Detection of Phishing Websites using Machine Learning

Abstract

Abstract: Malicious links or attachments through emails that can perform various functions, including capturing the victim's login credentials or account information is send by phishing. these victims, cause money loss, and identity theft is harmful. In these the phishing problem by developing an extension for the Google Chrome web browser we can contribute to solve this. we used JavaScript PL in development of these feature. a combination of Blacklisting and semantic analysis methods was used to preventing the attack. and the proposed solution was tested and it can be compared to existing approache.