Phishing Website Detection Using Machine Learning

In the digital age, the emergence of online risks, especially phishing websites, has become a major worry. Phishing websites are created with the intention of tricking users into divulging personal information, which frequently results in losses of money and security violations. This study uses web browser extensions and machine learning algorithms to provide a new method for phishing website detection to fight this threat. This research suggests creating a web browser add-on that watches over people in real time while they explore the internet. An extensive dataset of well-known phishing websites, trustworthy websites, and other dubious web pages was used to train the machine learning model that is included into the plugin. Through an examination of a website's composition, content, and user behavior, an additional line of defense against phishing attempts is offered by the extension's ability to recognize and notify users of potentially dangerous websites.