SpamSieve Manual
This manual is also available in SpamSieve’s Help menu, as a PDF (1.4 MB), as multi-page online help, and in French. There is also a video that shows how to install SpamSieve and use it with Apple Mail.
Contents
- 1 Introduction
- 2 Installing and Updating
- 3 Using SpamSieve
- 4 iPhone Spam Filtering
- 5 Customization
- 5.1 Rule Ordering
- 5.2 Whitelisting Previous Recipients
- 5.3 Customizing Using AppleScript
- 5.4 Apple Mail Customization
- 5.4.1 Change Settings (Apple Mail)
- 5.4.2 Spam Message Colors in Apple Mail
- 5.4.3 Automatically Deleting Old Spam Messages
- 5.4.4 Changing the Name of the Spam Mailbox
- 5.4.5 Marking Incoming Spam Messages
- 5.4.6 Separate Spam Mailboxes for Each Account
- 5.4.7 Redirecting Good Messages to Another Account
- 5.4.8 Setting up a Spam Filtering Drone
- 5.5 Entourage Customization
- 5.6 Eudora Customization
- 5.7 Mailsmith Customization
- 6 Menus
- 7 Preferences
- 7.1 Filters
- 7.1.1 Check for message in corpus
- 7.1.2 Use Mac OS X Address Book
- 7.1.3 Exclude my addresses
- 7.1.4 Use Entourage address book
- 7.1.5 Use SpamSieve whitelist
- 7.1.6 Use SpamSieve blocklist
- 7.1.7 Use Habeas Safelist
- 7.1.8 “ADV” messages are spam
- 7.1.9 Encoded HTML mail is spam
- 7.1.10 Use Bayesian classifier
- 7.2 Notification
- 7.3 Training
- 7.4 Advanced
- 7.1 Filters
- 8 Frequently Asked Questions
- 8.1 Why is SpamSieve not catching my spam?
- 8.2 Why is every message going to the Spam mailbox?
- 8.3 What information should I include when I report a problem?
- 8.4 How can I copy my training data to another machine?
- 8.5 Can I delete spam messages after training SpamSieve with them?
- 8.6 Why doesn’t my serial number work?
- 8.7 How can I hide SpamSieve’s Dock icon?
- 8.8 Can I use SpamSieve with more than one mail program at a time?
- 8.9 Why doesn’t SpamSieve launch when I open my mail program?
- 9 Legacy Mail Programs
- 10 Legal Stuff
- 11 Version History
1 Introduction
1.1 What Is SpamSieve?
SpamSieve is a Macintosh application that filters out unsolicited mass mailings, commonly known as “spam.” Previously, most people just ignored spam messages or created simple rules in their e-mail programs to filter them out. In recent years and months, the spam problem has gotten worse. Today’s spam is harder to detect, and there is more of it.
SpamSieve gives you back your inbox by bringing powerful Bayesian spam filtering to Mac e-mail programs. It’s quick and easy to control SpamSieve from within your mail program, and you can customize how it interacts with the rest of your message sorting rules.
SpamSieve 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 it adapts its filtering to your mail.
SpamSieve doesn’t delete any messages—it only moves them to a different folder in your e-mail program—so you’ll never lose any mail. By learning from the very messages that you receive, SpamSieve is able to block nearly all of your junk mail, without putting your good messages in the spam mailbox. SpamSieve works with any number of mail accounts, of whatever types are supported by your e-mail software (e.g. POP, IMAP, Hotmail, AOL). You can even use it with multiple e-mail programs at the same time, for instance if you use one for work mail and one for personal mail.
1.2 Identifying Spam
SpamSieve uses a variety of methods to identify spam messages, but by far the the most important is a statistical technique known as Bayesian analysis. For a more in-depth treatment of this technique applied to spam, see this article by Paul Graham and the papers it references. Bayesian spam filtering is highly accurate and adapts to new types of spam messages “in the field.”
First, you train SpamSieve with examples of your good mail and your spam. When you receive a new message, SpamSieve looks at how often its words occur in spam messages vs. good messages. Lots of spammy words mean that the message is probably spam. However, the presence of words that are common in your normal e-mail but rare in spam messages can tip the scale the other way. This “fuzzy” approach allows SpamSieve to catch nearly every spam message yet produce very few false positives. (A false positive is a good message mistakenly identified as spam. Most users consider false positives to be much worse than false negatives—spam messages that the user has to see.)
Because you train SpamSieve with your own mail, you have full control. If SpamSieve makes a mistake, you can train it with the message in question so that in the future it will do better. Further, since spammers don’t have access to the messages you trained SpamSieve with, they have no way of knowing how to change their messages to get through. Whereas other spam filters become less effective as spammers figure out their rules, SpamSieve becomes more effective over time because it has a larger corpus of your messages to work from.
1.3 Integration
Separate from the issue of identifying spam messages is the issue of how to prevent you from having to deal with them. There are basically six kinds of anti-spam software for doing this:
- Challenge-Response Systems
- This software requires people who send you mail to prove that they are human, and not an automated spam-sending program. After sending you a message, they get a reply asking them to complete a task that is easy for humans but hard for computers. Only then is the message passed on to you. This system is a nuisance for senders, delays your reception of the mail, and becomes impractical when sending messages to a group of people. Also, challenge response systems cannot deal with spoofed senders or legitimate messages that are sent by programs.
- Server-Side Filters
- This software runs on mail servers and often filters out spam before you ever see it. This means that you do not have to download the spam messages that it catches. However, some spam messages may still get through, and, unless the filter is perfect, a few legitimate messages will not. These could be important messages, and you will never know that you lost them.
- Server-Side Taggers
- This variant of server-side filters does not delete possible spam messages before you download them. Instead, you download every message and configure your e-mail program to move messages that were tagged by the filter into a separate spam folder. This eliminates the major disadvantage of server-side filters—lost messages—however this type of filter is generally not as accurate as the ones below, because it does not adapt to your own mail.
- Client-Side Filters
- This software connects to your mail server to delete spam messages before your e-mail program can download them. This is a clunky approach: to catch all the spam messages, you have to run the program right before your regular e-mail program checks for mail. This is difficult to time properly if you check your mail often, and even so you may download some messages that weren’t filtered. You will also download every good message twice. The anti-spam software may let you see the messages that it filtered out, so that you can verify that there were no false positives. However, you have to do this using its interface, not your e-mail program’s (which is typically nicer). And if there was a false positive you then have to transfer it into your e-mail program so that you can file and reply to it.
- Client-Side Proxies
- This is like a client-side filter except that the proxy downloads messages once and stores them locally. The e-mail program then “downloads” the good messages from the proxy. This addresses the timing and double-download problems of client-side filters, but interaction with the filter is still awkward because it happens outside your e-mail program. In addition, you lose some control over the connections to the mail server and which messages are left on the server.
- Client-Side Integrated
- This category includes SpamSieve and Apple Mail’s built-in spam filter. Suspected spam messages are moved to a separate folder, which you can quickly scan at your leisure to make sure there are no false positives. The e-mail program downloads messages directly from the mail server, thus avoiding the problems of client-side filters and proxies. You can train the anti-spam software to improve its accuracy from inside your e-mail program, and accuracy is higher than with server-side filters because the anti-spam software can learn from the messages that you receive. You can also control how the spam filter interacts with your regular mail sorting rules.
1.4 Main Features
- Powerful Bayesian spam filtering results in high accuracy and almost no false positives. It adapts to the mail that you receive to get even better with time. Some other e-mail programs include Bayesian filters, but SpamSieve is more accurate.
- Integrates with your e-mail program for a superior user experience. Plus, you get the same great filtering if you ever switch e-mail programs or use more than one at a time.
- Integrates with the Mac OS X Address Book (and also Eudora’s and Entourage’s address books) so that messages from friends and colleagues are never marked as spam.
- Automatically maintains a blocklist so that it can instantly adapt to spam messages sent from particular addresses, and catch 100% of them.
- Automatically maintains a whitelist to guarantee that messages from particular senders or mailing lists are never marked as spam, without cluttering your address book with these addresses.
- You can customize the whitelist and blocklist, adding sophisticated rules that match various message headers, or the message body. The rules can match text in a variety of ways, including using regular expressions.
- Can use the Habeas Safelist, which indicates messages that are not spam, as well as the “ADV” subject tag indicating that a message is spam.
- Many spammers encode the contents of their messages so that filters cannot see the incriminating words they contain. SpamSieve can decode and look inside these messages. Optionally it can mark them all as spam, on the theory that legitimate senders do not try to obscure their messages.
- SpamSieve keeps track of how accurate it is, how many good and spam messages you receive, and how these numbers change over time.
- Turn off new-mail notification in your e-mail program, and let SpamSieve notify you only when you receive non-spam messages.
- The corpus window and log let you see how each spam message was caught.
1.5 Why Choose SpamSieve?
Given that e-mail programs such as Apple Mail, Entourage, and Eudora include their own integrated spam filters, you may be wondering why you should consider SpamSieve. The answer is simple: SpamSieve’s higher accuracy will save you time. You’ll spend less time deleting spam messages from your inbox; in fact, SpamSieve gets rid of spam so effortlessly that you may even forget that you have it installed. Read what the press and other SpamSieve users have to say about it. Still not convinced? That’s OK. You can try SpamSieve free for 30 days.
2 Installing and Updating
2.1 Requirements
SpamSieve is a universal binary that runs natively on both PowerPC- and Intel-based Macs using Mac OS X 10.4–10.5. It is designed to work with the following e-mail programs:
- Apple Mail from Mac OS X 10.4 and later.
- Emailer 2.0v3, previously available from Claris.
- Entourage v.X (2001) and later (Entourage 2004 or 2008 recommended) from Microsoft.
- Eudora 5.x or 6.x (in Sponsored or Paid mode) from Qualcomm. SpamSieve will also work with Eudora 8.0.0b1 (a.k.a. Penelope) if you follow the Thunderbird instructions. It does not work with Eudora 8.0.0b2 or 8.0.0b3.
- GyazMail 1.2.0 and later (1.5.8 recommended).
- Mailsmith 1.5 and later (2.1.5 or 2.2 recommended) from Bare Bones Software.
- Outlook Express 5.0 and later from Microsoft.
- PowerMail 4.0 and later (6.x recommended) from CTM Development.
- Thunderbird 1.5.0.9 or 2.x from Mozilla, and Mac OS X 10.4 or later. SpamSieve does not work with Thunderbird 3 (which is in pre-release).
SpamSieve works roughly the same way with each mail program. If you use multiple mail programs at once, SpamSieve will share its training data and statistics among them. Emailer, Eudora, and Thunderbird provide SpamSieve with access only to parts of each e-mail message, so SpamSieve’s accuracy will be slightly reduced when using these mail programs, although it should still be much better than their built-in spam filters.
SpamSieve does not run on the iPhone, but you can use it together with your Mac to filter your iPhone mail. This is described in the iPhone Spam Filtering section.
If you use AOL, follow these instructions to setup Apple Mail for use with AOL and then follow the normal SpamSieve setup instructions in the Setting up Apple Mail section.
If you use Gmail, follow these instructions to setup Apple Mail for use with Gmail and then follow the normal SpamSieve setup instructions in the Setting up Apple Mail section.
If you use Yahoo Mail, you need to upgrade to Yahoo Mail Plus in order to access your account outside of a Web browser. Then setup Apple Mail to access your Yahoo account and follow the normal SpamSieve setup instructions in the Setting up Apple Mail section.
2.2 Updating From a Previous Version
SpamSieve will automatically read the corpus and statistics from previous versions. To update to the latest version of SpamSieve, quit your mail program and the SpamSieve application and then replace the old SpamSieve application file with the new one. That is, if SpamSieve is installed in the Applications folder, drag the new SpamSieve application icon into the Applications folder and click Replace when the Finder asks if you want to overwrite the old version. If you get an error saying that you do not have sufficient privileges, drag the old SpamSieve to the trash and empty it, and then drag the new one into the Applications folder. Then launch SpamSieve, followed by your mail program.
Mailsmith users should make sure that Use SpamSieve is still checked in Mailsmith’s Spam Handling preferences.
2.3 Installing SpamSieve
Double-click the SpamSieve-2.7.4.dmg file to mount the SpamSieve disk image. Then drag the SpamSieve application to your Applications folder. It is important that SpamSieve be installed directly in the Applications folder (not in another folder, or in a subfolder), because otherwise your mail program might not be able to find it.

Next, you must follow the instructions in the Using SpamSieve section in order to set up your mail program to use SpamSieve.
2.4 Uninstalling SpamSieve
You can temporarily disable SpamSieve by unchecking the SpamSieve rule(s) that you created in your mail program.
To uninstall SpamSieve, delete any rules that you created for it in your e-mail program. You can also delete the AppleScripts and/or plug-in that you installed, and the SpamSieve application and its data files, which are stored in:
/Users/<username>/Library/Application Support/SpamSieve
The preferences file is stored in:
/Users/<username>/Library/Preferences/com.c-command.SpamSieve.plist
- Apple Mail
The plug-in is located at:
/Users/<username>/Library/Mail/Bundles/SpamSieve.mailbundle
You can also re-enable Apple Mail’s built-in junk mail filter from the Junk Mail tab of its Preferences window.
- Emailer
- The scripts are located in Emailer’s AppleScripts folder (next to the Emailer application).
- Entourage
- The scripts are located in the Entourage Script Menu Items folder inside Microsoft User Data (which is probably in your Documents folder). Go to Entourage’s Tools menu and select Junk E-mail Protection (or Junk Mail Filter in Entourage v.X) and re-enable Entourage’s junk mail filter.
- Eudora 6
The plug-in is located at:
/Users/<username>/Library/Application Support/Eudora/PlugIns/SpamSieve Eudora Plug-In
After uninstalling the SpamSieve plug-in, you can re-enable Eudora’s own junk mail support by selecting the Eudora icon in the Finder and choosing Get Info from the File menu. In the Plug-Ins tab of the info window, you can check or uncheck the various plug-ins to enable or disable them. Check all the plug-ins containing the words “Junk” or “Spam.”
- Eudora 5
- Delete the SpamSieve Eudora Helper file and also run the Uninstall Eudora Helper program that came with SpamSieve. (To access the uninstaller, choose Show Other Scripts from the SpamSieve menu.)
- Outlook Express
- The scripts are located in the Script Menu Items folder inside Microsoft User Data (which is probably in your Documents folder).
- Thunderbird
- Choose Add-ons (Extensions if you have Thunderbird 1.5) from Thunderbird’s Tools menu. Select SpamSieve Thunderbird Plug-in in the list. Click the Uninstall button.
3 Using SpamSieve
There are four basic steps to installing and using SpamSieve:
- Put the SpamSieve application in your applications folder. This is described in the Installing SpamSieve section.
- Set up your mail program to use SpamSieve to filter your mail. This is described in sections 3.1 through 3.7 (below) and in the Legacy Mail Programs section. Find the section below that corresponds to the mail program that you’re using.
- Train SpamSieve with some examples of your spam and good messages, as described in the Do an Initial Training section. (This step is optional but highly recommended.)
- SpamSieve will launch automatically when new mail arrives. It will examine each incoming message and move the spam messages to a separate mailbox. In order to keep SpamSieve’s accuracy high, you’ll need to tell it about any spam messages that you find in your inbox or good messages that you find in your spam mailbox. This is described in the Correct All Mistakes section.
You can return to this page at any time by going to SpamSieve’s Help menu, choosing SpamSieve Help, and clicking on Using SpamSieve in the table of contents. The Help menu also contains a PDF version of this manual.
The rest of this manual contains detailed information about how SpamSieve works and how it can be customized. If you have a question, it’s probably answered here. However, following the above four steps is all most users will need to do to effectively use SpamSieve.
3.1 Setting up Apple Mail
In addition to these written instructions, there is a video that demonstrates how to set up and train SpamSieve with Apple Mail.
Quit Mail. Then double-click the SpamSieve application and choose Install Apple Mail Plug-In from the SpamSieve menu at the top of the screen. When you open Mail once more, you should see three SpamSieve items in the Message menu:

Choose New Mailbox… (or New…) from Mail’s Mailbox menu, and create a new mailbox called Spam with location On My Mac.
Note: The capitalization is important; do not call the mailbox SPAM or spam.
Choose Preferences… from the Mail menu and click the Rules button in the toolbar. Click the Add Rule button. Change the description to SpamSieve.
Note: The description of the rule must start with SpamSieve, but you can add additional text after that, if you want.
Change the From menu to say Message Type (if you have Mac OS X 10.5) or Every Message (if you have Mac OS X 10.4). Then, next to Move Message, select the Spam mailbox that you just created. The rule should now look like:

Note: Although the rule looks like it will move every message to the Spam mailbox, because you have installed SpamSieve’s plug-in, it will only move the spam messages.
Now click OK to close the rule and save your changes. Mail may ask if you want to apply the rule; click Don’t Apply (or No if you have Mac OS X 10.4).
Drag the SpamSieve rule to the top of the list so that SpamSieve will be able to filter all of your mail. If you ever need to temporarily disable SpamSieve, e.g. for testing purposes, you can do so simply by unchecking the rule.

Make sure that the list shows no other rules for processing spam/junk messages. If you find any, disable them (by unchecking them) or delete them.
Delete any messages in the Junk mailbox. The spam messages will move to the Trash mailbox. (If you do not have a Junk mailbox you can skip this step.)
Note: You may want to empty your trash before deleting the spam messages. This will prevent them from being mixed with good messages in the trash.
Go to the Junk Mail tab of Apple Mail’s Preferences window and uncheck Enable junk mail filtering. This will hide Mail’s Junk mailbox and disable its junk mail filter so that it doesn’t interfere with SpamSieve.

Now proceed to the Do an Initial Training section. (There should be spam messages in the Trash from Step 6, which you can use for the training.) To train SpamSieve with spam messages, select one or more of them in Mail and then choose SpamSieve - Train as Spam from the Message menu. The messages will be colored in gray and moved to the Spam mailbox. To train SpamSieve with good messages, select one or more of them and then choose SpamSieve - Train as Good from the Message menu. The keyboard shortcuts for these commands are Command-Control-S and Command-Control-G.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Apply Rules from the Message menu. SpamSieve will move the ones that it thinks are spam to the Spam mailbox.
The above is all you need to know about using SpamSieve with Mail. The Apple Mail Customization section explains some more advanced setup options.
3.2 Setting up Entourage
This section applies to Entourage 2004 and 2008. Please see the Setting up Entourage v.X section if you need to set up an older version of Entourage.
Go to Entourage’s Tools menu and select Junk E-mail Protection. Turn off Entourage’s junk filter by clicking None and then OK.
Open Entourage’s Preferences window. If you see an option in the General Preferences for Sync Services, select it and make sure that Synchronize contacts with Address Book and .Mac is checked. This will cause Entourage to sync its contacts with the Mac OS X address book so that SpamSieve can access your addresses and know from the start that your regular contacts aren’t spammers. If you don’t see Sync Services or if you do not wish to sync your contacts, follow the instructions in the Use Entourage address book section.
Switch to SpamSieve by clicking on its icon in the Dock. Choose Install Entourage Scripts from the SpamSieve menu. After you quit and re-launch Entourage, you should see four SpamSieve items in Entourage’s Scripts menu:

Choose Rules from Entourage’s Tools menu. Click on the tab corresponding to the type of account you have (e.g. POP). If you have more than one kind of account, you will need to repeat steps 4–6 for each account type.
Click the New button. Change the name of the rule to SpamSieve - Move If Spam.
Click on the empty space between Change status and Not junk E-mail. Click Remove Action to delete the Change status action.

