Book Image

SpamAssassin: A practical guide to integration and configuration

Book Image

SpamAssassin: A practical guide to integration and configuration

Overview of this book

As a busy administrator, you know Spam is a major distraction in todays network. The effects range from inappropriate content arriving in the mailboxes up to contact email addresses placed on a website being deluged with unsolicited mail, causing valid enquiries and sales leads to be lost and wasting employee time. The perception of the problem of spam is as big as the reality. In response to the growing problem of spam, a number of free and commercial applications and services have been developed to help network administrators and email users combat spam. Its up to you to choose and then get the most out of an antispam solution. Free to use, flexible, and effective, SpamAssassin has become the most popular open source antispam application. Its unique combination of power and flexibility make it the right choice. This book will now help you set up and optimize SpamAssassin for your network.
Table of Contents (24 chapters)
SpamAssassin
Credits
About the Author
About the Reviewers
Introduction
Glossary

Scoring


SpamAssassin uses the same scoring system for Bayesian filtering as for other rules. Rather than using a multiplier, where each percentage point adds a fixed amount to the score, the probabilities are banded, and the bands assigned individual scores. This allows for greater flexibility in scoring.

In the default SpamAssassin configuration, a number of levels or bands are identified, and each is assigned a different score. The default score values are relatively conservative—from 0% to 60% the scores are negligible and beyond that the bands are assigned an increasingly high score. This approach helps to avoid false-positives. There is no direct relationship between the Bayesian probability of an email being spam and the value that is added to SpamAssassin's score for the email as a result of that probability.

The scores for Bayesian rules can be edited as for other rules. Bayesian rules have names such as BAYES_00 and BAYES_10. The exact rules for a particular version can be retrieved...