Phishing URL Detection and Reporting System Using Machine Learning Approach

Phishing attacks continue to pose a threat to the internet users due to the consequences they bring, including the compromise of sensitive information, financial harm and reputational damage. In this research paper, we propose to create a free access, ad-free and non-profit website that uses machine learning algorithms to identify phishing URLs. This website shall be designed to provide users with a reliable and user-friendly tool to evaluate the legitimacy of the URLs they come from. Using different data-sets containing phishing and legitimate URLs, extract important features to train the classification model. The model will be embedded in website, which will evaluate user-submitted URLs and provides true phishing detection. There exists report, which claims on the website where users can contribute to the collective fight against phishing attacks by reporting phishing URLs they encountered. In this way users actively contribute to the development of the and improved efficiency of the system.