Spamizer: An approach to handle web form Spam

The Spam Emails are regularly causing huge losses to business on a regular basis. The Spam filtering is an automated technique to identity SPAM and HAM (Non-Spam). The Web Spam filters can be categorized as: Content based spam filters and List based spam filters. In this research work, we have studied the spam statistics of a famous Spambot `Srizbi'. We have also discussed different approaches for Spam Filtering and finally proposed a new algorithm which is made on the basis of behavioral approaches of Spammers and to restrict the budding economical growth of Spam generating company's. We have used the hidden Honeypot and a Honeytrap module to minimize the spam generated from Contact and Feedback forms on public and social networking CMS websites.