Beyond Text: Nefarious Actors Harnessing LLMs for Strategic Advantage

In the pervasive landscape of digital advancements, Large Language Models (LLMs) emerge as an indispensable force, orchestrating efficiency and productivity. Yet, as the influence of LLMs extends, so does the array of emerging threats. Their potential for misuse by nefarious actors poses significant challenges to cybersecurity and societal well-being. This paper investigates the phenomenon of malicious actors harnessing LLMs for strategic advantage, going beyond conventional uses of these models. Through a comprehensive review of literature, case studies, and analysis of real-world examples, we scrutinize the multifaceted ways in which LLMs are leveraged for malicious intent. This includes the manipulation of public opinion through the generation of deceptive content, the orchestration of social engineering attacks using sophisticated language-based techniques, and the facilitation of cybercrimes such as phishing, password cracking, typosquatting, and malware propagation.