Pabasara, R. A. H. DAtimorathanna, D. NRanaweera, T. SPerera, J. R2022-04-282022-04-282020-12-05Pabasara, Dhanushka Niroshan Atimorathanna, Tharindu Shehan Ranaweera, Jayani Rukshila Perera, R. (2020). NoFish; Total Anti-Phishing Protection System. Global Journal Of Computer Science And Technology, . Retrieved from https://computerresearch.org/index.php/computer/article/view/19840975-4172https://rda.sliit.lk/handle/123456789/2090Phishing attacks have been identified by researchers as one of the major cyber-attack vectors which the general public has to face today. Although software companies launch new anti-phishing products, these products cannot prevent all the phishing attacks. The proposed solution, “No Fish” is a total anti-phishing protection system created especially for end-users as well as for organizations.In this paper, a realtime anti-phishing system, which has been implemented using four main phishing detection mechanisms, is proposed. The system has the following distinguishing properties from related studies in the literature: language independence, use of a considerable amount of phishing and legitimate data, real-time execution, detection of new websites, detecting zero-hour phishing attacks and use of feature-rich classifiers, visual image comparison, DNS phishing detection, email client plug in and specially the overall system has designed to the levelbased security architecture to reduce the time-consumption.encyber-attackanti-phishinginformation securitymachine learningvisual similarityfeature extractionnatural language processingArticle