Click on the menu that says Set category and select Run AppleScript. Then click the Script… button and Select the SpamSieve - Move If Spam\cmM file. This file is stored in the Entourage Script Menu Items folder (which is probably inside the Microsoft User Data folder inside your Documents folder):

Make sure that Do not apply other rules… is unchecked. The rule should now look like:

Click OK to close the Edit Rule dialog.
Note: It is important that you create the rule exactly as shown. Do not add additional actions below the action that runs the AppleScript. Such actions would apply to all messages (not just spam ones), which is probably not what you want.
Note: If you are using Gmail and IMAP with Entourage, change the criterion from All messages to Folder Is Inbox (Gmail).
Click the New button to create a second rule. Change the name of the rule to SpamSieve - Move Messages.
Click on All messages and change it to say Category Is Junk.
Click Add Criterion. Click on From for the new criterion and change it to say Category Is Uncertain Junk.
Click on if all criteria are met and change it to if any criteria are met.
Click on the empty space between Change status and Not junk E-mail. Click Remove Action to delete the Change status action.

Click on the menu that says Set category and select Move message. Change the menu at the right from Inbox to Junk E-mail. The rule should now look like:

Click OK to close the Edit Rule dialog.
Make sure that the SpamSieve - Move If Spam rule appears at the top of the list in the Rules window. Directly below it should be the SpamSieve - Move Messages rule. You can change the order by dragging.
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose SpamSieve - Train Spam from Entourage’s Scripts menu (as shown in the picture for Step 3, above). To train SpamSieve with good messages, select one or more of them and then choose SpamSieve - Train Good from Entourage’s Scripts menu. The keyboard shortcuts for these commands are Command-Control-S and Command-Control-G.
Note: The training commands will move locally stored messages to the Junk E-mail folder or the inbox. Due to limitations of Entourage, they do not move IMAP or Exchange messages. (Incoming spam messages will be automatically moved to the Junk E-mail folder.)
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Apply Rule ‣ All Rules from the Message menu.
The above is all you need to know about using SpamSieve with Entourage. The Entourage Customization section explains some more advanced setup options.
3.3 Setting up Eudora
This section applies to Eudora 6.x. Please see the Setting up Eudora 5.2 section if you need to setup Eudora 5.2 or Eudora 6 Lite.
Double-click the SpamSieve application and choose Install Eudora Plug-In from the SpamSieve menu. SpamSieve will install its plug-in, disable other junk mail plug-ins (which would conflict with SpamSieve), and reveal the Eudora application file for you.

Note: If there is an error installing the plug-in, see the Installing the Plug-In Manually section below.
Select the Eudora application file and choose Get Info from the Finder’s File menu. Expand the Plug-ins pane, and check the Esoteric Settings plug-in to enable it. Make sure that SpamWatch OSX and SpamHeaders OSX are unchecked. You can now close the info window and launch Eudora.

When you start up Eudora, you should see SpamSieve listed in the About Message Plug-ins… window that is accessible from the Eudora menu.
Note: The version number displayed in this window is the version of the SpamSieve Eudora Plug-In; it will not be the same as the version number of the SpamSieve application. The current plug-in version is displayed in SpamSieve’s about box.
Choose Preferences… from the Eudora menu, scroll down to the Junk Extras settings panel (which is at the very bottom), and check Always enable Junk/Not Junk menu items. Next, select the Junk Mail pane and make sure that Hold junk in Junk mailbox is checked. The Junk Threshold slider must be set to the middle position (50). If you are using IMAP, make sure that Run junk scoring plugins on this IMAP account is checked in the IMAP settings pane.
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose Junk from Eudora’s Message menu. To train SpamSieve with good messages, select one or more of them and then choose Not Junk from Eudora’s Message menu. You can also use toolbar buttons for training SpamSieve.
The above is all you need to know about using SpamSieve with Eudora. The Eudora Customization section explains some more advanced setup options.
- Installing the Plug-In Manually
If the Install Eudora Plug-In command doesn’t work, you can install the plug-in manually as follows:
Go to the SpamSieve menu and choose Show Other Scripts. A Finder window will open.
Choose Enclosing Folder from the Finder’s Go menu. Now you should see a window containing the file SpamSieve Eudora Plug-In.
Create the folder:
/Users/<username>/Library/Application Support/Eudora/PlugIns/
and drag the SpamSieve Eudora Plug-In file into it.
3.4 Setting up GyazMail
Open GyazMail’s Preferences window and click Junk Filter. Make sure that Enable Junk filtering is checked and that the pop-up menu says SpamSieve.
By default, GyazMail will color the spam messages brown. If you want the spam messages to also be put in a separate folder, create a folder called Spam. Then click on Rules in the Preferences window and create a new rule as shown:

Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select the messages, go to GyazMail’s Message menu, and choose Junk ‣ Mark as Junk. To train SpamSieve with good messages, select the messages, go to GyazMail’s Message menu, and choose Junk ‣ Mark as Not Junk. You can also use the Junk button on the toolbar or the Message ‣ Status ‣ Junk menu command to toggle the junk status of the selected messages.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Junk ‣ Recheck Junk Status from the Message menu.
3.5 Setting up Mailsmith
- Open Mailsmith’s Preferences window and click on the Spam Handling pane. Make sure that Use SpamSieve is checked.
- Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose Mark as Spam from Mailsmith’s Message menu. To train SpamSieve with good messages, select one or more of them and then choose Mark as Non-Spam from Mailsmith’s Message menu.
If you ever need to manually ask it to sift through a mix of spam and good messages, choose Recalculate Spam Score from the Message menu (requires Mailsmith 2.2).
The above is all you need to know about using SpamSieve with Mailsmith. The Mailsmith Customization section explains some more advanced setup options. For more information about using SpamSieve with Mailsmith, please see Chapter 8 of the Mailsmith User Manual.
3.6 Setting up PowerMail
These instructions apply to PowerMail 6 and PowerMail 5. Please see the Setting up PowerMail 4 section if you need to setup an older version of PowerMail.
- Go to the Mark as Spam pane of PowerMail’s Preferences window. Click the Spam filter assistant… button and tell the assistant that you want to use SpamSieve.
- Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose Mark as Spam from the Mail menu. To train SpamSieve with good messages, select one or more of them and then choose Mark as Good from the Mail menu.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Perform Filter ‣ Perform All Filters from the Mail menu.
The above is all you need to know about using SpamSieve with PowerMail. The Customization section explains some more advanced setup options. For more information about how to configure PowerMail’s handling of spam messages, please see the PowerMail documentation.
3.7 Setting up Thunderbird
These instructions apply to Thunderbird 2.x. Please see the Setting up Thunderbird 1.5 section if you need to setup an older version of Thunderbird.
- Choose Install Thunderbird Plug-In from SpamSieve’s SpamSieve menu.
- Launch Thunderbird. Choose Add-ons from the Tools menu.
- Click the Install button in the window that just opened. Thunderbird will ask you to select a file.
- Click on Desktop, select the SpamSieve Thunderbird Plug-In.xpi file, and click Open.
- Click the Install now button.
- Quit Thunderbird and re-launch it. If you now go to the Tools menu and choose Add-ons you should see the SpamSieve Thunderbird Plug-In listed there. Next to it will be the version of the plug-in. The current plug-in version is always listed at the bottom of SpamSieve’s about box. You can now delete the SpamSieve Thunderbird Plug-In.xpi file from your desktop.
- Choose Account Settings from the Tools menu. For each of
your accounts in the list at the left (plus “Local Folders”), click
on Junk Settings and make sure that:
- Enable adaptive junk mail controls for this account is checked.
- Trust junk mail headers set by is unchecked.
- Move new junk messages to is checked.
- Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose Message ‣ Mark ‣ As Junk or click the Junk button in the toolbar. To train SpamSieve with good messages, select one or more of them and then choose Message ‣ Mark ‣ As Not Junk or click the Not Junk button in the toolbar.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Message ‣ Mark ‣ Run Junk Mail Controls.
The above is all you need to know about using SpamSieve with Thunderbird. The Customization section explains some more advanced setup options.
3.8 Do an Initial Training
Before you can use SpamSieve, you should give it some examples of messages you consider to be spam, and ones which you do not. You do this by selecting some messages and choosing a training command from the menu. SpamSieve collects information from the messages it’s trained with into its corpus, which it uses to predict whether subsequent messages are spam. Don’t worry; it learns quickly!
Go to SpamSieve’s Filter menu and choose Show Statistics. The Corpus section at the bottom of the Statistics window shows how many good and spam messages SpamSieve has been trained with, and what percentage of them are spam. After the initial training, SpamSieve will automatically train itself, and you’ll only need to train it to correct mistakes.
To do the initial training, use both spam and good messages subject to two requirements:
- Do not use more than 1,000 messages.
- Using up to 1,000 recent messages in the initial training lets SpamSieve start out with a high level of accuracy. In general, the more messages you train SpamSieve with, the better its accuracy will be. However, using more than 1,000 messages initially, would “fill up” SpamSieve’s corpus with older messages, making it slower and less effective at adapting to new kinds of spam that you’ll receive in the future.
- The messages should be approximately 65% spam.
- This means 650 spams out of 1,000 messages, 325 out of 500, or 195 out of 300. For example, if you have 500 good messages but only 400 saved spam messages, don’t train SpamSieve with those 900 messages. This would unbalance the corpus, making SpamSieve inaccurate and slower to learn. Instead, train it with the 400 spams and about 260 representative good messages. This will get it started at a higher level of accuracy. As new messages arrive, SpamSieve will automatically learn from them, keeping its corpus balanced, and its accuracy will improve.
Accuracy will improve with time, but if you’ve used at least 100 or so messages in the initial training, SpamSieve should immediately start moving some of the incoming spam messages to your spam folder. If you don’t see results right away, check the setup in your mail program. After a few hundred messages of each type are in the corpus, SpamSieve should be catching most of your spam.
Now you’re done setting up SpamSieve. The Correct All Mistakes section explains how you can keep SpamSieve’s accuracy high by telling it if it puts any messages in the wrong mailbox.
3.9 Correct All Mistakes
SpamSieve examines each incoming message and moves the spam messages into a separate spam mailbox. It leaves the good messages alone, so they will stay in the inbox or be processed by your other mail rules. In order to keep SpamSieve’s accuracy high, you’ll need to tell it about any mistakes that it makes:
- If you find a spam message that’s not in the spam mailbox, train it as spam. You should do this even if you think the message might confuse SpamSieve.
- If you find a good message in the spam mailbox, train it as good.
You must correct all of SpamSieve’s mistakes or its accuracy will deteriorate over time. Also, the sooner you correct SpamSieve, the better. By promptly correcting SpamSieve, you ensure that it’s always acting based on accurate information.
If you make a mistake and tell SpamSieve that a message is spam when it is actually good (or vice-versa), simply correct yourself as you would correct SpamSieve. That is, if the message is good, train it as good; if it is spam, train it as spam. SpamSieve will “undo” the previous, incorrect, training.
Note: If you are accessing the same MobileMe/IMAP/Exchange account from multiple Macs running SpamSieve, it can be difficult to know which copy of SpamSieve needs to be trained to correct a mistake. It’s best to avoid this situation by only running one copy of SpamSieve at a time. Then you can just make sure to correct any mistakes before switching to another Mac. If you do need to run multiple copies of SpamSieve at once, filtering the same mail account, you should turn off auto-training.
4 iPhone Spam Filtering
Due to limitations of the iPhone platform, there is not currently an iPhone version of SpamSieve. However, you can use SpamSieve on your Mac to keep the spam off your iPhone or iPod touch. The Mac has much more bandwidth and processing power, so it makes sense to do the spam filtering there, anyway. When you check for mail on your iPhone, you won’t waste time or battery power downloading or processing spam messages.
To use SpamSieve with your iPhone, you’ll need to set both the Mac and the iPhone to connect to your mail server using the IMAP mail protocol. Most providers support both IMAP and the older POP protocol, but some only support POP. Apple’s MobileMe service automatically uses IMAP.
When using IMAP, all computers and iPhones that connect to the same mail account will share the same mailboxes, and they will be synchronized automatically. (The syncing happens when you open the Mail application, not when you connect the Mac and iPhone and sync in iTunes.) When your mail program is running on your Mac, it will periodically check for new mail. New messages will arrive in the inbox, and SpamSieve will move the spam messages to the spam mailbox. When the iPhone checks for new mail, the spam messages will generally already have been moved out of the inbox.
If the iPhone happens to see a new spam message before the Mac does, it will appear in the inbox for a short while. When the Mac sees it, it will move it to the spam mailbox and it will disappear from the inbox on the iPhone. The iPhone supports push e-mail, which lets it see new messages instantly. If you receive a lot of spam, you may prefer to turn off the push feature. That will give the Mac a chance to filter the messages before you see them on the iPhone.
The remainder of this section discusses how to setup Apple Mail to keep spam off your iPhone. A similar setup will also work with other mail programs that support IMAP.
- Choose Preferences… from the Mail menu and click on Accounts. Your account(s) will be listed at the left of the window. If it already says IMAP or MobileMe under your account, there’s nothing more that you need to do.
- If it says POP, you will need to disable the POP account and create a new IMAP one. Click on the POP account and make note of the contents of the Account Information tab. Click on the Advanced tab. Uncheck Include when automatically checking for new mail. Then click the Remove now button to remove from the server any messages that you’ve already downloaded.
- Click the + button at the bottom of the window and follow the steps to create a new account. Choose IMAP for the account type. For the server and login, enter the information that you noted for the POP account. (Note: some providers use a different incoming mail server name for IMAP.) Put “IMAP” at the end of the description so that you can tell this account apart from the old one.
- You should now be able to check for mail, and Mail will be using IMAP instead of POP. There will be two sets of mailboxes (Inbox, Sent, etc.) in the main window. If desired, you can go to each of these mailboxes and drag the messages from the old mailboxes to the IMAP ones.
- Go back to Mail’s Preferences window, click on the POP account, and click the Advanced tab. Then uncheck Enable this account. You will be using the new IMAP account instead, although the old POP settings, and any messages that you didn’t transfer to the IMAP mailboxes, will still be available should you want to go back to the old setup.
- Quit Mail and open iTunes. Click on your iPhone under Devices and then click the Info tab. Under Mail Accounts, make sure that Sync selected Mail accounts and your new IMAP account are checked. Then click the Sync button at the bottom of the window.
That’s all you need to do, but some more advanced configurations are also possible:
- Remote Spam Mailbox
With the above setup, the Inbox, Sent mailbox, and any mailboxes that you create on the server are shared between the Mac and the iPhone. The spam messages are removed from the server and stored locally in the Spam mailbox on the Mac. This is faster, and it means that the spam messages won’t count towards your server quota.
Some users prefer to store the Spam mailbox on the server. This way, if SpamSieve accidentally puts a good message in the Spam mailbox, you can access the message on the iPhone when away from the Mac. To do this, choose Mailbox ‣ New Mailbox… to create new mailbox on the server called Spam. Open the Rules section of Mail’s preferences and change the SpamSieve rule to move the messages to this new mailbox instead of the old one. If you do find a good message in the Spam mailbox, do not use the iPhone to move it out of the Spam mailbox. Instead, when you get back to your Mac, select the message and choose SpamSieve - Train as Good.
- Remote Training
If you’ll be away from your Mac for long periods of time, you can train SpamSieve directly from the iPhone. Correcting mistakes promptly will keep SpamSieve running at peak accuracy.
The Setting up a Spam Filtering Drone section describes how to setup Mail for remote training. To train SpamSieve, use the iPhone’s Mail application to move messages into either the AddToGood or AddToSpam mailbox.
5 Customization
5.1 Rule Ordering
SpamSieve works with your e-mail program to filter out spam messages. First, the mail program downloads new messages from the mail server. It then passes the messages to a plug-in or AppleScript, which in turn passes them to the SpamSieve application. SpamSieve analyzes the messages to see whether they are spam. It returns the verdict to the plug-in or script, which then directs the mail program to move the messages to another folder.
Some of the e-mail programs that SpamSieve supports let you control the order in which the rules (a.k.a. filters or mail actions) that you have created process mail. How you order the SpamSieve rule is up to you. If you get a lot of spam that matches the rules you use to organize your mail, you might want to run the SpamSieve rule first. This will allow it to find spam among all your messages. If you would rather deal with spam manually than have any false positives, then you might want to run the SpamSieve rule last, after all your other rules have been given a chance to match and file away messages from known senders. Be sure to check the SpamSieve preferences for additional filtering options.
5.2 Whitelisting Previous Recipients
For added safety, you can specify that addresses that you’ve sent mail to will never send you spam. To do this in:
- Apple Mail
- Open the Rules section of Mail’s Preferences window and edit the SpamSieve rule. Change the condition that says Every Message to Sender is not in my Previous Recipients. Mail will then assume that such messages are good, without showing them to SpamSieve.
- Entourage
- Create an outgoing rule that uses this AppleScript to add your messages’ recipients to SpamSieve’s whitelist.
- Eudora
- Open Eudora’s Junk Mail settings and make sure that Mail isn’t junk if the sender is in an address book is checked. Eudora automatically adds your recipients to its History List, which is considered to be part of the address book.
- Mailsmith
- Create a rule that uses this AppleScript to add your sent messages’ recipients to SpamSieve’s whitelist.
- PowerMail
- Create an outgoing filter that uses this AppleScript to add your messages’ recipients to SpamSieve’s whitelist.
- Thunderbird
- Select Do not mark mail as junk if the sender is in Collected Addresses in Thunderbird’s Account Settings window.
For Apple Mail, Eudora, and Thunderbird the above settings will completely hide these messages from SpamSieve. Thus:
- You might not want to do this if you regularly receive spam messages that are forged so as to appear as though they were sent from one of your previous correspondents. SpamSieve won’t see the messages, so it will have no chance of catching them.
- SpamSieve will not be able to auto-train itself with these messages. You should be sure to manually train it with some examples of these messages, so that it has seen some examples of good messages with this type of content.
5.3 Customizing Using AppleScript
Many aspects of SpamSieve are scriptable, and it is possible to customize SpamSieve and extend its features using AppleScript. A collection of commonly requested example scripts is available.
SpamSieve’s interface for integrating with third-party mail and news programs is completely open. It is possible to add support for additional programs simply by writing some AppleScripts or Apple event code. SpamSieve’s AppleScript dictionary contains some basic information about the supported commands. However, there are some subtle, but important, points that are not discussed in the dictionary’s documentation. If you would like to connect an application to SpamSieve, please contact spamsieve@c-command.com for assistance.
5.4 Apple Mail Customization
The following customization is optional but recommended:
Choose Mail ‣ Preferences… and click on General. Change the New mail sound to none so that Apple Mail does not play a sound when spam messages arrive. SpamSieve notify you only when you receive new non-spam messages.
Additional customizations are described below:
5.4.1 Change Settings (Apple Mail)
You can choose SpamSieve - Change Settings from Mail’s Message menu to customize SpamSieve’s behavior in Mail.
The settings are:
- Which mailbox should spam messages be moved to when you use “Train as Spam”?
- Should messages marked using “Train as Spam” be stored in a local spam mailbox (rather than on the server)? (This will use the spam mailbox for the first IMAP account that’s listed in Mail’s preferences.)
- Should “Train as Spam” mark the messages as read?
- When you use “Train as Good” on a message in the spam mailbox, should the message be moved back to the inbox?
- When you use “Train as Good” on a message in the spam mailbox, should the message be marked as unread?
- Should incoming spam messages be colored according to how spammy they are (darker means more spammy)?
5.4.2 Spam Message Colors in Apple Mail
SpamSieve sets the colors of spam messages to reflect how spammy it thinks they are. The most spammy messages are colored Blue. Less spammy messages are colored Gray, Purple, Red, Orange, or Yellow (in that order); good messages are left uncolored. The SpamSieve - Change Settings command lets you enable or disable spam message coloring.
If you tell Mail to sort the Spam mailbox by color (using View ‣ Sort By ‣ Color), the most spammy messages will be at the top, and the least spammy ones at the bottom. Thus, if you are skimming the Spam mailbox for false positives, you should spend more time examining the messages at the bottom.
You can also use rules in Mail to file messages into different mailboxes (or otherwise process them differently) based on how spammy they are.
To move all spam messages to a single mailbox, create a single rule named SpamSieve, as shown here:

