Phishing Website Detection Using GUI Implementation

This work proposes a system that combines machine learning for phishing website detection with a user-friendly graphical user interface (GUI). The machine learning model is trained on a comprehensive dataset, analyzing URL characteristics, website content analysis, and security certificates. The system's user-friendliness is achieved through a well-designed GUI, which allows users to enter a website URL and the model analyzes the data to classify the website as legitimate or a potential phishing attempt. This system offers a robust, automated method for detecting phishing websites and eliminates the need for technical expertise, empowering users to make informed decisions about interacting with the website. Keywords—phishing website detection,Legitimative websites,Digital landscape,Machine learning,GUI,URL,Model,Features.