A Review: Phishing Detection using URLs and Hyperlinks Information by Machine Learning Approach

In the last few years, many fake websites have developed on the World Wide Web to harm users by stealing their confidential information such as account ID, user name, password, etc. Phishing is the social engineering attacks and currently attacks on mobile devices. That might result in the form of financial loses. In this paper, we described many detection techniques using URL, Hyperlinks features that can be used to differentiate between the defective and non-defective website. There are six main approaches such as heuristic, blacklist, Fuzzy Rule, machine learning, image processing, and CANTINA based approach. It delivers a good consideration of the phishing issue, a present machine learning solution, and future study about Phishing threats by using machine learning Approach.