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A rule in SpamAssassin is scoring email sent in 2010 as "grossly in the future" increasing the chances of false positives. A fix has been pushed into the update channel.
Apache SpamAssassin is an extensible email filter that is used to identify spam. Once identified, the mail can then be optionally tagged as spam for later filtering. It provides a command line tool to perform filtering, a client-server system to filter large volumes of mail, and Mail::SpamAssassin, a set of Perl modules allowing Apache SpamAssassin to be used in a wide variety of email systems.
Attackers are attempting to take control of mail servers, in particular those running Postfix and SpamAssassin, by exploiting a security vulnerability in the Milter plug-in
This article explains how you can download additional SpamAssassin rulesets resp. automatically update these rulesets with a shell script called RulesDuJour.
SpamAssassin will use tests to check mail headers, the body, IP Addresses and checksums to locate patterns that indicate SPAM. So SpamAssassin will use pattern-based scores for checking patters that are found in headers, the body or attachments and it will use network-based tests that use DNS lookups or access RBL lists.
The Haraka mail server is able to use common plugins like Spamassassin to enhance the features that it provides. Using Spamassassin with Haraka is easy to do and reduces the normal resources used by a mail server.
This tutorial describes how to scan emails for image spam with FuzzyOCR on a Fedora 12 server. FuzzyOCR is a plugin for SpamAssassin which is aimed at unsolicited bulk mail containing images as the main content carrier. Using different methods, it analyzes the content and properties of images to distinguish between normal mails (ham) and spam mails.
This tutorial describes how to scan emails for image spam with FuzzyOCR on a Debian Lenny server. FuzzyOCR is a plugin for SpamAssassin which is aimed at unsolicited bulk mail containing images as the main content carrier. Using different methods, it analyzes the content and properties of images to distinguish between normal mails (ham) and spam mails.
