Abstract: A method and system for automated identification of phishing, phony, and malicious web sites are disclosed. According to one embodiment, a computer implemented method, comprises receiving a first input, the first input including a universal resource locator (URL) for a webpage. A second input is received, the second input including feedback information related to the webpage, the feedback information including an indication designating the webpage as safe or unsafe. A third input is received from a database, the third input including reputation information related to the webpage. Data is extracted from the webpage. A safety status is determined for the webpage, including whether the webpage is hazardous by using a threat score for the webpage and the second input, wherein calculating the threat score includes analyzing the extracted data from the webpage. The safety status for the webpage is reported.

Abstract: A method and system for automated identification of phishing, phony, and malicious web sites are disclosed. According to one embodiment, a computer implemented method, comprises receiving a first input, the first input including a universal resource locator (URL) for a webpage. A second input is received, the second input including feedback information related to the webpage, the feedback information including an indication designating the webpage as safe or unsafe. A third input is received from a database, the third input including reputation information related to the webpage. Data is extracted from the webpage. A safety status is determined for the webpage, including whether the webpage is hazardous by using a threat score for the webpage and the second input, wherein calculating the threat score includes analyzing the extracted data from the webpage. The safety status for the webpage is reported.