Large Language Models Spot Phishing Emails with Surprising Accuracy: A Comparative Analysis of Performance

arXiv:2404.15485v1 Announce Type: new
Abstract: Phishing, a prevalent cybercrime tactic for decades, remains a significant threat in today's digital world. By leveraging clever social engineering elements and modern technology, cybercrime targets many individuals, businesses, and organizations to exploit trust and security. These cyber-attackers are often disguised in many trustworthy forms to appear as legitimate sources. By cleverly using psychological elements like urgency, fear, social proof, and other manipulative strategies, phishers can lure individuals into revealing sensitive and personalized information. Building …

abstract accuracy analysis arxiv businesses comparative analysis cs.ai cs.cl cyber cybercrime digital digital world emails engineering exploit language language models large language large language models modern organizations performance phishing security social spot targets technology threat trust type world