Survey paper: Taxonomy of website anti-phishing solutions

Nowadays web users are vulnerable to various cyber-attacks, among these attacks we find phishing. Phishing is a social engineering cyberattack, which targets naive online users tricking into revealing sensitive information such as username, password, social security number or credit card number, etc, based on imitating legitimate websites or sending a malicious URL in an email to deceive users. Several anti-phishing solutions have been developed such as black/whitelist, visual similarity, machine learning methods ... etc, but phishing attacks keep on growing, which has made phishing detection a primary concern of developers. In this paper, we present a taxonomy of an anti-phishing solutions. The classification helps in understanding various anti-phishing approaches and algorithms developed for phishing detection.