Phishing Email Detection Using Large Language Models
A new research paper explores the use of Large Language Models (LLMs) for detecting phishing emails, proposing a framework called LLMPEA. The study evaluates the effectiveness of frontier LLMs such as GPT-4o, Claude Sonnet 4, and Grok-3 in identifying various phishing attack vectors, including prompt injection and multilingual attacks. While LLMs demonstrated over 90% accuracy in detection, the research also highlights their susceptibility to adversarial exploitation, providing crucial insights for real-world LLM-based email security systems. AI
IMPACT LLMs can achieve high accuracy in phishing detection but require hardening against adversarial attacks.