Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection
Michael Schesny, Nico Lutz, Thomas Jägle, Felix Gerschner, Marco Klaiber, Andreas Theissler · 2024
Phishing attacks continue to be a major cyber security problem, leading to an increasing number of studies looking at defense strategies. Therefore, we propose an LLM-based phishing detection approach that enhances work by Koide et al. by extending the prompts with URLs, adapting the Chain-of-Thought (CoT) and incorporating additional parameters. Our approach calculates a phishing score, which is used for the classification of websites as either phishing or non-phishing. Subsequently, the results of our research should enable the development of more effective LLM-based phishing detection systems and aim to improve cyber security defenses against this threat.