PREVENTING FROM PHISHING ATTACK BY IMPLEMENTING URL PATTERN MATCHING TECHNIQUE IN WEB

Phishing is an effort to get personal information like username, password and bank transaction details in order to hack our personal accounts, by hiding original sites in a web browser. Existing detection process uses a content based processing method to find the phishing attacks. This approach finds web spoofing by checking the matches between the original and spoofed web sites. Original site often change their websites for marketing purpose so the pattern of original websites need to be updated frequently which is not feasible. We propose a scheme which detects phishing attack by matching the user requested URLs with a database of blacklist and whitelist. The backlist holds the attack URL patterns and the white list hold the original URL patterns. We also create a user interaction based process to get approval of vulnerable URL and create a direct block list to detect the phishing attacks