POPFile
POPFile is an email classification tool that can be used to identify and isolate spam automatically.
Using Bayesian filtering, POPFile will "learn" what you teach it about sorting and storing desirable versus spam.
POPFile can be used as an SMTP proxy before you mail server to filter all your mail. This means you can use it with almost any email client. If you use an NNTP news reader, POPFile can classify news items as well.
POPFile uses a web interface for configuration and correction of decisions about spam.
Pros
* Works via web interface
* Can be used as a POP proxy as NNTP
* Uses Bayesian filtering
Cons
* Can be a memory and CPU hog
* Not optimized for enterprise use
SpamExperts
First the good news: SpamExperts requires virtually no configuration out of the box.
Now the bad news: the occasional re-configuration sometimes requires a reboot.
Beyond that, SpamExperts is pretty easy to use. It uses a combination of checksum analysis and a Bayesian filter. Not sure why it runs so slowly sometimes. I do know that getting your mail is going to be a two-step process: first SpamExperts has to go get and then examine your mail. It can be configured to do this in the background. Then, you have to actually retrieve the good mail that is left.
SpamExperts will also quarantine any email it is unsure about. That way you can go in and have a look, training the Bayesian filter to recognize it the next time.
Pros
* Works without any configuration
* Supports POP and IMAP accounts
Cons
* Slow to process and filter incoming mail
* Re-classifying mail isn't the easiest thing to do
* Cannot sort by spam score
* Changing some settings requires a reboot
Spamihilator
Spamihilator works as a proxy for POP and IMAP mail systems. This means that it will work with just about any email software and isolate spam before you download it.
It uses two techniques for catching spam: A Bayesian filter and something called Distributed Checksum Clearinghouse (DCC):
The basic logic in DCC is that most spam mails have several copies floating around. Any server using DCC that finds a spam email creates a checksum (adding up the basic components of the message and then creating a shorthand value). The server then posts this value to a central database. The next server receiving this email would get the DCC results and can more easily identify the email as spam.
The one thing Spamihilator doesn't do is mark spam for further filtering via your email client. More than two categories of mail for automatic classification would be nice, too.
Pros
* Spamihilator can be used with any email client because it works as POP or IMAP proxy.
* Combines multiple techniques for filtering spam which makes it very effective.
Cons
* No remote web-based administration
* Will not classify and/or categorize your good email
SpamPal
SpamPal uses an "a la carte" approach for eliminating spam. This means that you can mix and match various different techniques:
* Blacklists
With SpamPal installed you can choose from a variety of published lists of known spammer domains and servers. If you receive mail from one of these sources, it will be identified as spam and isolated.
* Whitelists (manual and automatic)
This is a list of contacts that you decide are acceptable to receive email from and should not be sent to the trash folder. SpamPal will help you build such a list automatically (faster) or manually (more accurate).
* Bayesian filtering
* Content scoring
SpamPal works with any email program because it acts as a proxy.
Pros
* Uses Bayesian filtering as well as many blacklists
* Works as a POP and IMAP proxy so you can use it with almost any email client
* Includes SpamAssassin (a server-side anti spam program that uses content-matching rules, as well as DNS-based, checksum-based and statistical filtering)
Cons
* SpamPal isn't fully immune to blacklist problems
* DNS blacklists are slow-performing and suck up a lot of bandwidth
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