A REVIEW ON PHISHING DETECTION APPROACHES?

Phishing is web-based attack that uses social engineering techniques to exploit internet users and acquire sensitive data. Most phishing attacks work by creating fake version of the real site's web interface to gain user's trust. Despite the fact that these phishing sites look identical or nearly identical to real sites they imitate, user studies have shown that they ignore browser-based indicators and often use the appearance of site to judge the authenticity of sites, just as they use the appearance of physical sites to judge their authenticity. To protect users against phishing, various anti-phishing techniques have been proposed that follows different strategies. We applied different methods for detecting phishing using known as well as new features. In this paper we used the different approaches for detecting phishing websites such as heuristic approach, Blacklist-Whitelist based approach, Fuzzy rule based approaches, Machine learning approaches, CANTINA based approaches, Image based approaches, etc.