North Korea-Linked macOS Malware Uses Prompt Injection to Evade AI Analysis

SentinelOne says macOS.Gaslight uses prompt injection to mislead AI-based malware analysis, steal data, and use Telegram for ...
IEEE

TorDet: A Refined Two-Stage Deep Learning Approach for Radar-Based Tornado Detection

Abstract: Tornadoes are highly destructive weather events, and their timely detection is crucial for mitigating damage and saving lives. Doppler weather radar serves as the primary operational tool ...
IEEE

Counterfeit RF Fingerprint Detection Using an Autoencoder-Based Approach

Abstract: Radio frequency (RF) fingerprints, used for the authentication of wireless transmitters at the physical layer, can be targeted by adversaries seeking to create counterfeit fingerprints to ...
Bleeping Computer

Chinese hackers use new Atlas RAT malware in European cyberattacks

A Chinese-speaking cybercrime group has expanded its targeting to the European space, deploying previously undocumented malware and the Atlas backdoor. Tracked as TA4922, the threat actor is ...
Mashable

Teenagers are using a $5 Minecraft malware called WeedHack to target and cyberbully victims

Minecraft is one of the most popular games on the planet. So, of course, that makes Minecraft players a prime target for hackers. In a new cybersecurity report, researchers from McAfee Labs describe ...
Nature

scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoder

Single-cell RNA sequencing enables high-resolution analysis of cellular heterogeneity, yet disentangling biological signal from batch effects remains challenging. Existing batch-correction algorithms ...
Bleeping Computer

WordPress malware campaign hides payloads in Steam profiles

Nearly 2,000 WordPress websites were infected with malware that relies on Steam Community profile comments to hide command-and-control (C2) data. The threat actor used invisible Unicode characters to ...
Nature

Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet)

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...