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SpamAssassin Group
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.
Using its rule base, it uses a wide range of heuristic tests on mail headers and body text to identify "spam", also known as unsolicited commercial email.
Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application.
SpamAssassin typically differentiates successfully between spam and non-spam
Using its rule base, it uses a wide range of heuristic tests on mail headers and body text to identify "spam", also known as unsolicited commercial email.
Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application.
SpamAssassin typically differentiates successfully between spam and non-spam
What's New
Version 3.3.1:
- Added a new URIBL network rule (URIBL_DBL_SPAM, for the
Spamhaus DBL).
Requirements
- PPC / Intel
- Mac OS X 10.2 or later.
- Perl.
SpamAssassin User Discussion (Write a Review)
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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.
Using its rule base, it uses a wide range of heuristic tests on mail headers and body text to identify "spam", also known as unsolicited commercial email.
Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application.
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.
Using its rule base, it uses a wide range of heuristic tests on mail headers and body text to identify "spam", also known as unsolicited commercial email.
Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application.
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.
Copyright © 2012 MacUpdate LLC
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Anonymous reviewed on 20 Dec 2004
Anonymous reviewed on 22 Sep 2004
Constantin reviewed on 22 Sep 2004
The new approach of blacklisting spam according what web-sites it is pointing to is brilliant, as it makes it that much harder for internet scum to succeed overcoming spam filters.
Anonymous reviewed on 05 Aug 2004
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Joel Mueller reviewed on 09 Dec 2003
I only wish that SpamAssassin would be built to support client-side configuration based on a single domain so that shared hosting companies could more easily allow their clients to configure it.