To separate spam messages by color (spamminess), you should instead create two or more rules. The first rule should be named SpamSieve [Score]. As above, you probably want the conditions to be Message Type is Mail (or Every Message if you have Mac OS X 10.4). When this rule is applied, SpamSieve will calculate the spam score of the message and set its color accordingly. The actions of the [Score] rule will be ignored.
Below the [Score] rule you can create one or more rules that process messages based on their color. Each of these rules should have a name that starts with SpamSieve, followed by one or more color names in square brackets. Again, the rule conditions should be Every Message. For example, to make a rule that matches the most spammy Blue and Gray messages, you would name it SpamSieve [Blue][Gray] (or SpamSieve [Gray][Blue]). As a shorthand for listing all of the colors, you can simply write [Spam]. To match non-spam messages you can write [White]. You can include additional descriptive text after the brackets to remind you of what the rule does.
Example: To move blocklisted messages to the trash and other spam messages to the Spam mailbox, you would need three rules:
SpamSieve [Score] (calculates the spam score/color) / Message Type is Mail / Move Message to mailbox Spam
SpamSieve [Blue] (move very spammy messages to the trash ) / Message Type is Mail / Move Message to mailbox Trash
SpamSieve [Spam] (move the remaining spam messages) / Message Type is Mail / Move Message to mailbox Spam
5.4.3 Automatically Deleting Old Spam Messages
Mail has a feature, accessible from the Mailbox Behaviors (or Special Mailboxes) tab of the Accounts preferences, that can automatically delete old spam messages from the Junk mailbox. You can use this feature if you tell SpamSieve to put spam messages in the Junk mailbox instead of the Spam mailbox.
(Note: If you do this, be careful not to use the Junk and Not Junk buttons that will appear in Mail when the Junk mailbox is active; you should always use the SpamSieve - Train as Good and SpamSieve - Train as Spam commands instead. You can use the Customize Toolbar… command in Mail’s View menu to remove the Junk button from the toolbar. Also, if you select a message that SpamSieve has classified as spam, Mail will show a banner saying that you marked it as junk. Ignore this.)
To tell SpamSieve to use the Junk mailbox, open Mail’s Preferences window and click on Junk Mail. Make sure that Enable junk mail filtering is checked. Select Move it to the Junk mailbox. If Mail asks whether you want to move all the messages to the Junk mailbox, say No. Select Perform custom actions. Then click the Advanced… button and edit the rule such that the conditions don’t match any messages. For example, use these two conditions:
- Message is addressed to my Full Name
- Message is not addressed to my Full Name
Click OK to close the sheet. Do not make any further changes to the Junk Mail preferences.
Go to the Rules section of Mail’s preferences and change the SpamSieve rule to move the messages to the Junk mailbox instead of the Spam mailbox. Finally, choose SpamSieve - Change Settings from Mail’s Message menu and, when prompted, say that the name of your spam mailbox is Junk.
5.4.4 Changing the Name of the Spam Mailbox
You can change the name of the mailbox where incoming spam messages are stored. For example, you might put a space in front of the name to make it sort to the top of your mailbox list. To do this, simply rename the Spam mailbox in Mail by selecting it and choosing Rename… from the Mailbox menu. The SpamSieve rule in Mail’s preferences should automatically update to reflect the new mailbox name. (To change the spam mailbox to a different mailbox that already exists, open the SpamSieve rule in Mail’s preferences and select that mailbox from the pop-up menu.)
Then choose SpamSieve - Change Settings from Mail’s Message menu and, when prompted, enter the new mailbox name. This will tell SpamSieve where to put the messages when you use the SpamSieve - Train as Spam command. You can also enter the name of a different mailbox; some people like to enter Deleted Messages so that messages trained as spam are moved directly to the trash.
5.4.5 Marking Incoming Spam Messages
Normally, SpamSieve puts incoming spam messages in the Spam mailbox, and it colors them according to how spammy they are. You can customize this behavior by editing the actions of the SpamSieve rule in Mail’s preferences. For example, to mark the spam messages as read, click the + button at the bottom of the rule sheet, and choose Mark as Read from the pop-up menu.
Do not add an action that changes the color of the message, as it will not do what you expect.
5.4.6 Separate Spam Mailboxes for Each Account
Normally, SpamSieve puts the spam messages from all your Apple Mail accounts into a single mailbox called Spam. If you want to have a separate spam mailbox for each account, first create the requisite empty mailboxes. Then, create one rule in Mail for each account. The description for the rule should be SpamSieve - [AccountName] where [AccountName] is any text that helps you identify the account. The rule’s condition should be that the account is [AccountName], and the action should be to move the message to the spam mailbox for that account.
As this example demonstrates, you can have multiple SpamSieve rules in Apple Mail, with arbitrary conditions, so long as all of their descriptions start with SpamSieve. It is recommended that you arrange the conditions such that only one SpamSieve rule will be applied to any given message.
5.4.7 Redirecting Good Messages to Another Account
When traveling, especially if you have a Palm or BlackBerry, you might want to avoid downloading spam messages from the server. You can do this by letting your Mac at home filter the messages from your main mail account and redirect the non-spam messages to the account that you access when traveling. The spam messages will stay in the Spam mailbox on your Mac.
Open Mail’s Preferences window and click the Add Rule button. Enter a description, such as “Redirect good messages to handheld.” Change the condition from From to Every message. Then change the action from Move Message to Redirect Message and enter the e-mail address of the account that you check when traveling. Click OK. Finally, drag your newly created rule so that it is just below the SpamSieve rule.
5.4.8 Setting up a Spam Filtering Drone
This tutorial from MacMerc shows how to set up a spare Mac as a spam filtering drone using Apple Mail. The idea is that multiple computers check the same IMAP account. One Mac (the drone) downloads all the messages and filters them with SpamSieve. The others (your main Mac, your PC at work, your iPhone, etc.) get a spam-free inbox. If a spam message gets through, you can move it to the AddToSpam mailbox to train the drone. For any given IMAP account, there should be only one copy of SpamSieve (drone or regular) filtering its mail.
If you’re using an iPhone, you may want to turn off push e-mail so that the phone doesn’t notify you about new messages that would be put into the spam mailbox, anyway.
5.5 Entourage Customization
The following customizations are optional but recommended:
- Choose Entourage ‣ Preferences… and click on Notification. Turn off the sounds and new mail notifications, and let SpamSieve notify you only when you receive new non-spam messages.
- If you’re using an IMAP account, choose Tools ‣ Accounts. Edit the account and click on the Options tab. Make sure that Always download complete message bodies is checked and that Partially receive messages over is not checked.
Additional customizations are described below:
5.5.1 Change Settings (Entourage)
You can choose SpamSieve - Change Settings from Entourage’s Scripts menu to customize SpamSieve’s behavior in Entourage.
The settings are:
- Which folder should spam messages be moved to when you use “Train Spam”?
- Should “Train Spam” mark the messages as read?
- When you use “Train Good” on a message in the spam folder, should the message be moved back to the inbox?
- When you use “Train Good” on a message in the spam folder, should the message be marked as unread?
- Which folder should incoming spam messages be moved to? (This only affects POP messages. For IMAP and Exchange messages, you would need to modify the SpamSieve - Move Messages rule.)
- Should incoming spam messages be marked as read?
- Should incoming spam messages be removed from the mail server?
- Should incoming spam messages be marked with category “Uncertain Junk” rather than “Junk” if SpamSieve thinks they are not as spammy?
5.5.2 Spam Message Categories
SpamSieve colors spam messages in Entourage using one of two categories:
- Junk
- This is for messages that you mark as spam (using the SpamSieve - Train Spam command) and for most incoming messages that SpamSieve thinks are spam.
- Uncertain Junk
- This is for incoming messages that SpamSieve thinks are spam, but whose scores are below the uncertainty threshold. For more information about scores and uncertainty, see the A spam message is uncertain if preference.
To change the colors associated with these categories, choose Edit ‣ Categories ‣ Edit Categories.
Normally, both Junk and Uncertain Junk messages are put into the same Junk E-mail folder. It is also possible to separate the messages by category. To do this:
- Create a new folder in Entourage called Uncertain Junk.
- Create a third rule called SpamSieve - Move Uncertain Messages. It should say “If Category Is Uncertain Junk, Then Move message Uncertain Junk.”
- Drag the new rule between the SpamSieve - Move If Spam and SpamSieve - Move Messages rules.
To turn off the uncertain spam feature, so that all spam messages are marked using the Junk category, use the SpamSieve - Change Settings command.
5.6 Eudora Customization
Eudora applies SpamSieve to all incoming messages. The Junk Mail area of Eudora’s preferences lets you customize how Eudora interacts with SpamSieve. Note that the Junk Threshold slider will have no effect because SpamSieve always considers messages with scores of 50 or above to be spam. Thus, you should set Eudora’s junk threshold to 50 and use the slider in the Advanced tab of SpamSieve’s preferences if you need to adjust its sensitivity.
Other settings in the Junk Mail pane do affect SpamSieve. For instance, if you check Mail isn’t junk if the sender is in an address book, then Eudora will not pass those messages along to SpamSieve; it will assume that they are good. Note that Eudora always considers your address to be in its address book, even though it may not be explicitly listed there. Thus, if you receive spam that is forged so that it appears to be sent from your own address, you must uncheck Mail isn’t junk if the sender is in an address book in order for SpamSieve to catch it.
To still have SpamSieve whitelist your address book, you can export the Eudora address book to vCard and then import it into the Mac OS X Address Book, or use SpamSieve’s Import Addresses… command to import the Eudora Nicknames file.
The Junk Extras area of Eudora’s preferences lets you control some additional settings, such as whether junk messages are removed from the mail server.
5.7 Mailsmith Customization
Choose Show Other Scripts from SpamSieve’s SpamSieve menu. This reveals the Mailsmith Extras folder, which contains AppleScripts for use with Mailsmith. These make it possible for scripters to further customize and automate the labeling and marking of messages in Mailsmith. If you are using Mailsmith 2.0 and do not write your own AppleScripts, you can ignore the Mailsmith Extras folder.
You can add the AppleScripts to Mailsmith’s Scripts menu by copying them to the Scripts folder inside the Mailsmith Support folder. A filter such as the following may be used to change the labels of incoming spam messages.

This filter will pass all messages along to SpamSieve for analysis. It will set the Is Spam or Is Not Spam property of the message, and change the label of the message if it is spam. This is roughly equivalent to enabling SpamSieve in Mailsmith’s preferences, but because it uses AppleScript it is more customizable. Additionally, you can change the filter criteria to pass only select messages along to SpamSieve.
6 Menus
6.1 The SpamSieve Menu
6.1.1 About SpamSieve
The About SpamSieve window shows the credits, download and support information, and the current version numbers of SpamSieve’s plug-ins.
You can always download the latest version of SpamSieve from the SpamSieve Web site.
Questions about SpamSieve may be sent to spamsieve@c-command.com. I’m always looking to improve SpamSieve, so please feel free to send any feature requests to that address.
To make sure that you have the latest version of SpamSieve, you can use the Software Update feature or subscribe to the SpamSieve News mailing list. The traffic on this list is very low, only one message per new version of SpamSieve.
The SpamSieve RSS feed contains update notices and other SpamSieve news.
The SpamSieve forum is the place to talk with other SpamSieve users, share tips and tricks, and ask questions.
6.1.2 Software Update
Click the Check Now button, and SpamSieve will tell you whether a newer version is available for download. By default, SpamSieve will automatically check for new versions each time it is launched and once per day. You can disable this feature by unchecking the checkbox.
If a new version is available, SpamSieve will tell you what’s new in that version. Click Download to have SpamSieve download the .dmg file for the new version to your Internet downloads folder. (You can change the folder in Safari’s preferences.) Click Download & Install to have it download the .dmg and then update the installed SpamSieve application to the new version.
To check for a new version, SpamSieve contacts a Web server at c-command.com. SpamSieve transmits the following information to the server: the name of the product (SpamSieve) and its version, the version of Mac OS X, whether SpamSieve has been purchased, the name of the current mail program, and the name of the current language. This information is used to guide future development. No personal information is transmitted.
6.1.3 Purchase
This window lets you buy SpamSieve. If you’ve already purchased SpamSieve but it’s running in demo mode, you can you enter your name and serial number to personalize your copy of SpamSieve and remove the demo limitations.
SpamSieve has a free trial period that lasts for 30 days or 7 launches, whichever is longer. To use SpamSieve beyond the demo period, you must purchase it. This entitles you to free updates and support.
To purchase, choose Purchase… from the SpamSieve menu. You can use the Purchase button to enter the online store.
Soon after paying, you’ll receive an e-mail with your serial number. Enter the name and serial number from the e-mail into the Purchase window and click Personalize. If you need to re-install SpamSieve, you can simply re-enter your name and serial number and click Personalize; there’s no need to purchase again.
If you purchased SpamSieve but cannot find your serial number, click the Lost Your Serial Number? button. This will open a form where you can enter your e-mail address and look up your order information.
A license for SpamSieve is good for one person or one computer. You can install it on one Mac, and everyone sharing that Mac can use it (on that Mac). Alternatively, you can install it on your desktop Mac and your laptop; you can then use it on either machine, provided that no one is using it on the other machine.
6.1.4 Install Apple Mail Plug-In
This command installs (or updates) the plug-in that SpamSieve uses to integrate with Apple Mail. If the plug-in is successfully installed, you will see the SpamSieve commands in Mail’s Message menu.
6.1.5 Install Entourage Scripts
This command installs (or updates) the AppleScript files that SpamSieve uses to integrate with Entourage. Occasionally, the script files can become damaged, causing Entourage to ask you to locate the SpamSieve application each time you receive mail or try to train SpamSieve. Using this command to install fresh copies of the scripts should fix that problem.
This command also makes sure that you have an Entourage category called “Uncertain Junk”.
6.1.6 Install Eudora Plug-In
This command installs (or updates) the plug-in that Eudora 6 uses to communicate with SpamSieve. It also disables any other Eudora junk mail plug-ins, as they would conflict with SpamSieve. The SpamSieve Eudora plug-in is installed in the folder:
/Users/<username>/Library/Application Support/Eudora/PlugIns/
6.1.7 Show Other Scripts
This opens a folder containing AppleScript files for integrating SpamSieve with DragThing, Emailer, Eudora 5.2, Outlook Express, PowerMail 4, and Mailsmith. These can be installed by dragging them into the proper locations.
Opening the containing folder (using Command-Up-Arrow) reveals the scripts for Entourage, as well as SpamSieve’s plug-ins for Apple Mail and Eudora 6. Normally, there is no need to access these items directly, as SpamSieve can install them automatically (see above). They are accessible here in case you want to install them manually.
6.1.8 Update Address Book “Me” Card
When you use this command, SpamSieve looks at the account information for any e-mail programs that are currently running and adds any e-mail addresses that it finds to the “Me” card of the system address book. The “Me” card has “me” written on top of the picture; to find it, choose Go to My Card from the Card menu. SpamSieve uses the addresses on this card to determine when a message that you receive includes your return address. This can help it detect spam messages that were forged to look like you sent them, in conjunction with the Exclude my addresses preference. Also, SpamSieve will avoid automatically creating whitelist rules for addresses listed on the “Me” card.
6.2 The File Menu
6.2.1 Import Addresses…
This imports either good or spam e-mail addresses from a text file. For each address, a rule is created on the whitelist (or blocklist) that matches messages sent from that address. If such a rule already exists, SpamSieve makes sure that it’s enabled. Rules in the opposite list are not affected.
Many file formats are supported: the addresses can be return- or comma-delimited, or they can be mixed in with message text as part of a mbox file.
- To import addresses from Entourage, choose Export… from the File menu and select the option to Export contacts to a tab-delimited text file.
- To import addresses from Eudora, ask SpamSieve to import the Eudora Nicknames file inside the Eudora Folder (which is likely in your Documents folder).
- To import addresses from the Mac OS X address book, open the Address Book program. Choose Card and Columns from the View menu. Select all the names in the middle column (Name) and drag them to the desktop. This will create a .vcf file, which you can import into SpamSieve.
You may be wondering why you would want to import addresses from the Mac OS X address book instead of using the Use Mac OS X Address Book preference, or why you would import addresses from Entourage instead of using the Use Entourage address book preference. The difference is as follows. When you ask SpamSieve to use an address book directly, it will always consider messages from senders in the address book to be good—even if you receive many spam messages that are forged to appear as if they were sent by your friends.
When the addresses are imported to the whitelist, however, they are subject to SpamSieve’s normal whitelist behavior. That is, if Train SpamSieve whitelist is checked, when you receive a spam message from someone on the whitelist, SpamSieve will disable the corresponding whitelist rule. Subsequent messages from that sender will no longer be whitelisted. In short, the address book is safer because it makes sure messages from people in your address book always get through. The whitelist is less safe, but it allows you to block forged spam messages.
If you prefer the address book behavior but don’t have all of your addresses entered into the address book, you can use Import Addresses… to create whitelist rules from your addresses, and then select the rules and use this script to convert the rules into address book cards.
Imported address files must be less than 400K; to import more addresses, break the file into smaller chunks.
6.2.2 Import Corpus…
This imports the words in a corpus that was exported in XML format. This is the same format used by SpamSieve 1.x. Importing a corpus merges it with the active corpus. To replace the active corpus with the one you are importing, use the Reset Corpus… command before importing.
6.2.3 Export Corpus…
This exports the active corpus to XML format. You might do this in order to import the corpus on another machine.
6.3 The Filter Menu
6.3.1 Show Corpus
The corpus is a collection of messages, both spam and good, with which you have trained SpamSieve. SpamSieve’s Bayesian classifier analyzes the contents of the messages and uses this information to predict whether future messages are spam or good. The contents of the corpus are managed by SpamSieve; therefore, once you’ve trained SpamSieve with a message, deleting the message from your e-mail program will not affect SpamSieve because the information from that message is stored in the corpus.

