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Cybersecurity researchers have uncovered a sophisticated malware campaign targeting Brazilian users through WhatsApp, delivering a dangerous new banking Trojan dubbed “Maverick.” The threat has already blocked over 62,000 infection attempts…
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The GhostBat RAT campaign leverages diverse infection vectors—WhatsApp, SMS with shortened URLs, GitHub-hosted APKs, and compromised websites—to distribute malicious Android droppers. Once installed, these droppers employ multi-stage workflows, deliber…
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A novel phishing campaign has emerged targeting Colombian users by abusing judicial notifications and weaponizing Scalable Vector Graphics (SVG) files. This sophisticated attack begins with a carefully crafted Spanish-language email impersonating the “…
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As cybercrime continues to evolve, new adversaries and innovative tactics challenge defenders daily. The recently emerged threat group TA585 exemplifies this shift, deploying sophisticated malware campaigns that highlight the changing nature of the cyb…
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The online cybercrime marketplace, Russian Market, has evolved from selling Remote Desktop Protocol (RDP) access to becoming one of the most active underground hubs for information-stealing malware logs. Stolen user credentials are traded daily, and ea…
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Cybersecurity researchers have uncovered a sophisticated new campaign targeting WhatsApp users in Brazil with self-propagating malware designed to steal banking credentials and cryptocurrency exchange login information. The attack, first detected on Se…
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McAfee’s Threat Research team recently uncovered a sophisticated new Astaroth campaign that represents a significant evolution in malware infrastructure tactics. This latest variant has abandoned traditional command-and-control (C2) server depend…
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Security researchers have identified a new, active campaign of the Stealit malware that uses an experimental Node.js feature to infect Windows systems. According to a report from FortiGuard Labs, threat actors are leveraging Node.js’s Single Exec…
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LLM-enabled malware poses new challenges for detection and threat hunting as malicious logic can be generated at runtime rather than embedded in code. Our research discovered hitherto unknown samples, and what may be the earliest example known to date …
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Cybersecurity researchers have identified what is believed to be the earliest known instance of malware that leverages a Large Language Model (LLM) to generate malicious code at runtime. Dubbed ‘MalTerminal’ by SentinelLABS, the malware uses OpenAI’s GPT-4 to dynamically create ransomware code and reverse shells, presenting a new and formidable challenge for detection and threat […] The post LLM-enabled MalTerminal Malware Leverages GPT-4 to Generate Ransomware Code appeared first on Cyber Security News.
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