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Pierluigi Paganini<\/a>\n\t\t\t\t\t\t\t
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March 15, 2026<\/p>\n\t\t\t\t\t\t![\"\"\/](\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2026\/03\/SecurityAffairs-malware-newsletter-2.png\")
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Security Affairs Malware newsletter includes a collection of the best articles and research on malware in the international landscape<\/p>\n
Malware Newsletter<\/p>\n
New BoryptGrab Stealer Targets Windows Users via Deceptive GitHub Pages<\/a><\/p>\n Inside Coruna: Reverse Engineering a Nation-State iOS Exploit Kit From JavaScript<\/a>\u00a0<\/p>\n ClipXDaemon: Autonomous X11 Clipboard Hijacker Delivered via Bincrypter-Based Loader<\/a><\/p>\n New A0Backdoor Linked to Teams Impersonation and Quick Assist Social Engineering<\/a><\/p>\n VOID#GEIST: Stealthy MultiStage Python Loader with Embedded Runtime Deployment, Startup Persistence, and Fileless Early Bird APC Injection into explorer.exe<\/a>\u00a0\u00a0<\/p>\n New \u2018Zombie ZIP\u2019 technique lets malware slip past security tools<\/a><\/p>\n Silence of the hops: The KadNap botnet<\/a><\/p>\n BeatBanker: A dual\u2011mode Android Trojan<\/a>\u00a0\u00a0<\/p>\n BlackSanta EDR-Killer A Silent Threat Targeting Recruitment Workflows<\/a>\u00a0<\/p>\n TAXISPY RAT : Analysis of TaxiSpy RAT \u2013 Russian Banking \u2013 Focused Android Malware with Full Remote Control<\/a><\/p>\n A Slopoly start to AI-enhanced ransomware attacks<\/a>\u00a0\u00a0<\/p>\n Oblivion: The New $300 Android RAT That Beats Every Major Phone Manufacturer\u2019s Security<\/a>\u00a0\u00a0 \u00a0\u00a0\u00a0<\/p>\n APT36: A Nightmare of Vibeware<\/a><\/p>\n Pixel Perfect: Sold Extension Injects Code Through Pixel<\/a>\u00a0\u00a0<\/p>\n Sednit reloaded: Back in the trenches<\/a><\/p>\n VENON: The First Brazilian Banker RAT in Rust<\/a>\u00a0\u00a0<\/p>\n Internet malware propagation: Dynamics and control through SEIRV epidemic model with relapse and intervention<\/a><\/p>\n Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection<\/a><\/p>\n Representation-Centric Approach for Android Malware Classification: Interpretability-Driven Feature Engineering on Function Call Graphs<\/a><\/p>\n Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger<\/a><\/p>\n Follow me on Twitter:\u00a0@securityaffairs<\/a>\u00a0and\u00a0Facebook<\/a>\u00a0and\u00a0Mastodon<\/a><\/p>\n Pierluigi\u00a0Paganini<\/a><\/p>\n (SecurityAffairs<\/a>\u00a0\u2013\u00a0hacking,\u00a0newsletter)<\/p>\n \t\t\t\t\t\t\t\t\t\t\t