PyTorch | Breaking Cybersecurity News | The Hacker News

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 0.0.0.0 by default instead of localhost, making it accessible to external requests. CVE-2023-43654  (CVS

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

Compromising the browser is a high-return target for adversaries. Browser extensions, which are small software modules that are added to the browser and can enhance browsing experiences, have become a popular browser attack vector. This is because they are widely adopted among users and can easily turn malicious through developer actions or attacks on legitimate extensions. Recent incidents like  DataSpii  and the  Nigelthorn  malware attack have exposed the extent of damage that malicious extensions can inflict. In both cases, users innocently installed extensions that compromised their privacy and security. The underlying issue lies in the permissions granted to extensions. These permissions, often excessive and lacking granularity, allow attackers to exploit them. What can organizations do to protect themselves from the risks of browser extensions without barring them from use altogether (an act that would be nearly impossible to enforce)?  A new report by LayerX, "Unveiling the