Phishing Detection Using a Convolutional Neural Network Model on Website URLs

This paper aims to contribute to the body of knowledge towards finding alternative solutions for phishing detection by developing a novel approach to convert phishing URLs to images, using text-to-image generation methods, and demonstrate the applicability of CNNs on images generated from URLs, as an effective tool to classify phishing websites.