Detection of Spoofing Websites

Abstract

Spoofing websites are fake websites those are created by hackers or intruders to get real information from the users. They look like real websites. With the emerging use of internet, there is an increase in the number of people who are depending on online services to shop, check their banking account, pay their bills or even play with anonymous friends. The major security drawback in today’s world is spoofing attacks. It is a kind of attack through emails. The goal is to trick the email recipient into believing that the message is something they want or need a request from their bank, for instance or a note from someone in their company and to click a link or download an attachment will proceed with the collection of dataset, pre-processing of dataset and URL. The model is trained by Machine Learning algorithms. Finally, we analyze whether the website is legitimate or not legitimate. The analysis is given in confusion matrix and accuracy of all algorithms.