The Show Corpus command opens the Corpus window so that you can examine the words that SpamSieve has found in your e-mails. You can click on the name of a column to sort by that column. Click again on the column to reverse the sort direction. The meanings of the columns are as follows:
- Word
- A word in the corpus.
- Spam
- The number of times the word has occurred in spam messages.
- Good
- The number of times the word has occurred in good messages.
- Total
- The total number of times the word has occurred.
- Prob.
- The probability that a message is spam, given that it contains the word (and in the absence of other evidence).
- Last Used
- The date that the word was added to the corpus, or the date that it last appeared in a received message (whichever is later).
You can copy the selected rows to the clipboard or drag and drop them into another application.
With the window sorted by Word, you can type the first few letters of a word to locate that word in the corpus. Similarly, you can sort by one of the other columns and type a number to locate the first word whose value for the sorted column matches the number you typed.
You can edit the spam and good counts associated with a word by double-clicking on the number in the Spam or Good column. Changing the numbers for important words can greatly affect SpamSieve’s accuracy, so you shouldn’t make changes without good reason.
You can remove words that you don’t want in the corpus by selecting them and pressing Delete.
6.3.2 Reset Corpus…
This command removes all the words and messages from the corpus. (It does not change the whitelist or blocklist.) After resetting the corpus, you can retrain SpamSieve from scratch, and SpamSieve will let you use your old messages in the retraining. Resetting the corpus and re-training SpamSieve with a proper mix of recent messages can increase SpamSieve’s accuracy and reduce its memory use.
Before you reset the corpus, SpamSieve automatically saves a backup in case you need to go back to the old corpus. The backups are saved in this folder:
/Users/<username>/Library/Application Support/SpamSieve/
To restore from a backup, choose Import Corpus… from the File menu and choose the appropriate Corpus <date>.plist file.
6.3.3 Show Statistics
This command opens the Statistics window, which displays the following information:
- Filtered Mail
- Good Messages
- The number of non-spam messages that SpamSieve has filtered.
- Spam Messages
- The number of spam messages that SpamSieve has filtered.
- Spam Messages Per Day
- The average number of spam messages received per 24-hour period.
- SpamSieve Accuracy
- False Positives
- The number of good messages that SpamSieve identified as spam.
- False Negatives
- The number of spam messages that SpamSieve identified as good.
- % Correct
- The percent of messages that SpamSieve identified correctly.
- Corpus
- Good Messages
- The number of non-spam messages that are used to identify spam messages.
- Spam Messages
- The number of spam messages that are used to identify spam messages.
- Total Words
- The total number of unique words in the corpus.
- Rules

You can copy all the statistics to the clipboard using the Copy command in the Edit menu or by clicking the Copy Stats button.
Normally, SpamSieve shows statistics for all the messages that it processed since it was installed. Because the accuracy and the number of messages you receive change with time, you may wish to only see recent statistics. Click the Set Date… button at the bottom of the window to control which old statistics are hidden from view. You can edit the date and time shown in the sheet, or enter an entirely new date. SpamSieve will also accept dates specified in natural language, such as “last Sunday at dinner” or “today.” The Now button enters the current date and time.
If you’ve chosen a suitable date and the “Filtered Messages” section shows zero filtered messages, that means that your mail program did not ask SpamSieve to filter any incoming messages. You should check to make sure that the mail program setup is correct.
6.3.4 Open Log
SpamSieve keeps a log of messages that it has filtered, words that it has used to decide whether the messages were spam, messages you have added to the corpus, and any errors that have occurred. This command opens the log file so that you can look at it. Normally, there is no reason (aside from curiosity) to look at the log file. However, if you believe SpamSieve is not working as it should, the log file provides useful information about what SpamSieve has done.
- For each incoming message, there should be an entry in SpamSieve’s log that says Predicted: Good or Predicted: Spam. If you see only Trained: entries (or no entries at all) for a message, then the mail program did not ask SpamSieve to analyze that message, and you should check the setup.
- If SpamSieve left a spam message in your inbox, there
will be a Predicted: Good entry for that message in the
log. The Reason can provide clues for why SpamSieve thought the
message was good.
- If it says sender <address> in address book, you might want to remove that address from address book, add it to the Me card, or else uncheck SpamSieve’s option to Use Mac OS X Address Book.
- If it says sender <address> in Entourage address book, you might want to remove that address from Entourage’s address book (then click Load while holding down the Option key) or uncheck SpamSieve’s option to Use Entourage address book.
- If spam messages are being predicted as good and you don’t understand why, please send in a report.
- If SpamSieve moved a good message to the spam folder, there will be a Predicted: Spam entry for that message in the log. The Reason can provide clues for why SpamSieve thought the message was spam.
If you find that the log file is taking up too much disk space, you can delete it at any time. SpamSieve will then start a new log file as needed.
6.3.5 Edit Log
This command opens the log file in a text editor such as TextEdit or TextWrangler instead of Console. This makes it easier to read and search large log files. You can control which editor SpamSieve uses by choosing Get Info in the Finder on a .txt file, changing the application in the Open with pane, and pressing Change All.
6.3.6 Show Blocklist
This opens the Blocklist window. The blocklist consists of a list of rules. If a message matches one or more rules on the blocklist, SpamSieve will predict that it is spam. Each row in the blocklist window represents one rule.

The meanings of the columns are as follows:
- Date
- The date that the rule was added to the blocklist.
- Header
- The part of the message that will be matched against the rule.
- Match Style
- How the rule text will be matched against the text from the message’s header.
- Text to match
- The text that will be matched against the message’s header.
- ✓
If this is checked, the rule is enabled. Disabled rules do not block any messages, but they are useful because they prevent SpamSieve from re-learning a rule that you don’t want.
For example, say that you get forged spam messages from your own address. When you receive such a message, and tell SpamSieve that it’s spam, any rule on the whitelist with your address would be disabled. This will enable future such messages to be caught. If you later get a legitimate message from your own address and tell SpamSieve that it’s good, the whitelist rule will remain disabled. If you had previously deleted the rule instead of disabling it, telling SpamSieve that the message was good would create a new, enabled whitelist rule, which is probably not what you want.
- Hits
- The number of spam messages that the rule blocked, a rough measure of how effective it is.
When SpamSieve checks whether a message matches a rule, it compares the part of the message named by the Header column with the contents of the rule’s Text to Match column. The following are the message parts that may be used in the Header column:
- From (address)
- The e-mail address of the message’s sender.
- From (name)
- The name of the message’s sender.
- To (any address)
- The e-mail addresses of the primary recipients of the message. SpamSieve checks each recipient separately to see whether it matches the rule.
- CC (any address)
- The e-mail addresses of the carbon copy recipients of the message. SpamSieve checks each recipient separately to see whether it matches the rule.
- Reply-To (address)
- The address that you would be sending to if you replied to the message. This is often the same as the From address, but it could also be a mailing list or an alternate address for the sender. If the message does not specify a Reply-To, then the rule will not match.
- Any Recipient
- The To and CC addresses.
- Any Address
- The From, To, CC, Reply-To, and SendTo addresses.
- List-ID
- For mailing list messages, this hidden header indicates which mailing list the message was sent to.
- List-Unsubscribe
- For mailing list messages, this hidden header indicates how to unsubscribe from the mailing list. Some mailing list messages that do not have a List-ID header do have a List-Unsubscribe header.
- Mailing-List
- For mailing list messages, this hidden header indicates which mailing list the message was sent to. Some mailing list messages that do not have a List-ID header do have a Mailing-List header.
- Received (any)
- The Received headers contain information about the servers that relayed the message on its journey from the sender to the recipient.
- Return-Path
- This header contains information about where the message originated.
- Subject
- The subject of the message.
- Body (any text part)
- The contents of the message. Some messages contain more than one text part (for instance, plain text and HTML representations of the same message). The rule matches the message if any of the text parts matches the rule’s text.
- Any Character Set
The character set often indicates the language of the message. Many spam messages are sent using Asian or Cyrillic character sets, and SpamSieve is pre-configured to block these. The IANA maintains a list of character sets.
- Any Attachment Name
- Many spam messages contain attachments whose names end with .pif or .scr. SpamSieve ships with some blocklist rules pre-configured to catch messages containing spammy attachments.
There are several different ways in which SpamSieve can compare the text in the message’s header to the rule’s text. In all cases, capitalization does not matter; lowercase letters are considered the same as their uppercase counterparts.
- Is Equal to
- The message matches the rule if its text is exactly the same as the rule’s text. This is the fastest style of matching. If you leave the text blank, the rule will match messages that have blank values for that header—for example when there is an empty Subject header. Sometimes, messages (especially spam ones) omit headers. To match an omitted header, enter <SpamSieve-Unknown-Subject>, <SpamSieve-Unknown-From>, <SpamSieve-Unknown-FromName>, or <SpamSieve-Unknown-To> depending on the header selected.
- Contains
- The message matches the rule if the message text contains the rule text.
- Starts with
- The message matches the rule if the message text begins with the rule text.
- Ends with
- The message matches the rule if the message text ends with the rule text. This is useful for matching domain names. For example, to match messages sent from Apple, you could create an Ends with rule with text @apple.com.
- Matches Regex
This is like Contains, except that the rule text is treated as a Perl-compatible regular expression. Regular expressions are a powerful way of specifying patterns of text, for instance: e-mail addresses that contain numbers before the @ sign or subjects that are longer than 30 characters. For example, a Matches Regex rule with the text:
^.*(?<!^sales|^support)@domain\.com$
would match all messages where the match field ends with @domain.com but is not sales@domain.com or support@domain.com. This can be used to block messages sent to fake addresses. And this regex:
(?-i)^(Re: )?[A-Z]{2,8}, [ a-z0-9'?!]*$matches a common pattern of spam message subjects.
If the regular expression entered in the Text to Match column is invalid, SpamSieve will color it in red, and it will not match any messages.
You can edit a rule’s Header or Match Style by clicking in the corresponding column and selecting from the pop-up menu. To edit a rule’s Text to Match, double-click the text.
Training SpamSieve with a spam message adds its sender to the blocklist. You can delete a rule from the blocklist by selecting it and pressing Delete. Generally, there is little reason to delete rules; if you don’t like what a rule is doing, you should instead uncheck the rule to prevent SpamSieve from re-learning it. Also, SpamSieve is optimized such that having lots of rules does not reduce performance.
You can copy the selected rules to the clipboard or drag and drop them into another application. You can type the first few letters of a rule’s Text to Match to quickly locate that rule, or use the search field in the toolbar to focus on a group of related rules.
6.3.7 Show Whitelist
The whitelist works the same way as the blocklist except that messages sent from addresses on the whitelist are never considered to be spam. The whitelist also has special support for mailing lists. If you train SpamSieve with a good message from a mailing list, it will add a rule to the whitelist that matches the message’s mailing list header (List-ID, List-Unsubscribe, or Mailing-List). Then SpamSieve will know that all messages from that mailing list are good, regardless of who sent them.

The whitelist is most commonly used for matching messages sent from particular addresses, domains, or mailing lists. You can also use the whitelist to create codewords. For instance, you could create a rule in the whitelist that matches subjects containing “eggplant” (or some other word unlikely to occur in regular mail). You can tell select people to put “eggplant” in the subject of messages that they send you, and then you can be assured that their messages will get through, even if the sender addresses are not in your address book or whitelist.
6.3.8 Add Rule
This command creates a new rule in either the whitelist or blocklist. This is useful if you want to add your own rules to the whitelist or blocklist, rather than having SpamSieve learn the rules when you train it with messages. For example, you could create a blocklist rule to catch spam messages with a particular subject, or a whitelist rule to always accept messages sent from a certain domain.
7 Preferences
7.1 Filters
SpamSieve uses a variety of filters to determine whether messages are spam or good. It consults the filters in the order listed in this window. When a filter decides that the message is good or spam, SpamSieve stops moving down the list. Thus, the order of the filters makes a difference. You can see from the order that if a message’s sender is on the whitelist, it will be marked as good even if the Bayesian classifier would have predicted it to be spam. Normally this is what you want; the point of a whitelist is that you can be sure that certain messages will never be marked as spam.

7.1.1 Check for message in corpus
SpamSieve learns as you train it, but training is not instant. Training SpamSieve with a message will not necessarily give it enough information to classify that message correctly based only on the words in the message. However, once you have added a message to the corpus, SpamSieve knows whether it is good or spam, even though it might not make the correct prediction based on word probabilities. This option causes SpamSieve to see if it knows whether a message is good or spam before trying to calculate its spam probability. If SpamSieve has seen the message before, it will always classify it correctly. You can disable this option if you want to see what SpamSieve would have predicted if it did not already know whether the message was good or spam.
7.1.2 Use Mac OS X Address Book
With this option enabled, SpamSieve will never predict a message to be spam if its sender’s e-mail address is in the system address book.
You can add addresses to the system address book using the Address Book application (located in the /Applications folder), or directly from an e-mail program that supports the system address book.
Mailsmith and PowerMail users should be sure to enable the option to use Apple’s Address Book. Entourage users may prefer to use their address book as a whitelist instead of Apple’s. This is described in the Setting up Entourage section.
If spam messages get through to your inbox because they are sent from addresses in your address book, you can either uncheck Use Mac OS X Address Book or see Exclude my addresses.
7.1.3 Exclude my addresses
Enable this option so that spam messages with your own return address are not marked as good. (Spammers sometimes forge the return address to be your own, in an attempt to get through spam filters.) Disable this option if you send yourself messages and want to make sure that they are never marked as spam. SpamSieve looks on the “Me” card in Apple’s Address Book to determine which addresses are yours. The easiest way to add your addresses to the “Me” card is to open your mail program and then use SpamSieve’s Update Address Book “Me” Card command.
You can also use this feature to catch spam messages sent from certain addresses in your address book. Normally, if you have Use Mac OS X Address Book checked, messages from addresses in your address book will never be classified as spam. This is generally what you want, but there may be one or two particular addresses that spammers keep forging. By using Exclude my addresses and adding those addresses to the “Me” card in Address Book, you can get SpamSieve to analyze the full contents of those messages to determine whether they are spam. SpamSieve will continue to use the other addresses in the address book as before, always classifying messages from them as good.
7.1.4 Use Entourage address book
This option and the Load button are not needed if you have Entourage 11.2.3 or later and have Synchronize contacts with Address Book and .Mac checked in Entourage’s preferences.
If you have an older version of Entourage or if you do not wish to sync your Entourage contacts with the Mac OS X address book, you should:
- Go to Entourage’s Security preferences and make sure that Warn before allowing an external application to access the address book is unchecked. If there are no Security preferences in your version of Entourage, you can skip this step.
- Open SpamSieve’s Preferences window. Make sure that Use Entourage address book is checked, and click the Load button. Then click on the SpamSieve icon in the Dock and choose Update Address Book “Me” Card from the SpamSieve menu (next to the Apple menu).
With this option enabled, SpamSieve will not predict a message to be spam if its sender’s e-mail address is in the Entourage address book. However, if you have Exclude my addresses checked, addresses on the Mac OS X address book’s “Me” card will not be checked against Entourage’s address book. This helps prevent forged spams from getting through.
When you start using SpamSieve, you should click the Load button to make SpamSieve read in the addresses in the Entourage address book. (This will cause SpamSieve to launch Entourage if it is not already open.) The addresses are loaded into SpamSieve’s memory and stored in its preferences file, but they are not displayed in the Whitelist window because they are not whitelist rules.
If you have multiple Entourage identities, you can load the addresses into SpamSieve in sequence. Click Load, then change to another identity and click Load again, etc.
Whenever you add addresses to the Entourage address book, you should go back to SpamSieve’s preferences and click Load so that SpamSieve learns about the new addresses. If you remove addresses from the Entourage address book, you should hold down the Option key when clicking Load; this tells SpamSieve to forget the old addresses before loading the new ones. Do not click Load while Entourage is downloading and filtering mail, as this may cause it to freeze.
7.1.5 Use SpamSieve whitelist
Enable this option so that messages that match (enabled) rules on the SpamSieve whitelist are never marked as spam.
7.1.6 Use SpamSieve blocklist
Enable this option so that messages that match (enabled) rules on the SpamSieve blocklist are always marked as spam.
7.1.7 Use Habeas Safelist
The Habeas Safelist is list of senders who agree to only send e-mail that meets Habeas’ stringent compliance requirements. With this option checked, SpamSieve will consider a message to be non-spam if finds the sending mail server’s IP address on the Habeas Safelist. This entails contacting Habeas’ server to lookup the address, but there is little performance penalty for doing this, since SpamSieve only contacts the server when the message contains Habeas headers:
X-Habeas-SWE-1: winter into spring X-Habeas-SWE-2: brightly anticipated X-Habeas-SWE-3: like Habeas SWE (tm) X-Habeas-SWE-4: Copyright 2002 Habeas (tm) X-Habeas-SWE-5: Sender Warranted Email (SWE) (tm). The sender of this X-Habeas-SWE-6: email in exchange for a license for this Habeas X-Habeas-SWE-7: warrant mark warrants that this is a Habeas Compliant X-Habeas-SWE-8: Message (HCM) and not spam. Please report use of this X-Habeas-SWE-9: mark in spam to <http://www.habeas.com/report/>.
or:
Accreditor: Habeas X-Habeas-Report: Please report use of this mark in spam to <http://www.habeas.com/report/>
7.1.8 “ADV” messages are spam
This option causes SpamSieve to always mark messages as spam if they contain some variant of “ADV” at the start of the subject line. The “ADV” marker is used by some commercial bulk mailers.
7.1.9 Encoded HTML mail is spam
Many spammers encode the contents of their messages with base-64 so that filters cannot see the incriminating words they contain. SpamSieve can decode and look inside these messages. This option causes it to mark all such as spam, regardless of their contents, on the theory that legitimate senders do not try to obscure their messages. This does not affect messages encrypted with PGP.
7.1.10 Use Bayesian classifier
This enables SpamSieve’s main spam detector, which uses the corpus and word probabilities to identify spam messages.
7.2 Notification
All e-mail programs can notify you when you receive new messages, but some will also notify you even when all the new messages are spam. If your e-mail program is not savvy in this way, you can turn off its notification and let SpamSieve notify you only when there are new good messages.

7.2.1 Play sound
This makes SpamSieve play a sound when new good messages are received. To add a sound to the menu, copy the sound file to the Sounds folder in your Library folder. SpamSieve will also look for sounds that are built into your installed e-mail programs.
7.2.2 Bounce Dock icon
This makes SpamSieve bounce its Dock icon once when new good messages are received.
7.2.3 Keep bouncing
You might not be looking at the Dock icon when it first bounces, so this makes SpamSieve continue bouncing its Dock icon until you activate SpamSieve or your e-mail program.
7.2.4 Show number of new good messages in Dock
This option makes SpamSieve show the number of new good messages in its Dock icon. If there are no new good messages or if SpamSieve or the mail program is frontmost, SpamSieve will not show any number (rather than showing zero). Clicking the Dock icon, activating your e-mail program, or training SpamSieve with a message will reset the count.
The slider lets you control the size of the number in the Dock icon.
If you’re using DragThing 5.3 or later, SpamSieve can show the message count in its tile in DragThing’s process dock.
7.2.5 Flash PowerMate
If you have a Griffin PowerMate, this option will make it flash when new good messages arrive. The flashing will stop when you activate SpamSieve or your mail program.
To change the rate of the pulsing, open System Preferences and go to the PowerMate pane. Adjust the Rate slider in the Pulsing section of the window.
This feature is compatible with versions 1.6.4 and 2.1 of the PowerMate software.
7.2.6 A spam message is uncertain if
SpamSieve assigns each message a score between 0 and 100, and it considers messages with scores 50 or greater to be spam. The farther the score is away from the middle (50), the more confident SpamSieve is about whether the message is spam. Put another way, if you are trying to double-check SpamSieve’s work, you should focus your attention on the messages with scores closer to 50. If SpamSieve has made any mistakes, it is more likely to be with messages scored at 70 or 30 than with those scored at 95 or 5.
Spam messages that SpamSieve thought were good (false negatives) are generally easy for humans to spot. They tend to stick out amongst lots of good messages in the inbox.
Good messages that SpamSieve thought were spam (false positives) are harder to spot. They can be buried amongst piles of messages in the spam folder. To help you find these messages, SpamSieve can notify you about uncertain spam messages, i.e. the messages in the spam folder that you should focus your attention on.
The pop-up menu lets you control the range of scores that SpamSieve considers to be uncertain. For example, if you set it to 75 (the default), messages that SpamSieve thought were spam but which have scores below 75 will be considered uncertain.
- Growl will show a notification bubble for each uncertain message. For more information, see the Use Growl global notification system section.
- In Entourage, the uncertain messages will be categorized as Uncertain Junk instead of Junk and will appear in a different color. For more information, see the Spam Message Categories section.
By making it easier to spot uncertain messages, these mechanisms help you to efficiently verify whether SpamSieve has filtered your mail correctly.
Uncertain messages are considered to be spam, unless you tell SpamSieve otherwise; there is no need to train SpamSieve that they are spam.
7.2.7 Use Growl global notification system
Growl is a free, third-party package that can enhance SpamSieve’s notification abilities. Once you have downloaded and installed Growl, the next time SpamSieve is launched it will use Growl to notify you when new messages arrive. You can customize the notification style and enable/disable notifications using the Growl pane in System Preferences.

