195 matches found
Malicious code in huggingface-js (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ddd4d756fe7df1a0ac3caf862d744269bc2e1c1b49d8a4e12c702ded81b75dbf The package huggingface-js was found to contain malicious code. Source: ghsa-malware 9240da3d6ad3248bf99f72ea626c3562d3614a363647cad28a5468f16e73b885...
CVE-2025-14929
A flaw was found in the Hugging Face Transformers library. The parsing of checkpoints fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious X-CLIP model, resulting in arbitrary code execution in the context o...
CVE-2025-14920
Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability ...
"To Survive, I Must Defect": Jailbreaking LLMs Via the Game-Theory Scenarios
As LLMs become more common, non-expert users can pose risks, prompting extensive research into jailbreak attacks. However, most existing black-box jailbreak attacks rely on hand-crafted heuristics or narrow search spaces, which limit scalability. Compared with prior attacks, we propose Game-Theor...
Exploit for Deserialization of Untrusted Data in Huggingface Transformers
Running - have docker and uv installed, then clone repo and run...
EUVD-2025-20217
Malicious code in bioql PyPI...
EUVD-2024-2148
Malicious code in bioql PyPI...
EUVD-2025-15128
Malicious code in bioql PyPI...
EUVD-2023-0299
Malicious code in bioql PyPI...
EUVD-2023-0300
Malicious code in bioql PyPI...
EUVD-2025-22815
Malicious code in bioql PyPI...
EUVD-2025-30385
Malicious code in bioql PyPI...
EUVD-2025-7016
Malicious code in bioql PyPI...
SUSE CVE-2025-6921
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...
CVE-2025-6921
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...
CVE-2025-6921
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...
CVE-2025-6921 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...
CVE-2025-6921 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...
Security Bulletin: IBM Maximo Application Suite Ai-Service Component uses vulnerable huggingface/transformers library.
Summary Security Bulletin: IBM Maximo Application Suite Ai-Service Component uses vulnerable huggingface/transformers library. This bulletin contains information regarding the vulnerability and its fixture. Vulnerability Details CVEID:CVE-2025-1194 DESCRIPTION: A Regular Expression Denial of...
transformers 资源管理错误漏洞
transformers is a Hugging Face open source application for machine learning. A resource management error vulnerability exists in transformers versions prior to 4.53.0, which stems from a flaw in the douseweightdecay method's handling of user-controlled regular expressions, which could lead to a...