Cybercrime is one of the challenges of the 21st century. One of the cybercrimes is phishing attacks and one of them is Phishing Websites. There are thousands of phishing website, which aims to bluffer users and stealing important information, Such as account information and banking information. In this paper, we proposed a combination of two methods to detect website phishing. This first method is to make a list (MVWL) of popular websites and their IP addresses. However, the used method focuses on comparing a screenshot taken for both the popular website as well as the Doubtful one. While the second method focuses on analyzing website features to find out if, the website trusted or not. Where, the features have been selected in this method deduce from reviewing other researcher’s works, as well as our studying for the data set that we examined.
Volume 10 | Issue 11
Pages: 418-424