SpamAssassin SpamAssassin is a mail filter which attempts to identify spam using a variety of mechanisms including text analysis
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SpamAssassin Description

SpamAssassin is a mail filter which attempts to identify spam using a variety of mechanisms including text analysis SpamAssassin is a mail filter which attempts to identify spam using a variety of mechanisms including text analysis, Bayesian filtering, DNS blocklists, and collaborative filtering databases.Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application. SpamAssassin uses a wide range of heuristic tests on mail headers and body text to identify spam, also known as unsolicited commercial email.SpamAssassin typically differentiates successfully between spam and non-spam in between 95% and 100% of cases, depending on what kind of mail you get and your training of its Bayesian filter.Specifically, SpamAssassin has been shown to produce around 0.9% false negatives (spam that was missed) and around 0.1% false positives (ham incorrectly marked as spam). See the rules/STATISTICS*.txt files for more information.Here are some key features of "SpamAssassin":· Wide-spectrum: SpamAssassin uses a wide variety of local and network tests to identify spam signatures. This makes it harder for spammers to identify one aspect which they can craft their messages to work around.· Free software: it is distributed under the same terms and conditions as other popular open-source software packages such as the Apache web server.· Easy to extend: Anti-spam tests and configuration are stored in plain text, making it easy to configure and add new rules.· Flexible: SpamAssassin encapsulates its logic in a well-designed, abstract API so it can be integrated anywhere in the email stream. The Mail::SpamAssassin classes can be used on a wide variety of email systems including procmail, sendmail, Postfix, qmail, and many others.· Easy Configuration: SpamAssassin requires very little configuration; you do not need to continually update it with details of your mail accounts, mailing list memberships, etc. Once classified, site and user-specific policies can then be applied against spam. Policies can be applied on both mail servers and later using the user's own mail user-agent application. What's New in This Release: · bug 5775: newer gpg versions require keys to be cross-certified (backsig). Did a cross-verify on our sa-update public key and re-exported. (If you are already seeing "GPG validation failed" errors from sa-update, see http://wiki.apache.org/spamassassin/SaUpdateKeyNotCrossCertified .) · bug 5899: add perl version string to the storage area for compiled rulesets, to avoid crashes when perl is upgraded between major versions (e.g perl 5.8.x to 5.10.0) and the ABI breaks · bug 5496, bug 5910: clear some FORGED_MUA_OUTLOOK false positives, particularly on the new-format Message-ID generated by the Outlook Express version used in Windows XP service pack 3 · bug 5730: when using Postgres >= 8.1.0 with Bayes, this error occurs: 'WARNING: nonstandard use of in a string literal at character'. fix · bug 5769: fix 'sa-compile: eval failed: Can't find label NO' error, caused in rare circumstances when sa-compile attempted to deal with rules written using 'replace_rules' features · bug 5858: fix circular reference memory leak caused by some messages · bug 5815: update 2TLD list to include .rs CCTLD · bug 4706: remove HG_HORMOME rules due to poor performance · bug 5835: typo in POD docs for SPF plugin; thanks to Benny Pedersen for fix · bug 5839: a missing or failed eval rule function could mistakenly count as a rule hit, fixed · trivial bugfix for the VBounce ruleset: __BOUNCE_FROM_DAEMON incorrectly used instead of *, so some From addresses were not being recognised as bounce senders

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