SpamSieve 2.1 is now available.
SpamSieve gives you back your inbox by bringing powerful Bayesian spam
filtering to popular e-mail clients. It learns what your spam looks like,
so it can block nearly all of it. It looks at your address book and learns
what your good messages look like, so it won’t confuse them with spam.
Other spam filters get worse over time as spammers adapt to their rules;
SpamSieve actually gets better over time as you train it with more
messages. SpamSieve doesn’t delete any messages–it only marks them in your
e-mail client–so you’ll never lose any mail. SpamSieve works with any
number of mail accounts, of whatever types are supported by your e-mail
software (e.g. POP, IMAP, Hotmail, AOL).
SpamSieve now requires Mac OS X 10.2.6 or later. To update from SpamSieve
2.x, just replace the old application file with the new one. There’s no
need to re-copy the scripts or plug-in.
Entourage Users: SpamSieve can now read the Entourage address book
directly. If you are using Entourage and the criterion for your SpamSieve
rule is “From Is not in Address Book”, you can change the criterion to All
Messages. Then go to SpamSieve’s Preferences window, click Load, and make
sure that Use Entourage address book is checked.
New in this Version:
* Added support for Apple Mail POP accounts. POP messages can be
marked as junk and colored, but (due to limitations in the present
version of Apple Mail) they cannot be moved to another mailbox.
* Added a Training Tip window that gives advice on how to
improve SpamSieve’s accuracy, based on the current state of
the corpus and preferences.
* Rules in the whitelist and blocklist are no longer limited to
just matching sender addresses. They can now match a variety of
message fields (To, CC, Subject, etc.), as well as the message
body. In addition to exact matches, rules now support the
following match styles: contains, starts with, ends with
(useful for matching domains), and Perl-compatible regular
expressions. You can now edit rules and add new rules manually (as
opposed to automatically, as a result of training SpamSieve with a
* When trained with a good message from a mailing list, SpamSieve
will automatically create a whitelist rule based on a mailing list
header, if present.
* SpamSieve can now read in the Entourage address book and use it
as a whitelist. Thus, the Entourage rule can now give SpamSieve
all the messages, not just the ones that were from unknown
senders. This means that SpamSieve can now accurately notify the
user when non-spam messages are received. Also, the statistics it
keeps will be more complete.
* Improved the accuracy of the Bayesian classifier when the corpus
* More Changes:
Requirements: Mac OS X 10.2.6 or later (10.3.1 recommended)
Price: $25; free update for owners of previous versions
More Info: (http://www.c-command.com/spamsieve/)
Contact: Michael Tsai (firstname.lastname@example.org)