Version 2.1 of SpamSieve is now available.

This is a free update that includes the following changes:

• 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 message).
• 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 is unbalanced.
• Made a variety of low-level changes to improve SpamSieve’s accuracy, for instance: adjusted the list of headers that are analyzed and how words are tokenized.
• The Apple Mail Add Spam script now has an option to control whether the messages are moved to the Spam folder.
• The Entourage Add Good script now moves messages to the inbox if they’re located in the Spam folder.
• Mailsmith users can now auto-train using only spam or good messages by turning off training in Mailsmith and turning on one of the auto-train checkboxes in SpamSieve.
• Improved the importing of mbox files that do not have blank lines between the messages, such as some Eudora mailboxes. Fixed a bug where the mbox parser could crash if a message had length zero. Also, SpamSieve now shows a progress bar while counting the number of messages that will be imported.
• Improved the corpus and rule list displays. You can now enter and leave editing mode by typing Return. Type-ahead works better; for instance, if you type “g” and there are no rows that start with “g,” it will look for one that starts with “f.” When you delete a word or rule, you can cancel out of the confirmation sheet by typing Escape. To avoid the confirmation sheet entirely, you can delete using Command-Delete instead of Delete. When a word or rule is deleted, SpamSieve selects a nearby rule so that you don’t lose your place. When deleting many words at once, SpamSieve no longer shows a progress window for deletions that will not take very long.
• Entering the name and serial number to personalize SpamSieve is now more foolproof: SpamSieve strips leading and trailing whitespace, and it detects when you enter a coupon code in the serial number field. Fixed regression where SpamSieve rejected names containing non-ASCII characters. In addition, there’s a new button for quickly redeeming coupons.
• Updated to the latest eSellerate SDK so that purchasing SpamSieve from within the application is faster.
• SpamSieve now requires Mac OS X 10.2.6 or later.
• Fixed bug where dates entered in the Statistics window were sometimes parsed in GMT instead of the local time zone, thus causing the date to be off by a few hours.
• Improved the reliability and user interface of the crash reporter.
• No longer crashes when parsing certain non-RFC822-compliant Eudora messages.

For more information, please see the SpamSieve Manual.