The following notifications are available:
- Good Message Count
- This notification mimics the red number in SpamSieve’s Dock icon. After a batch of good messages arrives, it tells you how many new messages there are and then fades away.
- Good Messages (in Address Book)
- This posts one notification for each good message that arrives (where the sender is in your address book), showing the message’s subject, the first few lines of its body, and (if possible) a picture of the sender.
- Good Messages (Not in Address Book)
- This posts one notification for each good message that arrives (where the sender is not in your address book), showing the message’s subject and the first few lines of its body.
- Uncertain Spam
- This notification helps you spot false positives by telling you when a message has arrived that SpamSieve thinks is spam, but that may actually be good. By watching these notifications, you can spot false positives without having to look through the entire contents of the spam folder in your mail program. Unlike the other notifications, Uncertain Spam notifications will persist until you click to dismiss them. For more information, see the A spam message is uncertain if preference.
If you are not using Growl, turn off this option in order to improve performance.
7.2.8 Include message bodies
Growl notifications always include the message’s subject and sender. This setting controls whether they also include the first few lines of the message’s body. Including the message body provides more context, which is particularly useful for Uncertain Spam notifications, but it also uses more screen space.
7.3 Training

7.3.1 Allow duplicates in corpus
If you allow duplicate messages in the corpus, training SpamSieve with the same message twice will increase the corpus counts for the words in that message. If you do not allow duplicate messages, the second and subsequent trainings with that message will have no effect. By default, duplicate messages are not allowed in the corpus. This is nice because it means that you do not have to remember which messages you have already trained SpamSieve with; accidentally training with the same message more than once will not skew the data that you are providing to SpamSieve. If you wish to intentionally skew the data, you can check one or both boxes to allow duplicates.
7.3.2 Auto-train with incoming mail
This option causes SpamSieve to automatically train itself with newly received messages based on their predicted categories. Thus, after the initial training you would only need to train SpamSieve to correct its mistakes. It would automatically learn from the other new messages, as needed, trying to keep a proper balance of good and spam messages in the corpus. As the corpus increases in size, the rate of auto-training will automatically decrease to prevent it from growing too large.
Most SpamSieve users should keep auto-training on at all times. Reasons that you might turn it off include:
- Testing Purposes
- If you’re trying to figure out why SpamSieve is processing a certain kind of message in a certain way, turning off auto-training reduces the interactions among SpamSieve’s components and makes it easier to see what’s happening.
- Unable to Correct Mistakes
- When auto-training is enabled, it is imperative that you correct SpamSieve when it makes a mistake; otherwise it will “learn” things that aren’t true and begin making predictions based on that incorrect information. If your mail program and filters are set up such that you cannot tell when SpamSieve has made a mistake (or if you can see the mistakes but sometimes forget to correct them), then you should not use auto-training.
- Multiple Copies of SpamSieve
- If you are using multiple copies of SpamSieve (on different Macs) to filter the same IMAP account, it’s hard to know which one(s) to correct when a mistake is made. With auto-training off, you don’t have to worry about that.
- Bulk Processing
- For example, if SpamSieve will be processing a large number of incoming messages in a row, and you will not be able to correct any mistakes until later. In this case, using auto-training could magnify one or two mistakes into many, as SpamSieve would assume that it had classified the earlier messages correctly, and learned from that (possibly incorrect) assumption.
- Delayed Corrections
- If it will be a long time between when SpamSieve filters some messages and when you can correct any mistakes, the situation is similar to Bulk Processing, so you may want to turn off auto-training.
7.3.3 Train SpamSieve whitelist
With this option enabled, training SpamSieve with a good message will add the message sender’s name and address to SpamSieve’s whitelist. Training SpamSieve with a spam message will disable the name and address if they appear in the whitelist.
Example: You receive an Amazon order receipt and train SpamSieve with it as a good message. This puts auto-confirm@amazon.com on the whitelist so that future order receipts are always marked as good. A spammer might decide that auto-confirm@amazon.com would make a good fake return address. If you receive such a spam, SpamSieve would mark it as good because the sender was on the whitelist. If you then tell SpamSieve that the message is spam, it will disable the whitelist rule so that it can catch future spam messages with that return address.
7.3.4 Train SpamSieve blocklist
With this option enabled, training SpamSieve with a spam message will add the message sender’s name and address to SpamSieve’s blocklist. Training SpamSieve with a good message will disable the sender’s name and address if they appear in the blocklist.
7.3.5 Train Bayesian classifier
With this option enabled, training SpamSieve with a message will add the words from that message to SpamSieve’s corpus. It is highly recommended that you train the Bayesian classifier, as it is what SpamSieve uses to catch most spam messages.
7.4 Advanced

7.4.1 Spam-catching Strategy
This slider lets you adjust SpamSieve’s bias. The bias controls how aggressive SpamSieve’s Bayesian classifier is at catching spam. When SpamSieve is more aggressive, it is better at catching spam messages that share some characteristics with your good mail. When SpamSieve is more conservative, it will be better at marking borderline messages such as order confirmations and press releases as good. This setting is very powerful, and most users should stick to the middle range. It is also not a substitute for training SpamSieve or making sure that it’s setup properly. Only change the bias if SpamSieve is consistently making errors in the same direction.
7.4.2 Save false negatives to disk
False negatives are spam messages that SpamSieve examined but didn’t think were spam. This option causes SpamSieve to save such messages for later analysis. Clicking the Show button opens the folder containing the saved messages. You can e-mail this folder, along with SpamSieve’s log file, to spamsieve-fn@c-command.com. By looking at the messages that SpamSieve missed, I can improve its algorithms to catch such messages in the future.
Note: Enabling this option will slow down SpamSieve’s processing.
Note: If the False Negatives folder is empty, even after enabling Save false negatives to disk and training SpamSieve with an uncaught spam message, there is probably a setup problem in your mail program. Use the Open Log command to see whether SpamSieve made a prediction for that message.
7.4.3 Use photo-realistic Dock icon
This option causes SpamSieve to use a more modern Dock icon, which may or may not fit in better with your other Dock icons.
7.4.4 Quit when mail client quits
With this checked, SpamSieve will quit itself when you quit an e-mail program, provided that there are no other mail programs running. This prevents SpamSieve’s icon from filling up your Dock when it’s not actually being used.
8 Frequently Asked Questions
8.1 Why is SpamSieve not catching my spam?
There are three distinct reasons why SpamSieve might not be catching your spam:
- Problems with the setup in the mail program
- SpamSieve itself may be working properly, but if it doesn’t have access to your incoming messages, it won’t be able to tell which ones are spam. Find the section below that corresponds to your mail program and make sure that the setup is correct.
- Problems with preferences
- SpamSieve may see a message and be forced to pronounce it good even if it looks spammy. For example, perhaps the message is from an address in your address book and you’ve told SpamSieve that addresses in the address book never send spam. The Open Log section describes how you can look at SpamSieve’s log to determine whether this is what’s happening and how you can send in a report if you need help interpreting the log.
- Problems with SpamSieve’s training
- SpamSieve may see the incoming spam messages but think that they don’t look spammy. The Checking the Training section has more information about this.
8.1.1 Checking the Apple Mail Setup
- If you do not see the SpamSieve training commands in Mail’s Message menu, choose Install Apple Mail Plug-In from the SpamSieve menu.
- Go to the Junk pane of Mail’s Preferences window and make sure that Enable junk mail filtering is unchecked.
- Go to the Rules pane of Mail’s Preferences window and make
sure that you’ve created a rule like the one shown in the Setting
up Apple Mail section:
- Make sure there is a check mark next to the SpamSieve rule, indicating that it’s active.
- Make sure that the rule’s name starts with SpamSieve.
- Make sure that the rule’s conditions are Message Type is Mail or Every Message.
- Drag the SpamSieve rule to the top of the list, if it isn’t there already.
- Make sure there are no other rules that move messages to the Spam mailbox.
To test that the rule works:
Select a spam message in Mail.
Choose SpamSieve - Train as Spam from the Message menu to tell SpamSieve that it is spam.
Drag the message to your inbox and select it again.
Choose Apply Rules from the Message menu.
Note: This will also apply your other Mail rules.
If the message moved to the spam mailbox after Step 4, the rule worked. SpamSieve will be able to catch other messages like this if it’s properly configured and trained.
If the message did not move to the spam mailbox, there is some other problem with Mail or SpamSieve. Please contact technical support and explain what happened when you followed these instructions.
8.1.2 Checking the Entourage Setup
- Choose Install Entourage Scripts from the SpamSieve menu and let it replace the existing files.
- Choose Junk E-mail protection from Entourage’s Tools menu and make sure it’s set to None.
- Choose Mailing List Manager from Entourage’s Tools menu. For each rule, click on the Advanced tab and make sure that Do not apply rules to list messages is unchecked.
- Choose Rules from Entourage’s Tools menu and make sure that
you’ve created two SpamSieve rules, as shown in the Setting up
Entourage section:
- Make sure that the rules are of the proper type. That is, if you have a POP mail account, you need a POP rule; if you have an IMAP account, you need two IMAP rules.
- Make sure that the SpamSieve rules are at the top of the list.
- Make sure that the SpamSieve - Move If Spam rule is above the SpamSieve - Move Messages rule.
- Make sure both SpamSieve rules have check marks next to their names, indicating that they are enabled.
- Make sure there are no other rules that move messages to the Junk E-mail folder.
To test that the rules work:
- Select a spam message in Entourage.
- Choose SpamSieve - Train Spam from the Scripts menu to tell SpamSieve that it is spam.
- Change the category of the message to None (using Edit ‣ Categories ‣ None).
- Choose Apply Rule ‣ SpamSieve - Move If Spam from the Message menu.
If the message’s category was changed to Junk after Step 4, the rule worked. SpamSieve will be able to catch other messages like this if it’s properly configured and trained.
If the message’s category did not change to Junk, there is some other problem with Entourage or SpamSieve. Please contact technical support and explain what happened when you followed these instructions.
8.1.3 Checking the Eudora Setup
The Setting up Eudora section describes how to set up Eudora to filter your mail using SpamSieve.
- Make sure that you see SpamSieve’s plug-in (and no other junk/spam plug-ins) listed when you choose About Message Plug-Ins from the Eudora menu.
- Make sure that the Junk Threshold is set to 50 and Hold junk in Junk mailbox is checked in Eudora’s Junk Mail settings.
- Make sure that Run junk scoring plugins on this IMAP account is checked in Eudora’s IMAP settings (if you have an IMAP account).
- Make sure that Mail isn’t junk if the sender is in an address book in Eudora’s Junk Mail pane is not checked.
8.1.4 Checking the Mailsmith Setup
The Setting up Mailsmith section describes how to set up Mailsmith to filter your mail using SpamSieve.
- Make sure that Use SpamSieve is checked in the preferences. For more information, see Why is the Use SpamSieve option disabled in the Spam Handling preferences?
- If you are using Leave it in “(incoming mail)”, make sure that a deposit or transfer filter isn’t acting on the spam messages before your spam filter can.
8.1.5 Checking the PowerMail Setup
Quit PowerMail, delete the folder:
/Users/<username>/Library/Application Support/PowerMail
and then re-launch PowerMail. If the script files that PowerMail uses to communicate with SpamSieve are damaged, this will fix them.
Make sure that you’ve followed the instructions in the Setting up PowerMail section.
- Make sure that the conditions for the Spam: evaluate filter are not excluding the messages that you want SpamSieve to filter. For example, try editing the filter so that it has just a single condition that says Always.
- Make sure that the Spam: evaluate filter is at the top of the list.
- Make sure that the Spam: actions filter is directly below the Spam: evaluate filter.
To test that the setup works:
- Select a spam message in PowerMail.
- Choose Mark as Spam from the Mail menu to tell SpamSieve that it is spam.
- Choose Perform Filter ‣ Spam: evaluate from the Mail menu.
- Click on SpamSieve’s icon in the Dock. Then choose Open Log from the SpamSieve menu.
The setup is correct if the last entry in the log says Predicted: Spam and shows the subject for the message that you had selected. SpamSieve will be able to catch other messages like this if it’s properly configured and trained.
Otherwise, there is some other problem with PowerMail or SpamSieve. Please contact technical support and explain what happened when you followed these instructions.
8.1.6 Checking the Thunderbird Setup
The Setting up Thunderbird section describes how to set up Thunderbird to filter your mail using SpamSieve.
- Make sure that Do not mark mail as junk if the sender is in… is not checked.
- Make sure that Trust junk mail headers set by… is not checked.
To test that the setup works:
- Select a spam message in Thunderbird.
- Choose Mark ‣ As Junk from the Message menu.
- Drag the message to your inbox and select it again.
- Choose Mark ‣ Run Junk Mail Controls from the Message menu.
If the message moved to the junk mailbox after Step 4, the setup is correct. SpamSieve will be able to catch other messages like this if it’s properly configured and trained.
If the message did not move to the junk mailbox, there is some other problem with Thunderbird or SpamSieve. Please contact technical support and explain what happened when you followed these instructions.
8.1.7 Checking the Training
SpamSieve is nearly 100% accurate, but only when properly trained. Here’s how you can check the training:
Choose Show Statistics from the Filter menu. Does the Corpus section show at least 100 spam messages and 100 good messages? If not, follow the instructions in the Do an Initial Training section.
If SpamSieve has misclassified any messages, it needs to know this or its accuracy will decline. This is described in the Correct All Mistakes section. If SpamSieve misclassified some messages and you have not yet corrected its mistakes, do so now. If you’ve already deleted the misclassified messages, it’s too late to correct the mistakes; choose Reset Corpus from the Filter menu and then follow the instructions in the Do an Initial Training section.
Check the percentage of spam messages in the Corpus section of the Statistics window. It should be between 55% and 75%. If not, train SpamSieve with more spam or good messages so that the percentage is in this range.
Check the number of spam and good messages in the Corpus section of the Statistics window. If the corpus is very large (more than 4,000 messages) and SpamSieve is not catching your spam, the corpus may contain incorrect or obsolete messages that reduce SpamSieve’s effectiveness and make it slower to adapt. Choose Reset Corpus from the Filter menu and then follow the instructions in the Do an Initial Training section.
Note: You should only reset the corpus after you’ve checked that the problem isn’t with setup in the mail program or with the preferences.
8.2 Why is every message going to the Spam mailbox?
- Apple Mail
- Make sure that you have installed SpamSieve’s Apple Mail plug-in.
- Make sure that you’ve disabled Mail’s built-in junk mail filter.
- Make sure that the only spam/junk rule that you have in Mail’s preferences is SpamSieve.
- The name of the SpamSieve rule in Apple Mail must begin with “SpamSieve”. Make sure that there are no leading spaces in the name. If the rule name does not begin with “SpamSieve”, Mail will move every message to the Spam mailbox without even showing the messages to SpamSieve.
- Entourage
- Make sure that you’ve disabled Entourage’s built-in Junk Mail Filter.
- Make sure that the SpamSieve rule in Entourage are setup exactly as shown.
- Make sure that the only spam/junk rules that you have in the Rules window are the two SpamSieve rules.
8.3 What information should I include when I report a problem?
Make sure that your message says which versions of Mac OS X and SpamSieve you are using, as well as the name and version of your mail program.
Open the Console application (in the Utilities folder) and check the All Messages area for errors from your mail program or SpamSieve.
If the problem concerns SpamSieve’s training or its accuracy, please attach the log file:
/Users/<username>/Library/Logs/SpamSieve/SpamSieve Log.log
to your message. That is, the file is called SpamSieve Log.log, and it is located inside the SpamSieve folder in the Logs folder in the Library folder that’s in your home folder. (In most cases there’s no need to attach the old, dated log files, whose names end with .log.bz2.)

If you are reporting spam messages that SpamSieve didn’t catch, please do not forward the messages using your mail program. Instead, enable the Save false negatives to disk preference so that SpamSieve will save future such messages to the folder:
/Users/<username>/Library/Application Support/SpamSieve/False Negatives/
Then send the files in this folder to spamsieve-fn@c-command.com as an attachment. If, after enabling the preference, a spam message gets through and is not saved in the False Negatives folder, this likely means that there is a setup problem and SpamSieve was not given an opportunity to filter that message.
If the problem concerns SpamSieve’s setup and interaction with your mail program, please include relevant screenshots of the SpamSieve rule, the rules list, or the message list. To take a screenshot, hold down the Apple and Shift keys and press the number 4. Then use the mouse to select the area of the screen that you want to take a picture of. This will create a file called Picture 1 on your desktop. Pressing the keys again will create Picture 2, etc.
8.4 How can I copy my training data to another machine?
SpamSieve stores its training data in the folder:
/Users/<username>/Library/Application Support/SpamSieve/
and it stores its preferences in the file:
/Users/<username>/Library/Preferences/com.c-command.SpamSieve.plist
To transfer SpamSieve’s data to another machine, first quit both copies of SpamSieve. Then copy the folder and the preferences file to the corresponding locations on the other machine.
When copying your SpamSieve setup to a Mac that didn’t previously have SpamSieve installed, you’ll need to put the SpamSieve application file in the Applications folder and do the setup in your mail program, but you can skip the initial training process because of the files that you copied above.
8.5 Can I delete spam messages after training SpamSieve with them?
Yes. It is not necessary to keep the spam messages in your e-mail program’s spam folder because SpamSieve stores the information that it has extracted from the messages elsewhere.
8.6 Why doesn’t my serial number work?
You need to enter the serial number name and serial number exactly as they appear on your order confirmation e-mail. If you no longer have this e-mail, you can look up the name and number. Launch SpamSieve and choose Purchase from the SpamSieve menu. Then click the Lost Your Serial Number? button.
8.7 How can I hide SpamSieve’s Dock icon?
The easiest way is to use the free Dockless utility: wait for Dockless to generate a list of your applications, find SpamSieve in the list, uncheck the box next to it, and quit. When SpamSieve’s Dock icon is hidden, its menu bar is inaccessible, but a new command called SpamSieve - Open Window will appear in Apple Mail’s Message menu after quitting and relaunching Apple Mail. This lets you configure SpamSieve’s preferences, view the statistics, and access other parts of SpamSieve’s user interface. With other mail programs, you will need to use this script in order to do that.
Alternatively, you can do this manually. Hold down the Control key and click on the SpamSieve icon in the Finder. Choose Show Package Contents from the menu. Open the Contents folder, and then open the Info.plist file using TextEdit. At the bottom of Info.plist, change:
<key>LSUIElement</key> <string>0</string>
to:
<key>LSUIElement</key> <string>1</string>
(That is, just change the 0 to 1.) Then save the Info.plist file and relaunch SpamSieve. You may need to temporarily move the SpamSieve application to the desktop and double-click it there in order for Mac OS X to notice that you now want the Dock icon hidden. To make SpamSieve’s Dock icon visible again, change the Info.plist file back; that is, change the 1 back to 0.
If you download a new copy of SpamSieve, it will have a new Info.plist file, so you would need to make the above change again if you still want SpamSieve’s Dock icon to be hidden.
8.8 Can I use SpamSieve with more than one mail program at a time?
Yes; many people do this to separate their personal and business mail, and you can even use the two mail programs simultaneously. You just need to follow the setup instructions once for each mail program. SpamSieve will share its training data, rules, and statistics among all the mail programs.
8.9 Why doesn’t SpamSieve launch when I open my mail program?
This is probably normal. SpamSieve only launches automatically when there is new mail to be processed, or when you train it. Of course, you can manually launch SpamSieve at any time or make it a startup item.
9 Legacy Mail Programs
The following mail programs are discontinued, but they can still be used with SpamSieve.
9.1 Setting up Emailer
Choose Show Other Scripts from SpamSieve’s SpamSieve menu. Copy the files from the For Emailer Users folder into Emailer’s AppleScripts folder:

