Infosecurity Magazine

Malware Discovered in 19 Visual Studio Code Extensions

A new campaign involving 19 malicious Visual Studio Code extensions used a legitimate npm package to embed malware in ...
Dark Reading

ClickFix Style Attack Uses Grok, ChatGPT for Malware Delivery

A new twist on the social engineering tactic is making waves, combining SEO poisoning and legitimate AI domains to install ...
GovInfoSecurity

The Unseen Threat: DNA as Malware

Researchers demonstrated that it is feasible to encode executable payloads into synthetic DNA that, once sequenced and ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
IEEE

Evolutionary Deep-Learning Malware Classifiers

Abstract: Malware attacks remain a critical cyber-security concern, necessitating robust solutions for both individual users and organizations. Deep learning methods have become pervasive tools for ...
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 ...
IEEE

Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach

Abstract: Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in ...
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 ...