.36.2
Summary IBM watsonx Orchestrate Cartridge contains a vulnerable version of transformers 4.36.2 Vulnerability Details CVEID:CVE-2024-3568 DESCRIPTION: The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the...
GHSA-PHHR-52QP-3MJ4 Transformers's Improper Input Validation vulnerability can be exploited through username injection
Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the imageutils.py file. The vulnerability arises from insecure URL validation using the startswith method, which can be bypassed through URL username injection. This allows attackers to...
Transformers's Improper Input Validation vulnerability can be exploited through username injection
Hugging Face Transformers versions up to 4.49.0 are affected by an improper input validation vulnerability in the imageutils.py file. The vulnerability arises from insecure URL validation using the startswith method, which can be bypassed through URL username injection. This allows attackers to...
Improper Validation of Syntactic Correctness of Input
Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Improper Validation of Syntactic Correctness of Input via improper handling of user-supplied URLs by using the startswith method in imageutils.py. An...
CVE-2025-3262 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
A Regular Expression Denial of Service ReDoS vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the SETTINGRE variable within the transformers/commands/chat.py file. The...
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 4.49.0, which stems from insufficient regular expression complexity in the getimports function in...
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 4.49.0, which stems from insufficient regular expression complexity in the SETTINGRE variable in...
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 4.49.0, which stems from insufficient regular expression complexity in the getconfigurationfile functi...
CVE-2023-6730
Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36...
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 nested quantifiers in the preprocessstring function of transformers.testingutils, which can cause exponential backtracking and high CPU usage when...
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...