Dark Reading

Complex VoidLink Linux Malware Created by AI

Researchers say the advanced framework was built almost entirely by agents, marking a significant evolution in the use of AI ...

New research decodes hidden bias in health care LLMs

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
The Hacker News

VoidLink Linux Malware Framework Built with AI Assistance Reaches 88,000 Lines of Code

Experts say the VoidLink Linux malware was largely built using AI, reaching 88,000 lines of code in days and highlighting ...
Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
The Hacker News

Hackers Use LinkedIn Messages to Spread RAT Malware Through DLL Sideloading

Researchers found a LinkedIn phishing campaign delivering a remote access trojan via DLL sideloading, WinRAR SFX files, and ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Bleeping Computer

Ransomware IAB abuses EDR for stealthy malware execution

An initial access broker tracked as Storm-0249 is abusing endpoint detection and response solutions and trusted Microsoft Windows utilities to load malware, establish communication, and persistence in ...
Engadget

Chinese hackers reportedly targeting government entities using 'Brickstorm' malware

Hackers with links to China reportedly successfully infiltrated a number of unnamed government and tech entities using advanced malware. As reported by Reuters, cybersecurity agencies from the US and ...
Dark Reading

How Malware Authors Are Incorporating LLMs to Evade Detection

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...
PC Gamer

This sneaky malware variant has been caught using fake Windows Update screens to trick users into installing info-stealing software themselves

If you're anything like me, you keep a sharp eye on your Windows Defender updates to make sure your PC is protected against the latest threats. However, while Defender is remarkably good at catching ...
Bleeping Computer

RondoDox botnet malware now hacks servers using XWiki flaw

The RondoDox botnet malware is now exploiting a critical remote code execution (RCE) flaw in XWiki Platform tracked as CVE-2025-24893. On October 30, the U.S. Cybersecurity and Information Security ...
Scientific Research Publishing

Ferrag, M.A., Maglaras, L., Moschoyiannis, S. and Janicke, H. (2020) Deep Learning for Cyber Security Intrusion Detection: Approaches, Datasets, and Comparative Study. Journal ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...