Security Affairs Malware newsletter includes a collection of the best articles and research on malware in the international landscape Malware Newsletter New BoryptGrab Stealer Targets Windows Users via Deceptive GitHub Pages Inside Coruna: Reverse Engineering a Nation-State iOS Exploit Kit From JavaScript  ClipXDaemon: Autonomous X11 Clipboard Hijacker Delivered via Bincrypter-Based Loader New A0Backdoor Linked to […

Security Affairs Malware newsletter includes a collection of the best articles and research on malware in the international landscape

Malware Newsletter

New BoryptGrab Stealer Targets Windows Users via Deceptive GitHub Pages

Inside Coruna: Reverse Engineering a Nation-State iOS Exploit Kit From JavaScript 

ClipXDaemon: Autonomous X11 Clipboard Hijacker Delivered via Bincrypter-Based Loader

New A0Backdoor Linked to Teams Impersonation and Quick Assist Social Engineering

VOID#GEIST: Stealthy MultiStage Python Loader with Embedded Runtime Deployment, Startup Persistence, and Fileless Early Bird APC Injection into explorer.exe  

New ‘Zombie ZIP’ technique lets malware slip past security tools

Silence of the hops: The KadNap botnet

BeatBanker: A dual‑mode Android Trojan  

BlackSanta EDR-Killer A Silent Threat Targeting Recruitment Workflows 

TAXISPY RAT : Analysis of TaxiSpy RAT – Russian Banking – Focused Android Malware with Full Remote Control

A Slopoly start to AI-enhanced ransomware attacks  

Oblivion: The New $300 Android RAT That Beats Every Major Phone Manufacturer’s Security      

APT36: A Nightmare of Vibeware

Pixel Perfect: Sold Extension Injects Code Through Pixel  

Sednit reloaded: Back in the trenches

VENON: The First Brazilian Banker RAT in Rust  

Internet malware propagation: Dynamics and control through SEIRV epidemic model with relapse and intervention

Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection

Representation-Centric Approach for Android Malware Classification: Interpretability-Driven Feature Engineering on Function Call Graphs

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger

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Pierluigi Paganini

(SecurityAffairs – hacking, newsletter)

Source: SecurityAffairs
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