You may need to quit and re-launch Emailer in order for it to notice that you have installed the SpamSieve AppleScripts.
If you want SpamSieve to color messages that it thinks are spam, set up a mail action in Emailer that looks like this (using the Define Actions… button to set the “Run the AppleScript” action):

If, instead, you want SpamSieve to move suspected spam messages to a Spam folder (that it creates automatically), set up a mail action in Emailer that looks like this:

Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose SpamSieve - Train Spam from Emailer’s Scripts menu. To train SpamSieve with good messages, select one or more of them and then choose SpamSieve - Train Good from Emailer’s Scripts menu.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose SpamSieve - Color If Spam or SpamSieve - Move If Spam from Emailer’s Scripts menu.
9.2 Setting up Entourage v.X
Go to Entourage’s Tools menu and select Junk Mail Filter. Turn off Entourage’s junk filter unchecking Enable Junk Mail Filter.
Double-click the SpamSieve application and choose Preferences from the SpamSieve menu. Make sure that Use Entourage address book is checked, and click the Load button. Then click on the SpamSieve icon in the Dock and choose Update Address Book “Me” Card from the SpamSieve menu (next to the Apple menu).
Choose Install Entourage Scripts from the SpamSieve menu. Quit and re-launch Entourage; then you should see four SpamSieve items in Entourage’s Scripts menu:

Now, set up a mail rule in Entourage that looks like this:

To do this, choose Rules from Entourage’s Tools menu. Click on the tab corresponding to the type of account you have (e.g. POP). If you have more than one kind of account, you will need to create an identical rule for each account type. Click the New button. Change the name of the rule to SpamSieve - Move If Spam. Then click just to the left of Change status to select the first action. Click Remove Action to delete the Change status action. Click on the menu that says Set category and select Run AppleScript. Then click the Script… button and Select the SpamSieve - Move If Spam\cmM file. This file is stored in the Entourage Script Menu Items folder (which is probably inside the Microsoft User Data folder inside your Documents folder):

Note: It is important that you create the rule exactly as shown. Do not add additional actions below the action that runs the AppleScript. Such actions would apply to all messages (not just spam ones), which is probably not what you want.
Click OK and drag the SpamSieve rule to the top of the list.
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose SpamSieve - Train Spam from Entourage’s Scripts menu. To train SpamSieve with good messages, select one or more of them and then choose SpamSieve - Train Good from Entourage’s Scripts menu. The keyboard shortcuts for these commands are Command-Control-S and Command-Control-G.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Apply Rule ‣ All Rules from the Message menu.
The above is all you need to know about using SpamSieve with Entourage. The Entourage Customization section explains some more advanced setup options.
- IMAP Accounts
Entourage v.X does not support moving IMAP (or Hotmail or Exchange) messages via AppleScript. Thus, if you have one of these types of accounts, the spam messages will not be moved to your Junk E-mail folder. The best solution is to update to Entourage 2004 or 2008, which do not have this limitation. If you do not wish to do this, here are some possible workarounds:
- If you do not require IMAP, you can try creating a POP account in Entourage and re-entering your account information. Many IMAP accounts also work via POP, and this will allow SpamSieve to move the messages that it thinks are spam.
- Create an Entourage rule that moves messages that SpamSieve has marked as junk into another folder. After receiving mail, manually apply this rule to the messages in your IMAP account.
- Make a mail view of your IMAP account that looks for messages that are not junk. In this way, you can view your good messages without being distracted by the spam ones.
- Rule Tips
Once an Entourage v.X rule runs an AppleScript or moves a message, it cannot apply any more rules to that message. This limitation means that extra steps are necessary to integrate SpamSieve into a complex set of Entourage rules. The easiest solution is to update to Entourage 2004 or 2008, which are more flexible about how they handle AppleScript rules. If you do not wish to do this, here are some possible workarounds:
One option is to order your rules so that Entourage applies the SpamSieve rule after all your other rules. You can change the order of the rules by choosing Rules from Entourage’s Tools menu and dragging the rules in the list to change their order. With this approach, you can filter your good messages into folders however you want. Any mail that is not moved into another folder will remain in your inbox. Then, the SpamSieve rule will either mark the spams as junk or move them to a Junk E-mail folder. The disadvantage to this approach is that SpamSieve cannot catch any spams among the messages that were moved by your other rules.
Another option is to add the Run AppleScript action to each rule that moves messages. For instance, suppose you have a rule that moves all the messages from your Work Account account into a Work folder. You could set up the rule as shown below.
Now, messages sent to that account will be moved to the Work folder. Spam messages sent to that account will be moved to the Junk E-mail folder. You can add the SpamSieve AppleScript action to every rule that moves messages and also to a “catch-all” rule that applies to messages that aren’t moved. Then SpamSieve will be able to filter all the messages that you receive.

9.3 Setting up Eudora 5.2
Using SpamSieve with Eudora 6 is highly recommended. However, SpamSieve can also work with Eudora 5.2, and some Eudora 6 users may prefer the configuration described here because it is more customizable.
Choose Show Other Scripts from SpamSieve’s SpamSieve menu. Move the SpamSieve Eudora Helper file in the For Eudora 5.2 Users folder to the Applications folder of your hard disk. You will need to launch this applet the first time you use SpamSieve with Eudora.
Also in the For Eudora 5.2 Users folder is the Uninstall Eudora Helper file. Run this applet if you no longer want to use SpamSieve with Eudora.
Create a mailbox in Eudora called Spam that is at the same level as the In mailbox. When you receive new spam messages, SpamSieve will move them to the Spam mailbox. It will also mark good messages by setting their priority to lowest (indicated by two downward pointing carets) and mark spam messages by setting their status to transfer error (indicated by a red “X”).
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them. Choose the Filter Messages command in Eudora’s Special menu. Then double-click Train Spam.

To train SpamSieve with good messages, select one or more of them. Choose the Filter Messages command from Eudora’s Special menu. Then double-click Train Good.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select one or more of them. Choose the Filter Messages command in Eudora’s Special menu. Then double-click Filter.
- Setting Options
By configuring the SpamSieve Eudora Helper applet, you can tell SpamSieve to process your good messages and spam messages in other ways. First, quit the applet. Then open it using the Script Editor program in the AppleScript folder of your Applications folder. The top of the script contains the following lines:
property moveToSpamFolder : true -- moves spams to a "Spam" mailbox property markSpamMessages : true -- marks spams with red x property markSpamMessagesRead : false -- marks spams as "already read" property labelSpamMessages : false -- colors spam messages brown property markGoodMessages : true -- marks good messages with carets property labelGoodMessages : false -- colors good messages green property removeSpamMessagesFromServer : false
You can change a false to true or a true to false to set the options the way you want. For instance, to have SpamSieve not move spam messages into a separate mailbox, change the true in the first line to false. When you are finished making changes, choose Save in Script Editor’s File menu, close the window, and then re-launch the SpamSieve Eudora Helper.
Script Editor 2.0 cannot edit the SpamSieve Eudora Helper applet. To customize the applet, use Script Editor 1.9 or a third-party script editor.
- Eudora Limitations
The following limitations are due to problems with Eudora’s “notification” interface. Because of these limitations it is recommended that you use Eudora 6 and the SpamSieve Eudora Plug-In. The plug-in avoids these limitations.
- Eudora gives messages to SpamSieve after all the other filters have run. It is not possible to change this ordering.
- SpamSieve cannot filter messages that are moved by other filters. For instance, if you have a filter that moves incoming messages from Steve Jobs to a separate mailbox, SpamSieve will not mark any of those messages as spam, even if a spammer pretends to be Jobs. This limitation applies to both automatic filtering of incoming mail and manual filtering of selected messages.
- Sometimes the wrong message is marked. That is, SpamSieve may decide that message A is spam and ask Eudora to mark it with a red “X”; in rare circumstances, Eudora will instead mark some other message B with the “X.” You can tell if this has happened by comparing SpamSieve’s log to the way the messages are marked in Eudora. This problem seems to occur when the In mailbox is sorted.
- Sometimes SpamSieve never sees a message that should have been filtered. You can tell if this has happened by the absence of that message in the log. It may help to remove any “notify user” filter action that you have set up.
- Sometimes SpamSieve determines that a message is good or spam, but Eudora does not mark it at all. You can tell if this has happened by comparing SpamSieve’s log to the way the messages are marked in Eudora.
- SpamSieve cannot add or filter messages that are stored in the Trash mailbox or in mailbox files outside the Mail Folder folder in the Eudora Folder. Note that this includes all IMAP messages. To access these messages, first move them to a non-trash mailbox file that is stored inside the Mail Folder folder.
- If you manually apply filters while Eudora is in the process of downloading mail, Eudora will show the SpamSieve dialog box twice. If this happens, just choose Skip the second time.
- Sometimes Eudora erroneously shows the SpamSieve dialog when you check for new mail.
- Sometimes after a long delay in talking to the mail server, Eudora stops notifying SpamSieve when it receives new messages. You can work around this by quitting and re-launching the SpamSieve Eudora Helper.
9.4 Setting up Outlook Express
- Choose Show Other Scripts from SpamSieve’s SpamSieve menu. Copy the files from the For Outlook Express 5 Users folder to the Script Menu Items folder inside the Microsoft User Data folder (which is likely in your Documents folder).
- Follow the instructions in the Setting up Entourage v.X section, beginning with Step 4.
9.5 Setting up PowerMail 4
Choose Show Other Scripts from SpamSieve’s SpamSieve menu. Copy the files from the For PowerMail 4.x Users folder to the PowerMail Scripts folder inside the PowerMail Files folder. The PowerMail Files folder is probably located in your Documents folder.

If you want SpamSieve to label messages that it thinks are spam, set up a filter in PowerMail that looks like this:

