8749 matches found
EUVD-2021-10139
Malware in sbrugna...
EUVD-2006-0210
Malware in sbrugna...
EUVD-2012-4447
Malware in sbrugna...
EUVD-2002-1716
Malware in sbrugna...
EUVD-2016-4164
Malware in sbrugna...
Code Agent Can Be an End-To-End System Hacker: Benchmarking Real-World Threats of Computer-Use Agent
Computer-use agent CUA frameworks, powered by large language models LLMs or multimodal LLMs MLLMs, are rapidly maturing as assistants that can perceive context, reason, and act directly within software environments. Among their most critical applications is operating system OS control. As CUAs in...
Enhancing Automotive Security with a Hybrid Approach Towards Universal Intrusion Detection System
Security measures are essential in the automotive industry to detect intrusions in-vehicle networks. However, developing a one-size-fits-all Intrusion Detection System IDS is challenging because each vehicle has unique data profiles. This is due to the complex and dynamic nature of the data...
Unity Linux 20.1070e Security Update: util-linux (UTSA-2025-680643)
The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-680643 advisory. A logic error was found in the libmount library of util-linux in the function that allows an unprivileged user to unmount a FUSE filesystem. This flaw allows a local...
Detecting DLL hijacking with machine learning: real-world cases
Introduction Our colleagues from the AI expertise center recently developed a machine-learning model that detects DLL-hijacking attacks. We then integrated this model into the Kaspersky Unified Monitoring and Analysis Platform SIEM system. In a separate article, our colleagues shared how the mode...
The Evolution of Russian Physical-Cyber Espionage
The Evolution of Russian Physical-Cyber Espionage By Ryan Slaney · October 6, 2025 Russian state-sponsored cyber operations, primarily those conducted by hackers belonging to its Main Intelligence Directorate GRU, also known as APT28, have long combined digital intrusions with physical tradecraft...
MulVuln: Enhancing Pre-Trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
Software vulnerabilities SVs pose a critical threat to safety-critical systems, driving the adoption of AI-based approaches such as machine learning and deep learning for software vulnerability detection. Despite promising results, most existing methods are limited to a single programming languag...
EUVD-2023-51865
Malicious code in bioql PyPI...
EUVD-2024-35252
Malicious code in bioql PyPI...
EUVD-2025-30269
Malicious code in bioql PyPI...
EUVD-2023-48483
Malicious code in bioql PyPI...
EUVD-2022-27879
Malicious code in bioql PyPI...
EUVD-2024-0595
Malicious code in bioql PyPI...
EUVD-2023-12235
Malicious code in bioql PyPI...