Fake Website Prediction Using Random Forest

Fake websites are now producing billions of dollars in fraud at the cost of innocent Internet users. Users will have a difficult time manually identifying these websites as phoney due to their design and appearance. A large number of people buy things online and pay for them using various online payment platforms. Several websites require users to enter sensitive data in order to authenticate. However, some phishing websites make use of this information for nefarious purposes. Automated detection systems have arisen as a means of countering bogus websites, although the most of them are rather basic in terms of fraud and detecting methods. Here, in this project an website is been created for the users with the algorithm having an accuracy of 96% for detecting the website they are using in their daily routine.