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New Hugging Face Vulnerability Exposes AI Models to Supply Chain Attacks

New Hugging Face Vulnerability Exposes AI Models to Supply Chain Attacks

Feb 27, 2024 Supply Chain Attack / Data Security
Cybersecurity researchers have found that it's possible to compromise the Hugging Face Safetensors conversion service to ultimately hijack the models submitted by users and result in supply chain attacks. "It's possible to send malicious pull requests with attacker-controlled data from the Hugging Face service to any repository on the platform, as well as hijack any models that are submitted through the conversion service," HiddenLayer  said  in a report published last week. This, in turn, can be accomplished using a hijacked model that's meant to be converted by the service, thereby allowing malicious actors to request changes to any repository on the platform by masquerading as the conversion bot. Hugging Face is a popular collaboration platform that helps users host pre-trained machine learning models and datasets, as well as build, deploy, and train them. Safetensors is a  format  devised by the company to store  tensors  keeping security in mind, as oppo
Warning: PyTorch Models Vulnerable to Remote Code Execution via ShellTorch

Warning: PyTorch Models Vulnerable to Remote Code Execution via ShellTorch

Oct 03, 2023 Artificial Intelligence / Cyber Threat
Cybersecurity researchers have disclosed multiple critical security flaws in the  TorchServe tool  for serving and scaling PyTorch models that could be chained to achieve remote code execution on affected systems. Israel-based runtime application security company Oligo, which made the discovery, has coined the vulnerabilities  ShellTorch . "These vulnerabilities [...] can lead to a full chain Remote Code Execution (RCE), leaving countless thousands of services and end-users — including some of the world's largest companies — open to unauthorized access and insertion of malicious AI models, and potentially a full server takeover," security researchers Idan Levcovich, Guy Kaplan, and Gal Elbaz  said . The list of flaws, which have been addressed in  version 0.8.2 , is as follows - No CVE - Unauthenticated management interface API misconfiguration that binds it to by default instead of localhost, making it accessible to external requests. CVE-2023-43654  (CVS
PyTorch Machine Learning Framework Compromised with Malicious Dependency

PyTorch Machine Learning Framework Compromised with Malicious Dependency

Jan 02, 2023 Supply Chain / Machine Learning
The maintainers of the PyTorch package have warned users who have installed the nightly builds of the library between December 25, 2022, and December 30, 2022, to uninstall and download the latest versions following a  dependency confusion attack . "PyTorch-nightly Linux packages installed via pip during that time installed a dependency,  torchtriton , which was compromised on the Python Package Index (PyPI) code repository and ran a malicious binary," the PyTorch team  said  in an alert over the weekend. PyTorch, analogous to Keras and TensorFlow, is an open source Python-based machine learning framework that was originally developed by Meta Platforms. The PyTorch team said that it became aware of the malicious dependency on December 30, 4:40 p.m. GMT. The supply chain attack entailed uploading the malware-laced copy of a legitimate dependency named torchtriton to the Python Package Index (PyPI) code repository. Since package managers like pip check public code registr
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Webinar: How to streamline security reviews with Trust Center

websiteVantaCompliance / Security Audit
Learn how Vanta Trust Center can help provide real-time evidence for passing controls and automate responses to security questionnaires.
Defending Your Commits From Known CVEs With GitGuardian SCA And Git Hooks

Defending Your Commits From Known CVEs With GitGuardian SCA And Git Hooks

May 20, 2024Software Security / Vulnerability
All developers want to create secure and dependable software. They should feel proud to release their code with the full confidence they did not introduce any weaknesses or anti-patterns into their applications. Unfortunately, developers are not writing their own code for the most part these days. 96% of all software contains some open-source components, and open-source components make up between  70% and 90% of any given piece of modern software . Unfortunately for our security-minded developers, most modern vulnerabilities come from those software components.  As new vulnerabilities emerge and are publicly reported as  Common Vulnerabilities and Exposures  (CVEs), security teams have little choice but to ask the developer to refactor the code to include different versions of the dependencies. Nobody is happy in this situation, as it blocks new features and can be maddening to roll back component versions and hope that nothing breaks. Developers need a way to  quickly  determine if
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