EurekAlert!

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 ...
Frontiers

Explainable deep learning approaches and clinical insights for cancer biomarker identification

Biomarkers play a pivotal role in contemporary cancer immunotherapy by guiding diagnosis, patient stratification, therapeutic decision-making, and longitudinal assessment of treatment responses.
TechRepublic

New Phishing Attack Turns n8n Into On-Demand Malware Machine

Hackers are abusing n8n workflows to deliver malware and evade detection, according to Cisco Talos, using trusted automation to bypass security defenses. A trusted automation tool has quietly become a ...
Bleeping Computer

New ‘LucidRook’ malware used in targeted attacks on NGOs, universities

A new Lua-based malware, called LucidRook, is being used in spear-phishing campaigns targeting non-governmental organizations and universities in Taiwan. Cisco Talos researchers attribute the malware ...
Time

New ‘DarkSword’ Spyware Could Be Capable of Hacking Millions of iPhones, Researchers ...

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Bleeping Computer

AI-generated Slopoly malware used in Interlock ransomware attack

A new malware strain dubbed Slopoly, likely created using generative AI tools, allowed a threat actor to remain on a compromised server for more than a week and steal data in an Interlock ransomware ...
SecurityWeek

2 Venezuelans Convicted in US for Using Malware to Hack ATMs

Two Venezuelan nationals convicted of using malware to steal cash from ATMs will be deported, the US Department of Justice announced this week. The suspects, 34-year-old Luz Granados and 40-year-old ...
SecurityWeek

ATM Hackers Using ‘Ploutus’ Malware Charged in US

The Department of Justice charged 54 individuals, including leaders and members of the Venezuelan crime syndicate Tren de Aragua. The US Department of Justice has announced charges against dozens of ...
IEEE

Real-Time Detection of Fileless Malware Using Hybrid Deep Learning with CNN and Autoencoder ...

Abstract: Fileless malware represents a rising and complex challenge in cybersecurity, primarily due to its capability to avoid conventional detection strategies by operating entirely within a ...