Detecting Phishing Websites Based on Machine Learning Techniques

Abstract

Phishing is one of the most common threats to cybersecurity in the modern world. It is to this regard many look to emergent technologies such as artificial intelligence and machine learning as preventative measures. By using such preventative measures many hope to reduce the potential for data breaches and other harmful occurrences linked to phishing. To that extent this paper investigates creating a Manifest V3 extension that can work alongside a trained machine learning model to give users more information about which sites are potentially hazardous.