Phishing websites are taking a toll in today's Internet-infused world. These types
of websites try to attack the classified information of the user on the Internet database,
masquerading as the trusted website. They even use the logo and the website address
of the original website to come off as the original one to the user. In this project,
we deal with the classification of such websites from the real ones using the standards
set by W3C. The Moth-flame algorithm is used as a learning algorithm to optimize the
feedforward neural network and to classify the websites.
