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Abstract
As cybersecurity measures grow more sophisticated, so too do the threats they aim to counter. Among the most pernicious are obfuscated malware and zero-day exploits, which together pose critical challenges to distributed networks. This study investigates the rapid evolution and deployment of such threats, emphasizing the fusion of advanced evasion techniques with novel exploit strategies. By analyzing existing literature and data-driven case studies, we identify patterns, methods, and mitigation inefficiencies in contemporary detection frameworks. We further explore the growing reliance on obfuscation layers, polymorphic code, and delay-loading tactics that complicate static and dynamic analysis. This paper concludes with a call for AI-integrated and behavior-based defense mechanisms as traditional signature-based approaches continue to prove inadequate.
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