Review of Machine Learning Approaches and Challenges for Detecting Phishing Attacks

Currently, the practise of "phishing" involves sending emails that seem to be from reputable companies to deceive recipients into divulging personal information, including passwords and credit card numbers. In “phishing” an attacker delivers a malicious link that is typically passed off as a legitimate one via spam emails or social media. This study includes a literature overview to fully comprehend the phishing assault(s), in this paper reviewed machine learning, deep learning, hybrid learning, and scenario-based approaches for phishing attack detection. In this paper, comparative analysis performed on various phishing detection methods