KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

arXiv:2403.02253v1 Announce Type: cross
Abstract: Phishing attacks have inflicted substantial losses on individuals and businesses alike, necessitating the development of robust and efficient automated phishing detection approaches. Reference-based phishing detectors (RBPDs), which compare the logos on a target webpage to a known set of logos, have emerged as the state-of-the-art approach. However, a major limitation of existing RBPDs is that they rely on a manually constructed brand knowledge base, making it infeasible to scale to a large number of brands, …

abstract arxiv attacks automated businesses cs.ai cs.cl cs.cr cs.lg detection development graphs knowledge knowledge graphs language language models large language large language models logos losses multimodal phishing phishing attacks phishing detection reference robust set type