Towards Developing a Tool to Detect Phishing URLs: A Machine Learning Approach

Despite efforts to curb online fraud, there continues to be a significant proliferation of fraud in the online space. In the same vein, Phishing attacks are a significant and growing problem for users, and carrying out certain actions such as mouse hovering, clicking, etc., on malicious URLs may cause unwary users to unwittingly fall victim to identity theft and problems. In this paper, we propose a methodology that could be used towards developing an anti-phishing URL tool to thwart a phishing attack by either masking the potentially phishing URL or by alerting the user about the potential threat.