Neowin

Raspberry Pi can detect malware attack using electromagnetic waves with astonishing accuracy

A Raspberry Pi, trained using malware activity, was able to predict an ongoing attack by monitoring specific electromagnetic waves. This detection system is independent of the potential targets. A ...
IEEE Spectrum on MSN

Vibecoded malware is flooding the internet

“Vibeware” is forcing new anti-malware strategies ...

Varist Announces AI-Scale Malware Detection for Healthcare and Medical Imaging

Varist today introduced its DICOM Detection Engine™, a specialized system designed to safeguard healthcare communications ...
Gizmodo

Raspberry Pi Can Detect Malware By Scanning for Electromagnetic Waves

A simple RF wave-scanning system built around a Raspberry Pi predicted malware with up to a 99.8% accuracy. Reading time 2 minutes The world’s largest companies are grappling with increasingly ...

AhnLab V3 earns top A+ rating at VB100, only Korean product to achieve perfect malware detection

AhnLab's endpoint security solution V3 has earned an A+ rating — the highest available — from global security evaluation body ...
Security

Appdome launches Detect Agentic AI Malware plugins for mobile

Appdome today announced the availability of new dynamic defense plugins to detect and defend against agentic AI malware and unauthorized AI assistants controlling Android & iOS devices and ...
Dark Reading

Malware-Free Cyberattacks Are on the Rise; Here's How to Detect Them

RSA CONFERENCE 2023 – San Francisco – With little more than smart reconnaissance and existing tools, adversaries are increasingly capable of compromising an enterprise network without making any noise ...
Hosted on MSN

Microsoft's Autonomous AI Agent Might Detect Malware Without Human Assistance

The arrival of generative AI software like ChatGPT prompted immediate speculation that hackers would use those programs to create and fine-tune malware attacks. Products like ChatGPT and Gemini might ...
Nature

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms

Internet of Vehicles (IoV) is a multi-node network which switches data in an open and wireless environment. Numerous interaction activities occur among IoV entities to share significant information, ...
Threat Post

Linux Malware Deemed ‘Nearly Impossible’ to Detect

Symbiote, discovered in November, parasitically infects running processes so it can steal credentials, gain rootlkit functionality and install a backdoor for remote access. A new Linux malware that’s ...
Bleeping Computer

Lumma Stealer malware now uses trigonometry to evade detection

The Lumma information-stealing malware is now using an interesting tactic to evade detection by security software - the measuring of mouse movements using trigonometry to determine if the malware is ...
Dark Reading

New Linux Malware 'Nearly Impossible to Detect'

A new malware variant attacking Linux systems that steals credentials and allows for remote access to victim machines camouflages so well that the researchers studying it say they can't conclude if it ...