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...

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 converttfweightnametoptweightname function. An attacker can cause excessive CPU consumption and disru...

GHSA-9356-575X-2W9M Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

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...

Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

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...

3m (=0.1.0), aaa-ml-datasets-course (=1.0.0) +1855 more potentially affected by CVE-2025-5197 via transformers (>=2.10.0 <=4.52.4)

transformers PYPI version =2.10.0, =0.0.4.80, =0.1.0, =0.1.1, =0.1.0, =0.0.3, =0.0.1, =0.0.0.dev20230804, =0.1.0, =0.3.0, =0.1.0, =0.2.5, =0.2.11 and more Source cves: CVE-2025-5197 Source advisory: OSV:GHSA-9356-575X-2W9M...

3m (=0.1.0), aaa-ml-datasets-course (=1.0.0) +1759 more potentially affected by CVE-2025-5197 via transformers (>=4.0.0 <=4.52.4)

transformers PYPI version =4.0.0, =0.0.4.80, =0.1.0, =0.1.1, =0.1.0, =0.0.3, =0.0.0.dev20230804, =0.1.0, =0.3.0, =0.1.0, =0.2.5, =0.0.1, =0.1.2 and more Source cves: CVE-2025-5197 Source advisory: SNYK:PYTHON-TRANSFORMERS-11501199...

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 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

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 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

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 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

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

The CVE-2025-5197 ReDoS vulnerability affects Hugging Face Transformers in the convert_tf_weight_name_to_pt_weight_name() function, where the regex /[^/]___([^/] )/ can cause excessive CPU usage via catastrophic backtracking. Affected versions: up to 4.51.3, with a fix in 4.53.0. Practical impact...

PT-2025-32158

Name of the Vulnerable Software and Affected Versions Hugging Face Transformers versions up to 4.51.3 Description A Regular Expression Denial of Service ReDoS vulnerability exists in the convert tf weight name to pt weight name function of the Hugging Face Transformers library. This function, whi...

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 4.51.3 and earlier versions that stems from a regular expression denial of service attack...

"Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels

Transformers have become the backbone of many Machine Learning ML applications, including language translation, summarization, and computer vision. As these models are increasingly deployed in shared Graphics Processing Unit GPU environments via Machine Learning as a Service MLaaS, concerns aroun...

Security Bulletin: IBM watsonx Code Assistant On Prem product impacted by Input Handling Vulnerability in Transformers 4.49.0

Summary A vulnerability CVE-2025-1194 has been identified in the Transformers Python package version 4.49.0, which impacts the IBM watsonx Code Assistant On-Premises product. The issue arises from improper input validation during model configuration loading, which may allow attackers to execute...

Security Bulletin: DataStage on Cloud Pak for Data has vulnerabilities due to transformers package (CVE-2024-11392, CVE-2024-11393, CVE-2024-11394)

Summary transformers is used by DataStage on Cloud Pak for Data as part of the model-definition framework. Vulnerability Details CVEID:CVE-2024-11392 DESCRIPTION: Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows...

HyDRA: a Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD

Device recognition is vital for security in wireless communication systems, particularly for applications like access control. Radio Frequency Fingerprint Identification RFFI offers a non-cryptographic solution by exploiting hardware-induced signal distortions. This paper proposes HyDRA, a Hybrid...

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...