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The spam mails are used by spammer which amounts to be a headache to the internet users and organizations using online. Rapid growth rate of the use of the internet has dramatically increased the spam mails. More methods are adopted for filtering spam. This approach is to identify the spam mails using spam word ranking and fuzzy rules. This work classifies the emails with the help of word ranking database and sender's mail address database. And the ranks are used based on the degree of the threat that each word possess. For this purpose the work has considered the subject and content of the email. In addition this effort includes the sender's mail address feature for the classification of the spam mail.