If, instead, you want SpamSieve to move suspected spam messages to a Spam folder (that it creates automatically), set up the filter to use the SpamSieve - Move If Spam script instead.
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose SpamSieve - Train Spam from PowerMail’s Scripts menu. To train SpamSieve with good messages, select one or more of them and then choose SpamSieve - Train Good from PowerMail’s Scripts menu.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose SpamSieve - Label If Spam or SpamSieve - Move If Spam from PowerMail’s Scripts menu.
- IMAP Accounts
- PowerMail does not support moving IMAP messages via AppleScript. Thus, if you use IMAP the SpamSieve - Move If Spam script will not move spam messages into your Spam folder. IMAP users should create the rule that uses the labeling script.
9.6 Setting up Thunderbird 1.5
Choose Install Thunderbird Plug-In from SpamSieve’s SpamSieve menu.
Launch Thunderbird. Choose Extensions from the Tools menu.
Click the Install button in the window that just opened. Thunderbird will ask you to select a file.
Click on Desktop, select the SpamSieve Thunderbird Plug-In.xpi file, and click Open.
Click the Install now button.
Quit Thunderbird and re-launch it. If you now go to the Tools menu and choose Extensions you should see the SpamSieve Thunderbird Plug-In listed there. Next to it will be the version of the plug-in. The current plug-in version is always listed at the bottom of SpamSieve’s about box. You can now delete the SpamSieve Thunderbird Plug-In.xpi file from your desktop.
Choose Junk Mail Controls from the Tools menu. You can now configure the junk filtering settings for your different accounts. On the Settings tab, make sure that:
- Trust junk mail headers set by is unchecked.
- Move incoming messages determined to be junk mail to is checked.
- When I manually mark messages as junk is checked.
- When displaying HTML messages marked as junk, sanitize the HTML is checked.
On the Adaptive Filter tab, make sure that Enable adaptive junk mail detection is checked.
Now proceed to the Do an Initial Training section. To train SpamSieve with spam messages, select one or more of them and then choose Message ‣ Mark ‣ As Junk or click the Junk button in the toolbar. To train SpamSieve with good messages, select one or more of them and then choose Message ‣ Mark ‣ As Not Junk or click the Not Junk button in the toolbar.
SpamSieve will process new mail automatically. If you ever need to manually ask it to sift through a mix of spam and good messages, select the messages and choose Message ‣ Mark ‣ Run Junk Mail Controls.
10 Legal Stuff
Distribution
Please distribute the unmodified SpamSieve-2.7.4.dmg file on the Web, LANs, compilation CD-ROMs, etc. You may not charge for it (beyond a reasonable cost for media) or distribute the contents of the disk image file in isolation. You may not distribute your serial number.
Limited Warranty
The software is provided “as is,” without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.
License
A license for SpamSieve is good for one person or one computer. You may install it on one Mac, and everyone sharing that Mac may use it (on that Mac). Alternatively, you may install it and use it on multiple Macs (e.g. your desktop Mac and your laptop); then you (and no one else) may use it on any of those Macs. For multiple users on multiple Macs, you should purchase multiple licenses.
Copyright and Trademarks
SpamSieve and this manual are copyright © 2002–2009 by C-Command Software. All rights reserved.
SpamSieve is a trademark of C-Command Software. Mac is a registered trademark of Apple Computer. All other products mentioned are trademarks of their respective owners.
Components
The following open-source components are used in SpamSieve:
Regular expression support is provided by the PCRE library package, which is open source software, written by Philip Hazel, and copyright by the University of Cambridge, England.
Core Foundation is available under the terms of the Apple Public Source License.
Growl is Copyright © The Growl Project, 2004-2007 All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of Growl nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Thanks to Allan Odgaard for some code snippets that are used in the Software Update installer.
EDCommon is Copyright © 1999—2002 by Erik Doernenburg. All rights reserved. Permission to use, copy, modify and distribute this software and its documentation is hereby granted, provided that both the copyright notice and this permission notice appear in all copies of the software, derivative works or modified versions, and any portions thereof, and that both notices appear in supporting documentation, and that credit is given to Erik Doernenburg in all documents and publicity pertaining to direct or indirect use of this code or its derivatives.
EDMessage is Copyright © 2000—2002 by Erik Doernenburg and Axel Katerbau. All rights reserved. Permission to use, copy, modify and distribute this software and its documentation is hereby granted, provided that both the copyright notice and this permission notice appear in all copies of the software, derivative works or modified versions, and any portions thereof, and that both notices appear in supporting documentation, and that credit is given to Erik Doernenburg in all documents and publicity pertaining to direct or indirect use of this code or its derivatives.
11 Version History
- 2.7.4—April 13, 2009
- Improved compatibility with pre-release versions of Mac OS X 10.6 (Snow Leopard).
- SpamSieve is better able to recover from corpus files that were damaged due to disk errors.
- Improved the Entourage installer’s error handling.
- Improved the error reporting when saving the corpus.
- Improved the troubleshooting instructions.
- Fixed a problem where messages trained as good in Apple Mail could be moved into the inbox of a disabled account.
- Fixed a bug that could cause harmless error messages to be logged to the Console when playing System 7 sound files.
- The crash reporter now warns before sending a report without an e-mail address.
- You can now press Enter to click the Send Report button in the crash reporter.
- 2.7.3—January 26, 2009
- Rewrote and restructured the manual to make the setup and troubleshooting instructions clearer.
- Replaced the Training Tip window with an alert that’s displayed when SpamSieve’s corpus is empty. This goes along with the more explicit guidance that ongoing training is only necessary to correct mistakes.
- The Entourage installer no longer asks before replacing existing script files. If you want to customize the scripts (rare these days, since there are so many built-in configuration options), you should use copies with different names to avoid having SpamSieve overwrite them.
- Changed the recommended Entourage rule setup to better handle uncertain messages. The installer now creates the Uncertain Junk category if necessary.
- Made the Apple Mail plug-in installer more robust.
- Worked around a problem parsing certain multipart messages.
- Adjusted the built-in blocklist rules for better accuracy.
- Reduced memory usage when processing message attachments.
- Fixed a bug sorting in rules windows.
- Fixed a bug marking incoming Entourage messages as Uncertain Junk.
- Updated the localizations.
- 2.7.2—October 29, 2008
- Made various accuracy improvements.
- Improved compatibility with pre-release versions of Mac OS X 10.6 (Snow Leopard). There are now two separate versions of SpamSieve’s Apple Mail plug-in. Version 1.3 is for Mac OS X 10.4; version 1.4 is for Mac OS X 10.5 and later. SpamSieve will auto-choose which one to install (or update) based on the version of Mac OS X that you’re running.
- Added new sections to the manual about Whitelisting Previous Recipients and iPhone Spam Filtering. Expanded the Auto-train with incoming mail section.
- Worked around a problem where the Edit Log command would try to open SpamSieve’s log using Script Editor if Launch Services was confused.
- Rewrote filesystem code to improve performance and error reporting.
- If there’s an error getting the downloads folder for a software update, SpamSieve now defaults to Downloads rather than Desktop.
- Worked around a problem where training (using Apple Mail on Mac OS X 10.5) could be interrupted.
- Added Korean localization.
- Moved .nib files that don’t need localization out of the English.lproj folder. This should make it easier to run SpamSieve in a language other than English without changing the default language on your Mac.
- Fixed some small memory leaks.
- Improved reporting of unexpected errors.
- Added placeholder text to the Purchase window.
- Added Help button to the Software Update window.
- 2.7.1—June 4, 2008
- Fixed a regression in version 2.7 where SpamSieve was slow loading certain large corpus files when running on Mac OS X 10.5.
- Worked around a bug in Mac OS X 10.4 that could cause a crash when training a message with Apple Mail.
- Made some minor accuracy improvements.
- 2.7—May 21, 2008
- Now requires Mac OS X 10.4 or later.
- Made a variety of accuracy improvements, focused on dealing with obfuscations, image attachments, URLs, and HTML.
- Improved corpus speed and memory use.
- Made various improvements to the column widths and alignments in the rules and corpus windows, and added alternating row colors.
- Fixed a rare problem where Apple Mail on Mac OS X 10.5 might hang if you trained a message as spam while Mail was downloading messages.
- If the OS reports an error when playing a sound as an alert sound, SpamSieve now plays it using the normal sound channel.
- Increased the range of possible values for the uncertain spam threshold.
- Improved sorting of sound names in the pop-up menu.
- Fixed bug where SpamSieve wouldn’t launch if the Microsoft User Data folder had been replaced by an alias file that was invalid.
- No longer shows the Reset Corpus/History alert at launch if you hold down other modifier keys in addition to Command-Option.
- Updated the Dutch localization.
- 2.6.6—January 23, 2008
- Made various accuracy improvements.
- Rewrote internal corpus storage to work around a performance bug in Mac OS X 10.5 that could, in some circumstances, make SpamSieve very slow to launch.
- Worked around a problem on Mac OS X 10.5 where the Apple Mail plug-in would sometimes try to launch multiple copies of SpamSieve (and then they’d all self-quit, leading to -609 errors).
- Made some internal changes so that Use Growl global notification system works more reliably on Mac OS X 10.5.
- The Flash PowerMate notification feature now works with version 2.1 of the PowerMate software.
- If SpamSieve’s corpus file or history database is damaged, you can now hold down the Command and Option keys at launch to reset them.
- Growl notifications are now posted from a background thread, to speed up message filtering.
- Fixed bug where the open panel for the Import Addresses… command was slow.
- Worked around a problem that could cause corruption of SpamSieve’s Entourage scripts.
- Fixed rare crash when processing HTML messages.
- If SpamSieve is unable to install its Apple Mail plug-in, it now does a better job of helping you complete the installation manually.
- Integration with Apple Mail and Entourage no longer relies on the mydefaults command-line tool, since it had some limitations and there were occasional problems installing it.
- The software updater is better at handling invalid downloads folders.
- Added Dutch localization and updated the other localizations.
- 2.6.5—November 14, 2007
- Now requires Mac OS X 10.3 or later.
- Made various accuracy improvements.
- Added high-resolution version of the application icon.
- Adjusted the appearance of the status indicators (•, G, S) for better visibility in the Leopard Dock.
- Updated the default whitelist rules.
- Updated documentation for Mac OS X 10.5.
- Updated to PCRE 7.4.
- Improved compatibility with pre-release versions of Entourage 2008.
- The Train as Good command in Apple Mail now recognizes spam mailboxes whose names end with “Spam”, and it works with the Trash mailbox on Mac OS X 10.5.
- Worked around change in Apple Mail on Mac OS X10.5 that could cause the Train as Spam command not to move the messages.
- Fixed bug where the Apple Help didn’t work on Mac OS X 10.5.
- Fixed hang processing some pathological HTML spams.
- Fixed bug where Growl notification preferences got reset if you ran SpamSieve under different localizations.
- Fixed unnecessary Console logging when loading Entourage addresses.
- Updated Italian localization.
- 2.6.4—August 20, 2007
- Made more accuracy improvements for messages with attachments.
- Fixed a bug that could cause crashes when processing messages containing PDF attachments.
- Updated localizations.
- 2.6.3—August 3, 2007
- Made various accuracy improvements, particularly for messages with attachments.
- Improved compatibility with pre-release versions of Mac OS X 10.5 Leopard.
- Fixed bug where the Software Update checker didn’t always re-check for new updates.
- Restored progress bar when loading Entourage addresses.
- Updated the localizations.
- Improved the documentation.
- Fixed help book icon.
- 2.6.2—May 4, 2007
- Made changes to prevent a crash on Mac OS X 10.4.9 when quitting in response to a mail program quitting.
- Slight changes for better accuracy.
- Fixed regression where the Import Addresses… command didn’t always work for text files in the default encoding.
- Blocklist and whitelist rules that use Body (any text part) can now match text from the headers of bounced messages (which e-mail clients often display as part of the message body).
- The Software Update feature now checks whether the updated version can run on your installed version of Mac OS X.
- Better logging of messages that don’t have a sender.
- Fixed a threading bug.
- Made an optimization to the Apple Mail plug-in.
- Adjusted the setup instructions for Apple Mail to avoid problem with the Previous Recipients list.
- Modernized the crash reporter code.
- Updated the French and German localizations.
- 2.6.1—April 9, 2007
- Fixed regression where SpamSieve wouldn’t launch if you had a large number of Mac OS 9 sound files.
- Fixed bug where Thunderbird messages that were manually marked as junk weren’t moved to the junk folder. If you are using Thunderbird, first update to SpamSieve 2.6.1, then choose Install Thunderbird Plug-In from the SpamSieve menu to update the plug-in.
- Made change prevent crash on Mac OS X 10.4.9 when quitting in response to a mail program quitting.
- 2.6—March 19, 2007
- SpamSieve now works with Mozilla Thunderbird.
- Improved detection of image spams and phishing messages.
- Made various message analysis improvements to increase the accuracy of the Bayesian filter.
- AppleScripting the whitelist and blocklist is much more efficient for scripts that access a lot of rules.
- Improved compatibility with pre-release versions of Mac OS X 10.5 Leopard.
- When installing a plug-in for a mail program, SpamSieve now opens the relevant page of the Apple Help to help you complete the installation.
- The alert when SpamSieve has auto-updated its Apple Mail plug-in is now non-modal, so it doesn’t interfere with spam filtering.
- The Software Update checker now works behind an HTTP proxy, and the auto-updater is now compatible with FileVault.
- Can now import addresses from the incorrectly encoded .vcf files that are generated by recent versions of Address Book.
- Growl notifications are now enabled by default.
- The Apple Mail plug-in is more robust.
- Fixed some small memory leaks.
- Made some performance optimizations to the message tokenizer.
- SpamSieve is more robust when processing incomplete messages.
- The Entourage “Train Good” command now moves messages out of the Uncertain Spam folder.
- The Apple Mail “Train as Good” command now moves messages out of zSpam mailboxes.
- Updated to PCRE 7.0.
- 2.5—October 30, 2006
- Made lots of changes to the parser and classifiers to improve accuracy, especially for HTML and image messages.
- The in-memory corpus representation is much more efficient, which should lead to lower memory use and greater speed.
- Rewrote the Software Update feature. When a new version is available, it can now show you the release notes. SpamSieve now downloads the new version itself, rather than relying on your browser. On 10.3 and later, the Download & Install button will cause SpamSieve to auto-update itself to the latest version.
- Improved accuracy on messages containing misspelled words.
- Now requires Mac OS X 10.2.8 or later.
- Auto-training now places a higher priority on corpus balance compared to learning from novel messages.
- Improved the Apple Mail plug-in’s Train as Good script to work around a bug in Mail.
- Improved the reliability of the Apple Mail training commands.
- Made further changes to improve the success rate of the Apple Mail plug-in installer.
- Updated to PCRE 6.7.
- Entourage training progress messages no longer block if Entourage is in the background.
- Worked around OS bug that prevented the Statistics sheet from properly parsing dates when the user’s date format started with a two-digit year.
- No longer quits with an internal error if the mydefaults tool can’t be installed.
- Added keyboard shortcut for Hide Others.
- Fixed bug with Purchase window sheet.
- Removed some old, unused code.
- Updated the toolbar icons.
- Various localization and documentation improvements.
- Fixed bug with display of remaining demo time.
- The Entourage script installer is more robust when contacting Entourage via AppleScript fails.
- Improved compatibility with Leopard.
- The date in the Statistics window more closely matches the user’s preferences (10.4 and later).
- Better at detecting damaged corpus files (instead of crashing).
- Fixed bug where Uncertain Spam growls were always sent, even if disabled in SpamSieve’s preferences.
- Adjusted workaround for Help Viewer bug.
- Increased the maximum width of the Hits column in rule list windows.
- Added thousands separators throughout the Statistics, Corpus, and rules windows.
- Fixed bug where adding a rule didn’t create a new rule if there was already a rule with a blank “Text to Match.”
- Fixed rare crashing bug when performing operations during idle time.
- Removed the Import Messages command (which let you train SpamSieve directly from a file in mbox format), because there are now very few situations where it is useful, and it was confusing people.
- Added screenshot showing where to find Entourage scripts.
- 2.4.4—July 13, 2006
- Made various changes to improve SpamSieve’s accuracy, particularly when processing blank messages, HTML messages, and messages containing images.
- The following strings may now be used in rules to match headers that are missing: <SpamSieve-Unknown-Subject>, <SpamSieve-Unknown-From>, <SpamSieve-Unknown-FromName>, <SpamSieve-Unknown-To>. It is somewhat common for messages to have a blank subject (which can be matched using the empty string), but legitimate messages that omit the Subject for From header are rare, and now these can easily be matched by creating the appropriate rules on the blocklist.
- Quit when mail client quits is now enabled by default.
- Log entries are now abbreviated when the string that matched the rule is long.
- The Apple Mail Train as Good command can now move messages out of submailboxes of the Junk mailbox.
- The Apple Mail plug-in installer works better when the folder permissions are messed up.
- Can now auto-recover from damaged message store files, rather than complaining to the user about them.
- If SpamSieve is hidden when launched, it will refrain from opening the Training Tip window.
- Improved the documentation, training tips, and localizations.
- Various code modernization and bullet-proofing throughout.
- Fixed localization bugs that could cause crashes.
- Fixed crash when hiding the progress panel.
- Fixed crash when saving false negatives to disk.
- Made changes to the Entourage scripts to try to work around an OS bug that causes them to grow and eventually become corrupted.
- Worked around OS bug to prevent freezes when attempting to play damaged sound files.
- 2.4.3—March 30, 2006
- Improved SpamSieve’s accuracy by counteracting various spammer tricks.
- Removed the delay, when using Apple Mail on Tiger, between choosing “Train as Good” or “Train as Spam” and when training actually started.
- The Entourage scripts now report progress part way through bulk trainings and allow you to cancel. They also warn if it looks like you’re training SpamSieve with too many messages, and they’re better at preventing duplicate categories from being created in Entourage. The “Train Spam” script now removes the spam messages from the server.
- Growl notifications from people in the address book now include the “To” address for mailing list messages. This makes it easier to decide whether to ignore the notification.
- Fixed bug that caused part of SpamSieve’s corpus to be written to disk incorrectly when running on Intel. In most cases, no ill effects would have been observed, and SpamSieve will repair the corpus file the first time you launch 2.4.3.
- Improved the error messages.
- Improved the display of the demo time remaining.
- Updated the localizations.
- 2.4.2—February 23, 2006
- SpamSieve is now much better at catching a new type of spam message that previous versions had been inconsistent at catching.
- Worked around some more spammer tricks to improve accuracy.
- Improved the way message attachments are analyzed.
- Fixed bug that could cause improper analysis of messages from Apple Mail or Eudora, leading to reduced accuracy.
- Improved phish detection.
- Improved the performance of the Apple Mail training commands on Tiger and Jaguar.
- Made some changes to the way spam messages are colored in Apple Mail. Now, the most spammy color (blue) is reserved for messages with scores 99 or higher, i.e. messages that matched a blocklist rule, had encoded HTML parts, or were known to definitely be spam.
- The Show Window command in Apple Mail can now open the SpamSieve help.
- Under certain circumstances, SpamSieve can now detect at launch whether the application package is damaged, rather than too-quietly reporting errors in the log during message processing.
- Improved the troubleshooting documentation.
- Updated the Japanese localization.
- 2.4.1—January 25, 2006
- SpamSieve is now a universal binary.
- Made various changes to SpamSieve’s tokenizer and HTML parser to improve accuracy.
- Improved filtering of messages containing attachments.
- Added Apple Mail settings to control whether messages trained as spam are marked as read and/or left on the server.
- Better at finding notification sounds that are built into mail clients.
- Now shows uncertain growls when notification is suppressed.
- SpamSieve now delegates more file reveal operations to Path Finder 4, since it fixes a bug in Path Finder 3 that prevented certain reveals from working.
- Rather than typing (or copying and pasting) your name and serial number to personalize SpamSieve, you can now click the x-spamsieve:// URL that’s sent to you when you purchase SpamSieve or get a serial number reminder.
- Fixed bug where the rules list would scroll one rule up if it was scrolled to the bottom and you edited a rule.
- Added Spanish localization and updated the Danish, Italian, Swedish, and Vietnamese localizations.
- Improved the installation and troubleshooting documentation.
- Removed spurious Section 4.4.1 of the manual.
- 2.4—November 16, 2005
- Made various changes to the Bayesian engine to improve accuracy.
- Added some heuristics for detecting phishes.
- Apple Mail messages can now be filed into different mailboxes based on how spammy they are (requires 10.3 or 10.4).
- The Apple Mail plug-in is now a Universal Binary, so SpamSieve can be used on Intel-based Macs without running Mail in Rosetta.
- Added support for the new (non-haiku) Habeas headers.
- SpamSieve now plays notification sounds using the alert volume rather than the master volume, and they’ll be played on the same output device as alerts and sound effects. (The old behavior is still in effect when playing classic sound files and when running on Jaguar.)
- Added suppressing notification AppleScript parameter. You can use this to prevent SpamSieve from bouncing its Dock icon or showing Growls when recalculating the spam scores of old messages.
- The Software Update alert is now a sheet, so it won’t interfere with spam filtering.
- If Path Finder is running, it will be used instead of the Finder to reveal files/folders.
- Made various tweaks to keep PowerMates from flashing when they shouldn’t.
- Adjusted the standard set of rules.
- You can now tab back and forth between the search field and table in the corpus and rules windows (requires 10.4).
- Predicted entries in the log now show the message’s sender.
- Added preference to control whether Apple Mail false positives are marked as unread.
- Added Technical Support & Feedback item to the Help menu.
- The Entourage scripts try even harder to avoid creating duplicate categories.
- SpamSieve now avoids loading the address book except when absolutely necessary. Thus, if your address book is corrupted such that loading it would cause a crash, you’ll still be able to receive mail if you turn off SpamSieve’s address book–related features.
- Messages with empty senders are no longer considered to be from people in the address book, even if the address book contains a contact with such an address.
- Fixed longstanding bug in which sorting the blocklist or whitelist by Header or Match Style would group the rules appropriately, but wouldn’t order the groups alphabetically by the localized text in the column.
- Improved the error messages in the application and in the Apple Mail plug-in.
- Made a change to prevent Apple Mail from deadlocking (in rare circumstances) when training SpamSieve on Mac OS X 10.4.3.
- Fixed regression where Trained: (Auto) log entries occurred before the corresponding Predicted ones.
- The Apple Mail training commands now respect the preference for whether to color messages.
- Added hidden preference LogSpam that you can turn on with defaults write com.c-command.SpamSieve LogSpam YES to make SpamSieve keep a maildir-style folder of the spam messages it’s seen. Right now, this is not recommended for general use on slower machines.
- Updated link to Habeas Safelist.
- Updated eSellerate, PCRE, and SQLite libraries.
- Added Danish localization and improved the other localizations.
- Various documentation improvements, including:
- Described how to place Entourage messages in different mailboxes based on how spammy they are.
- Added section describing how to redirect non-spam Apple Mail messages to another account, e.g. to filter the mail that you receive on your Blackberry.
- 2.3.2—August 8, 2005
- Made various improvements to increase SpamSieve’s accuracy.
- Added Quit when mail client quits option.
- Sped up filtering when Growl notifications are enabled. Improved the text/layout of the Growl notifications.
- Re-installing or updating Eudora could have the effect of re-enabling Eudora’s built-in junk plug-ins. This could reduce the filtering accuracy and cause unexpected behavior as multiple plug-ins acted on the same messages. Now, if SpamSieve detects that its Eudora plug-in is installed, it will automatically disable any other Eudora junk plug-ins.
- When you reset the corpus, SpamSieve automatically creates a dated backup so that it’s possible to revert, if need be.
- The pop-up menu for selecting the uncertainty threshold now supports scores as high as 98. This makes it possible to designate all non-blocklisted spam messages as uncertain.
- The S and G indicators are now only shown in the Dock icon after manual training, not auto-training.
- The log is now UTF-8 rather than ASCII, so it should be much more readable for people using localized versions of SpamSieve.
- More errors are now logged.
- Better at finding sound files that are built into Mailsmith.
- Worked around Tiger bug that would cause archived log files to not decompress automatically when opened.
- Fixed regression where SpamSieve could crash if you tried to install the Entourage scripts when Entourage was not installed.
- Fixed bug in Apple Mail’s Train as Good, where it didn’t always move messages out of the Spam mailbox if there were lots of recipients.
