Antivirus Evasion: Techniques Hackers Use and How to Stay Protected

Antivirus evasion refers to the methods cybercriminals use to bypass traditional security software and launch successful attacks. Modern malware employs advanced tactics such as code obfuscation, polymorphism, encryption, and fileless execution to avoid detection. Hackers also use AI-driven strategies to adapt malware behavior in real time, making evasion even harder to stop. These techniques allow malicious programs to remain undetected while stealing data or disrupting systems. To stay secure, organizations must adopt layered security measures, including behavior-based detection, endpoint protection, and continuous monitoring. Understanding antivirus evasion is essential for strengthening defenses against today’s evolving cyber threats.

AI-Powered Malicious Apps Using Advanced Obfuscation to Evade Antivirus Detection

AI-Powered Malicious Apps Using Advanced Obfuscation to Evade Antivirus Detection

Ravi Jain
Mobile cybersecurity, highlighting a sophisticated Android malware campaign that leverages artificial intelligence for advanced code obfuscation. This malicious software disguises itself as legitimate package tracking services to trick users into granting permissions, subsequently harvesting sensitive data undetected. A key innovation involves the malware using AI to transform code into randomized Korean characters to evade traditional antivirus software, while also exfiltrating stolen information through compromised but trusted legitimate websites. The text concludes by emphasizing the inadequacy of standard security measures against these adaptive threats and promotes the comprehensive, multi-layered cybersecurity services offered by Technijian to combat such AI-powered mobile risks. ... Read More
AI Malware Successfully Bypasses Microsoft Defender: What This Means for Cybersecurity in 2025

AI Malware Successfully Bypasses Microsoft Defender: What This Means for Cybersecurity in 2025

Ravi Jain
examines the emergence of AI-powered malware and its implications for cybersecurity. It highlights research demonstrating AI malware's ability to bypass Microsoft Defender, though currently at a modest 8% success rate, indicating limitations in current AI models. The sources discuss the resources required to develop such malware and emphasize that traditional attack vectors remain significant threats. Ultimately, the text underscores the ongoing arms race between cyber defenders and attackers, stressing the need for adaptive and comprehensive security strategies. ... Read More