GPU mining malware spreads via SEO poisoning, AI chatbots

Threat actors are targeting systems with high-performance computers in an ongoing cryptojacking campaign spread through a ...
IEEE

Zero-Day Malware Detection Using Autoencoder and Hybrid Deep Learning Model

Abstract: Malware continues to pose a serious threat to cybersecurity, especially with the rise of unknown or zero day attacks that bypass the traditional antivirus tools. This study proposes a hybrid ...
AlphaGalileo

Unmasking Hidden Threats: Adaptive Encrypted Malware Detection via FC-MAE

Sub-headline: BIT researchers introduce Malcom to tackle cross-domain encrypted traffic detection using self-supervised learning. A significant technical pain point in cybersecurity is the heavy ...
Infosecurity-magazine.com

DeepLoad Malware Combines ClickFix With AI-Generated Code to Avoid Detection

A newly uncovered malware campaign is combining ClickFix delivery with AI generated evasion techniques to steal enterprise user accounts and passwords. The attacks are designed to provide intruders ...
Dark Reading

AI-Powered 'DeepLoad' Malware Steals Credentials, Evades Detection

Researchers have uncovered a new malware strain capable of stealing credentials immediately after gaining a foothold on a victim network, capturing both stored browser passwords and live keystrokes in ...
SecurityWeek

Cyber Insights 2026: Malware and Cyberattacks in the Age of AI

Security leaders share how artificial intelligence is changing malware, ransomware, and identity-led intrusions, and how defenses must evolve. SecurityWeek’s Cyber Insights 2026 examines expert ...
Infosecurity-magazine.com

Malware Manipulates AI Detection in Latest npm Package Breach

A new attempt to influence AI-driven security scanners has been identified in a malicious npm package. The package, eslint-plugin-unicorn-ts-2 version 1.2.1, appeared to be a TypeScript variant of the ...
Scientific Research Publishing

An, J. and Cho, S. (2015) Variational Autoencoder Based Anomaly Detection Using Reconstruction Probability. Special Lecture on IE, 2, 1-18.

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
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 ...
Digital Trends

Google flags an AI-powered malware which rewrites itself in real time

What Happened: So, Google’s top security – Google’s Threat Intelligence Group, or GTIG – just found something that is frankly pretty terrifying. It’s a new type of malware they’re calling PROMPTFLUX.
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

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