March 12, 2024, 4:11 a.m. | Sayak Saha Roy, Poojitha Thota, Krishna Vamsi Naragam, Shirin Nilizadeh

cs.CR updates on arXiv.org arxiv.org

arXiv:2310.19181v2 Announce Type: replace
Abstract: The advanced capabilities of Large Language Models (LLMs) have made them invaluable across various applications, from conversational agents and content creation to data analysis, research, and innovation. However, their effectiveness and accessibility also render them susceptible to abuse for generating malicious content, including phishing attacks. This study explores the potential of using four popular commercially available LLMs, i.e., ChatGPT (GPT 3.5 Turbo), GPT 4, Claude, and Bard, to generate functional phishing attacks using a series …

abuse accessibility advanced analysis applications arxiv bard capabilities chatbots chatgpt claude content creation cs.cl cs.cr data data analysis google google bard innovation language language models large llms phishing phishing scams research scams

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