Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites. Most of these kinds of Web pages have high visual similarities to scam their victims. Some of these kinds of Web pages look exactly like the real ones. Unwary Internet users may be easily deceived by this kind of scam. Victims of phishing Web pages may expose their bank account, password, credit card number, or other important information to the phishing web page owners. The impact is the breach of information security through the compromise of confidential data and the victims may finally suffer losses of money or other kinds. Phishing website is a very complicate and complex issue to understand and to analyze, since it is joining technical and social problem with each other for which there is no known single silver bullet to solve it entirely. The motivation behind this project is to create a resilient and effective method that uses fuzzy logic to quantify and qualify all the website phishing characteristics and factors in order to detect phishing websites to assess whether phishing activity is taking place or not. The approach described here is to apply fuzzy logic modeling to assess website phishing risk on the 27 characteristics and factors which stamp the forged website. The essential advantage offered by fuzzy logic techniques is the use of linguistic variables to represent Key Phishing Characteristic Indicators and relating website phishing probability.