Phishsifter: An Enhanced Phishing Pages Detection Method Based on the Relevance of Content and Domain.

A Phishing website is used to steal users’ private information. The accelerated development of phishing kits has made it convenient to create such websites, which has become a persistent security threat. In this article, we propose a novel method to detect phishing webpages based on the relevance of the webpage content and domain. For phishing webpages whose domain is relevant to the content, we use the target identification method to identify the target brand. We use two components, the website logo and domain, to identify phishing sites, which increases the accuracy of identification. For irrelevant websites, we use a feature-based approach to distinguish phishing webpages. The experiment shows that the accuracy of target identification is 97.21%, while the false positive rate is 1.47%. The accuracy of the feature-based method is 98.32%. The proposed scheme can meet the needs of practical applications and provide an interpretation of the classification results.