Analysis of the fake websites using active URL identifying method

In the modem era, the use of Internet has been increased a lot. The Internet made the world instant therefore anyone can access and get whatever they need. However, there are an existence of fraudulent website available on the Internet and nowadays fake websites has been one of a method in cyberattack to hijack. The main use of this fake website is to trick users into fraud or malicious attacks. Several websites require users to enter sensitive information for authentication process. However, some fake websites make use of this information for miserable purposes such as blackmailing, selling the data in the black market and more. Thus, this project is carried out to simulate on how the fake website can be done using BlackEye and analyse the variety links to determine which tools has a best accuracy to detect a fake website. Two scenarios are examined; one is to simulate on ow fake website can fraud victims, while the other hand is to compare which three main tools can detect on the fake websites with higher accuracy. By studying these aspects, improved security measures and protocols can be developed to ensure people browsing on the Internet without getting trapped into fake websites