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Phishing is a security attack that involves the creation of websites that mimic legitimate websites, and these fraud websites bring Internet users a lot of loss. Traditional anti-phishing methods usually worked in a passive way by receiving report data of user. Due to the growing shorter survival time of phishing, this kind of methods is not efficient enough to find and take down new phishing attacks. In this paper, we propose an Intelligent Phishing Detection (IPD) system to address phishing detection problem actively. Specially, IPD first generates the detection dataset from the global massive domain name registration data automatically; then it applies the Naïve Bayes algorithm which is optimized by position-based features to achieve the high precision detection; finally, in order to find more phishing websites, IPD expands detection dataset by generating Uniform Resource Locator (URL) templates based on the …