- Fixed Entourage Train Good script to not make a new Uncertain Junk category when one already exists (but Entourage says that it doesn’t).
- Worked around AppleScript error that could occur when running Entourage scripts.
- The regex code is more bulletproof in the face of rare OS errors.
- Added better heuristic for determining which files SpamSieve can import addresses from. This should prevent some rare crashes.
- Updated the Habeas link in the Preferences window.
- The history database is more robust on Tiger.
- The Purchase window now makes it more clear when the serial number has been successfully entered. Merged the Web Purchase… and Instant Purchase… buttons.
- Adjusted the way the remaining demo time is displayed, as it led many people to believe that they had less than a month of total trial time.
- Improved training tips and the manual.
- Added French translation of manual. Updated Vietnamese manual. Fixed regression where the Italian and Vietnamese manuals were inaccessible.
- 2.3.1—May 16, 2005
- Works with Apple Mail on Mac OS X 10.4.1. SpamSieve should automatically install a new copy of its Apple Mail plug-in the first time it’s launched, but if it doesn’t you can do so by choosing Install Apple Mail Plug-In from the SpamSieve menu.
- Various accuracy improvements.
- Renamed the Apple Mail training commands to Train as Good and Train as Spam.
- Train as Spam is much faster in Apple Mail on 10.4 when there are multiple messages selected.
- If SpamSieve’s Dock icon is hidden, a new SpamSieve - Open Window command will appear in Apple Mail’s Message menu. This lets you quit SpamSieve or access its windows and settings while its menu bar is hidden.
- Worked around Apple Mail bug so that Train as Good now moves spam messages out of Mail’s Spam folder on 10.4, provided that SpamSieve had put them there.
- Reduced the maximum size of the Growl notification bubbles.
- Better at parsing malformed messages.
- The HTML parser is much faster with certain pathological spam messages that could previously drag parsing out for a minute or more.
- Worked around Entourage bug that could lead to the creation of multiple Uncertain Junk categories.
- SpamSieve no longer complains about the permissions on Apple Mail’s Bundles folder if you’re using a different mail program.
- Removed the Prune Corpus command. With auto-training being much smarter than in earlier versions, it’s almost never advisable to prune, and improper pruning severely reduces accuracy.
- The demo reminder window updates the number of days remaining if you leave SpamSieve running for days or weeks at a time.
- Fixed bug that could cause a crash when using Instant Purchase.
- Worked around crash caused by bug in 10.2.
- Updated localizations.
- 2.3—April 25, 2005
- General
- Works with Mac OS X 10.4 (Tiger).
- Made lots of improvements to SpamSieve’s parsers and tokenizer for better accuracy. To fully take advantage of this, you will need to reset SpamSieve’s corpus and re-train it (e.g. with 300 recent good messages and 600 recent spams). However, this is certainly not required, and I expect that most people will opt for the simpler upgrade of just installing the new SpamSieve application.
- Auto-training works better. SpamSieve is smarter about selecting which incoming messages to train itself with, so that it reaches a high level of accuracy sooner, and it is better at adapting to new types of mail that you receive.
- Improved the training tips and the training section of the manual so that it’s clearer what the best practices are.
- When training the whitelist, SpamSieve will now create rules that match the addresses of the other recipients. This should reduce false positives from people who haven’t previously sent you mail, but who correspond with the same people you do.
- Added Update Address Book “Me” Card command.
- Scriptability
- Added selection AppleScript property, which can be used to get the selected token infos in the corpus or the selected rules in the whitelist or blocklist window. One use of this is demonstrated in a script that adds the addresses of the selected whitelist rules to the Address Book.
- Added AppleScript properties and commands to access SpamSieve’s windows and log. One use of this is demonstrated in a script that lets you open SpamSieve’s windows if its Dock icon is hidden (and thus the menu bar is inaccessible).
- Notification
- Added option to control whether Growl notifications contain excerpts of the message body.
- The new message count in SpamSieve’s Dock icon is now auto-positioned.
- Fixed regression where dragging the slider to adjust the size of the number in the Dock icon didn’t temporarily show the number so that you could preview the results.
- Apple Mail Integration
- Improved accuracy due to better decoding of Apple Mail messages.
- The commands for training SpamSieve from Apple Mail are now in Mail’s Message menu, rather than in the Scripts menu. This lets you access those commands in the same way on 10.2 through 10.4, and you don’t have to worry about changing the scripts around if you boot into a different version of the OS.
- The Apple Mail plug-in is faster at processing messages.
- If the Apple Mail plug-in is installed but disabled for some reason (e.g. a location switch or OS re-install), SpamSieve will automatically re-enable it (takes effect when you relaunch Mail).
- Worked around bug in Mail that could prevent Train Good or Train Spam from working properly when training multiple messages at once that were already in their final destination.
- Eudora Integration
- The installer no longer asks you to find Eudora except when absolutely necessary.
- The Eudora plug-in is now installed in the Application Support folder rather than inside the Eudora application package. Thus, it’s no longer necessary to re-install the plug-in when updating Eudora, although you still may need to disable the SpamWatch and SpamHeaders plug-ins if updating Eudora re-enables them.
- Added a Cancel button to the alert that you get if Eudora is already running when you ask SpamSieve to install the Eudora plug-in, in case you don’t want to quit Eudora at that time.
- Fixes and Tweaks
- The Apple Help is now multiple linked pages, rather than a single page, so you can now use Help Viewer’s search box.
- Simplified the setup instructions in the manual, and added new sections on customization.
- Improved duplicate message detection.
- Fixed bug where e-mail addresses were not always correctly parsed out of mail headers.
- Tweaked the format of Trained entries in the log.
- Worked around OS bug that could cause SpamSieve to freeze when installing AppleScripts.
- SpamSieve is better at following aliases and more tolerant of incorrect permissions when looking for its support files.
- Updated to eSellerate Engine 3.6.1.
- Improved serial number name entry.
- Various localization fixes.
- The ? buttons in the Preferences window now open the specific help sections on Jaguar.
- Fixed longstanding unreported bug where you could launch multiple instances of SpamSieve if you were using Jaguar.
- General
- 2.2.4—February 10, 2005
- Increased the speed of SpamSieve’s message processing.
- Processing messages with Entourage is much faster. To realize the speed increase, re-install SpamSieve’s Entourage scripts and let it replace the existing ones.
- Improved accuracy through better HTML and header processing. (It is not necessary to reset the corpus.)
- Colors to indicate spamminess in Apple Mail are now enabled by default.
- Can now play sounds (and bounce the Dock icon) when mail arrives, even if SpamSieve or a mail program is frontmost.
- Added option to Entourage’s Change Settings to make all spam messages marked with category Junk instead of marking some of them with Uncertain Junk.
- Added more standard blocklist rules for non-Latin character sets.
- AppleScript errors complaining about not being able to find the SpamSieve application should be much less common now. If you do see such an error, asking SpamSieve to re-install the scripts for Apple Mail or Entourage (and letting it replace the existing scripts) should cure things.
- Improved name and serial number entry.
- The Edit Log command is no longer an alternate menu item.
- Can now load Entourage addresses when Launch Services can’t find Entourage.
- The default classifier reports better scores.
- The behavior of the default classifier (if no rules or other classifiers match, and the Bayesian classifier is disabled) may now be changed by setting the DefaultIsGood default. Normally this is YES, but you can set it to NO to make SpamSieve treat all non-whitelisted messages as spam.
- Pruning now is recorded in the log.
- Updated the Russian localization.
- Added Swedish and Vietnamese localizations.
- Expanded and improved the manual.
- The Entourage scripts no longer mark messages with multiple copies of the same category.
- Fixed bug where SpamSieve would sometimes incorrectly think that it had made a mistake (if auto-training was on and the user had asked it to reclassify a message).
- Fixed bug in the Change Settings scripts.
- No longer reports an error when trying to reset an empty initial corpus.
- Fixed crash when quitting after resetting an empty corpus.
- Fixed bug where SpamSieve would crash when reading a damaged corpus file.
- Worked around OS bug that could cause crashes when creating the Uncertain Junk category in Entourage.
- Notification dismissal now works on Tiger.
- Apple Mail’s scripts are now installed in the correct location when running on Tiger.
- 2.2.3—November 15, 2004
- Fixed bug where SpamSieve would complain of a permissions error at startup.
- 2.2.2—November 14, 2004
- Can notify with Growl when good messages arrive, and to help spot false positives without looking through the entire contents of the spam folder.
- Added Change Settings commands for Apple Mail and Entourage, which let you configure script options (spam folder name, behavior when using Train Good and Train Spam, etc.) without having to edit the scripts. The settings are stored in SpamSieve’s preferences file, so they will persist if you update or re-install the scripts.
- Fixed bug where SpamSieve would report a syntax error when processing certain messages (typically in non-ASCII character sets).
- Better accuracy due to improved header and body analysis.
- Better accuracy due to smarter auto-creation of From (name) rules.
- Auto-training now takes scores into account; the corpus is updated using messages that were harder to classify, to forestall errors.
- Better handling of spam messages that lie about their encoding.
- Entourage now uses two separate categories for spam messages, so that you can see which ones are more (or less) spammy.
- Improved accuracy when processing messages in German.
- Any Address rules now match SendTo addresses.
- Better handling of messages with “From ” lines.
- Worked around Mail performance problem where Add Good would hang if there were a lot of recipients.
- The Dock (and DragThing) good message counter no longer increases for messages received while the mail program is active.
- Added Russian localization.
- Improved the French localization.
- Better recovery from damaged Rules and History.db files.
- Added Italian-localized installation instructions.
- Improved launch time.
- Better parsing of PGP messages.
- Worked around 10.2 bug that could cause crashes when the Training Tip window was updated.
- Fixed bad interaction between auto-training and duplicates when the corpus was small.
- More tolerant of incorrect file and folder permissions.
- If Launch Services cannot find the Eudora application, the installer will now try some heuristics and prompt the user to locate Eudora, rather than giving up.
- The Apple Mail and Eudora plug-ins are better at finding and launching the SpamSieve application, and they will notify the user if they are unable to do this.
- Updated to eSellerate 3.5.9, which provides support for registration names using non-ASCII characters.
- When you type in your serial number, SpamSieve normalizes its spacing and case.
- The Add Good and Add Spam AppleScripts have been renamed Train Good and Train Spam. When installing the new scripts, SpamSieve will automatically move the old ones to the trash.
- The Entourage spam folder is now called Junk E-mail instead of Spam, since Entourage 2004 already has a so-named folder.
- 2.2.1—September 20, 2004
- Shows count of new good messages in DragThing 5.3 and later, if you install an integration script. (This script will be built into future versions of DragThing.)
- Fixed accuracy regressions from 2.1.4 and made some accuracy improvements.
- Added Italian localization.
- Auto-training will no longer add duplicate messages to the corpus, because they interfere with undo.
- You can now start a new paragraph in the crash reporter by pressing Return rather than Command-Return.
- Tries to add itself to the Launch Services database at launch, to make it easier for the scripts and plug-ins to find the SpamSieve application.
- Fixed bug where the help buttons in the Preferences window didn’t work unless the main help had previously been opened.
- Improved the French and Japanese localizations.
- The Edit Log command will now open the log using an editor, rather than Console, if BBEdit is unavailable.
- Improved accuracy statistics when using Apple Mail IMAP accounts.
- The mailbox parser is faster and more tolerant of malformed mbox files.
- No longer tries to roll over the log more than once per day.
- Fixed regression where adding to the whitelist or blocklist didn’t work if a disabled rule matched the message.
- Fixed crash that could happen when showing progress bar at launch.
- Fixed crash when scanning System 7–format sounds.
- Fixed bug where slightly spammy Apple Mail messages would be colored and recorded as spam, but not moved to the Spam mailbox.
- 2.2—August 24, 2004
- Accuracy Improvements
- SpamSieve is smarter about what text to tokenize, it extracts more information from messages, it’s better at detecting invisible text, and it can undo more spammer obfuscations.
- The Bayesian classifier can leverage the results of SpamAssassin’s heuristic tests. It also assigns better word probabilities and is better at deciding which parts of the message are important.
- Messages containing Habeas headers are now checked against the Habeas Whitelist. This protects against spam messages that include Habeas headers in order to get through filters.
- Removed the Import Seed Spam command, as it would reduce accuracy with recent versions of SpamSieve.
- General Improvements
- Auto-training is more automatic. There is now a single checkbox to enable auto-training and, if it’s on, SpamSieve will try to do the right thing when it processes new messages. That is, it will train itself using messages of the types that it needs to see more of, and it will prevent the corpus from growing unbalanced or overly large. Also, it will update the whitelist using every incoming good message, so that you can have a complete whitelist without bloating the corpus.
- The rules and corpus windows now have toolbars, and they support iTunes-style filter-searching.
- The corpus and rules are now scriptable, and SpamSieve now supports AppleScript Kit terminology.
- Assorted performance enhancements make SpamSieve faster and improve the responsiveness of its user interface.
- Added Portuguese localization.
- Blocklist and Whitelist
- Rules support more match fields: From (name), Any Recipient, Any Address, Any Character Set, and Any Attachment Name.
- The new Import Addresses… command lets you import blocklist and whitelist rules from text files (e.g. address book exports or mbox files).
- Added default blocklist rules for .pif and .scr attachments and a default whitelist rule for lists.c-command.com.
- Rules can now match the empty string, e.g. when there is a subject header, but the subject is blank. They can also match absent headers by matching against, e.g. <SpamSieve-Unknown-Subject>.
- The Text to Match field now abbreviates using an ellipsis if the text won’t all fit.
- Notification
- Can make a Griffin PowerMate flash when new good messages arrive.
- Now supports System 7–format notification sounds as well as Entourage sound sets. In addition to the Library/Sounds folders, SpamSieve will now look for sounds installed with Apple Mail, Entourage, Mailsmith, and PowerMail.
- Doesn’t play the notification sound if you are using fast user switching and SpamSieve is running in one of the background sessions.
- Notifications that require dismissal (continuous bouncing, PowerMate flashing) are no longer triggered when SpamSieve or the mail program is already frontmost. Thus, you don’t have to deactivate the mail program and then activate it again to dismiss the notification.
- Apple Mail Integration
- Sets the colors of spam messages to reflect how spammy they are, making it easier to skim the Spam mailbox for false positives.
- Protects against Web bugs by telling Mail not to load the images from messages that are classified as spam.
- The Add Good script is better at moving messages from the Spam folder back to the correct inbox, and it will mark them as unread when it does so.
- The Add Good and Add Spam now work with Mac OS X 10.3.5.
- The plug-in will look for SpamSieve in the Applications folder, even if Launch Services is confused and says it can’t find it.
- Entourage Integration
- The Exclude my addresses switch now also applies to the Entourage address book, to reduce the chances of a forged spam getting through.
- Added new scripting verb add entourage addresses. This will allow you to keep the Entourage addresses in sync by using an Entourage shutdown schedule.
- Can automatically add the recipients of the messages you send to the whitelist.
- Sanity-checks addresses that are loaded from Entourage. For instance, if both the name and the address were entered in Entourage’s address field, SpamSieve will now extract just the address, rather than taking Entourage’s word for it.
- The Add Good script now works with the Possible Spam folder and marks false positives as unread.
- Messages can have more than one category, so SpamSieve now adds and removes the Junk category from the message, rather than replacing the category. This means that marking a message as junk doesn’t wipe out other categories on the message.
- Shows a progress bar while importing Entourage addresses.
- Eudora Integration
- Removed the option to use the full Eudora junk score range; this setting is now always in effect.
- Mailsmith Integration
- Can automatically add the recipients of the messages you send to the whitelist.
- PowerMail Integration
- Can automatically add the recipients of the messages you send to the whitelist.
- Statistics and Log
- The Statistics window shows the number of blocklist and whitelist rules and the number of spam messages received per day. The date sheet has a Now button that enters the current date and time.
- The log is now stored in ~/Library/Logs/SpamSieve. The Open Log command now opens the log in Console, so that it’s easier to monitor as it changes. To get the old behavior of opening the log in a text editor, hold down Option and choose Edit Log.
- If the log file grows larger than 5 MB, SpamSieve compresses it, archives it by date, and starts a new log.
- When SpamSieve makes a mistake, the log records which classifier made the error and what the message’s score was. The log also now records parse errors and the number of messages in the corpus.
- Fixes and Tweaks
- SpamSieve can optionally show an alternate, more photo-realistic, icon in the Dock.
- There is a new mailing list for discussion of SpamSieve.
- Each tab of the Preferences window now contains a help button that will open the corresponding section of the Apple help.
- Updated to PCRE 4.5 and SQLite 2.8.15.
- Fixed bug where SpamSieve could crash when generating a message’s identifier if a system routine failed.
- Fixed bug in EDMessage that could cause crashes when decoding certain quoted-printable messages.
- Better handling of 8-bit subjects with no specified encoding.
- Worked around Panther bug that could cause crashes or drawing artifacts on the desktop by no longer trying to draw on the Dock icon when it’s hidden.
- Worked around OS bug that prevented certain notification sounds from playing.
- Fixed bug where the selection was not always preserved when editing blocklist and whitelist rules.
- The Show Corpus, Show Statistics, and Preferences… commands in the Dock menu now bring SpamSieve to the front.
- The progress window when exporting the corpus sometimes lagged a bit before closing automatically.
- Fixed bug where SpamSieve would get confused if you entered the empty string as a date.
- Accuracy Improvements
- 2.1.4—April 15, 2004
- Fixed bug where SpamSieve could crash when installing the Eudora plug-in if you were using Eudora 6.0.x.
- Fixed regression where SpamSieve couldn’t process certain messages, resulting in a script error and reduced accuracy.
- Added French localization.
- Updated AOL instructions, since AOL now supports IMAP.
- 2.1.3—April 13, 2004
- Added menu commands for installing the Apple Mail plug-in and scripts, the Eudora plug-in, and the Entourage scripts. These items are now stored inside the SpamSieve application package.
- Scripts for the other applications are now stored inside the application bundle, not at the root of the disk image. The Show Other Scripts menu command will reveal them in the Finder.
- Apple Mail and Eudora users should update their plug-ins, using the commands in the SpamSieve menu.
- Added the score script command, which returns an integer between 0 and 100 indicating how spammy the message is. 50 and higher mean spam.
- The Predicted lines in SpamSieve’s log now show the scores of the messages.
- Can now use Eudora’s full 0-to-100 junk score range if you check the appropriate box in the Advanced preferences.
- Improved parsing of messages with 8-bit transfer data.
- Faster at processing messages.
- Added support for Outlook Express 5.
- Worked around OS bug that could cause SpamSieve to come to the front each time a message was processed in Apple Mail or Eudora (usually if an X11 application was frontmost).
- Fixed bug where errors encountered while processing messages were not reported in the log.
- Worked around Cocoa problem where certain notification sounds wouldn’t play.
- Made the Purchase window easier to understand, and added a button for looking up lost serial numbers.
- Trims the text in the serial number field so people don’t accidentally paste the number in twice.
- Software updater is better at checking whether the computer can connect to the Internet.
- SpamSieve now tries to parse Eudora messages according to RFC822, even though this will sometimes fail, as many Eudora messages are not RFC822-compliant.
- Adjusted the list of headers that SpamSieve ignores.
- Added keyboard shortcuts for Apple Mail scripts.
- Improved the training tips.
- Updated to SQLite 2.8.13.
- Updated to eSellerate SDK 3.5.5.
- The Send Report button in the crash reporter is no longer a default button, so there’s no longer confusion about entering returns in the comment field.
- No longer prints fragments of spam messages to the console when it gets confused.
- Replaced the copy of the manual outside the app with a read-me.
- 2.1.2—January 26, 2004
- SpamSieve can now move Apple Mail POP messages to the Spam folder. Thus, it now fully supports Apple Mail on Jaguar and Panther.
- Honor Habeas headers is now off by default.
- Fixed regression where blocklist and whitelist rules got deselected after editing their text.
- When loading addresses from Entourage, SpamSieve now picks up addresses that are not associated with any contact (that is, they appear only in a group).
- The default date shown in the Statistics window is now the date that SpamSieve was first launched, rather than September 2002.
- The Apple Mail Add Good script is better at finding the proper inbox when moving false positives out of the Spam folder.
- The Apple Mail Mark If Spam script can mark the spam messages as read.
- The Purchase window now makes it more clear when a serial number has been accepted.
- In the Statistics window, Set… is now Set Date… and Copy is now Copy Stats.
- Fixed crash that could happen when processing messages in Japanese encodings.
- Added Japanese localization.
- 2.1.1—January 8, 2004
- Much faster at processing messages when there are many blocklist and whitelist rules. Also improved the speed of loading, deleting, and sorting rules.
- Improved accuracy tracking with the Panther version of Apple Mail; previously, SpamSieve couldn’t always tell when it was being corrected.
- Catches more spam because it knows about more spammer obfuscation tricks and also which headers it should ignore.
- Fixed bug (introduced in 2.0) where the Bayesian engine didn’t work if Mac OS X’s default language was set to Japanese.
- The SpamSieve Eudora Plug-In is better at launching the SpamSieve application if it is not already running.
- Loading Entourage addresses now adds to the addresses that were previously loaded, rather than replacing them. This makes it possible for Entourage users who have more than one Entourage identity to give SpamSieve the addresses from all their address books (by loading once for each identity). Hold down Option when clicking Load to get the old behavior of replacing the previously loaded addresses.
- The sound pop-up menu in the Preferences window now immediately notices when new sounds are installed; previously, it would only check when updating the rest of the preferences window.
- You can now add a rule without a the Blocklist or Whitelist window being frontmost. SpamSieve will ask which type of rule to add.
- Regex rules can now start with an options modifier such as (?-i).
- Copying rules to the clipboard now just copies the text to match (typically an e-mail address), not all the columns. To get all the columns, you can print to PDF.
- The Entourage Add Good script now finds localized inboxes, rather than creating a folder called Inbox.
- The Entourage Add Spam script can now remove spam messages from the server.
- The Statistics window now shows percentages instead of ratios.
- SpamSieve will now quit at launch if another copy of the application is already running.
- Re-targeted broken Habeas URL.
- Added the following menu commands: Close All Windows, Minimize All Windows, and Zoom.
- 2.1—December 9, 2003
- 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 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.
- 2.0.2—October 1, 2003
- Now works with Apple Mail (IMAP and .Mac only, not POP).
- The message count in the Dock icon now resets when an e-mail client becomes active (rather than just when SpamSieve became active). You can also control the size and position of the number in the Dock icon.
- Much faster at deleting lots of rules at once.
- Replaced the message store database with custom code that’s faster and more reliable.
- Improved accuracy for HTML messages containing links.
- Importing mbox files is faster.
- Fixed bug where you couldn’t use Web registration after the demo period had expired.
- The log records which addresses matched the whitelist or blocklist.
- The log records corpus imports.
- Auto-training is faster.
- The Entourage Add Spam script can close the frontmost window if it’s spam.
- Fixed bug where the date in the Statistics window could get cut off if you changed it to use a more verbose format.
- Worked around OS bug that caused dates like “01.09.2003” to be interpreted as January 9 in German-style locales.
- Added Copy button to the Statistics window.
- Fixed problem updating certain history databases from 1.3.1.
- More resilient to minor corpus file corruption.
- Fixed crash that could happen with improperly formed multi-part messages.
- Shows the number of blocklist or whitelist rules in the title bar.
- The whitelist now contains some c-command.com addresses by default.
- Fixed crash when opening the Statistics window while adding messages.
- The Statistics window shows ratios, where applicable.
- Assorted minor performance improvements.
- The modification dates of the AppleScripts are now the actual modification dates, not the date the distribution was built.
- 2.0.1—September 17, 2003
- Replaced the database engine that was being used to store the corpus with some custom code. This should be much faster and more reliable.
- Loading and saving the rules is faster, due to a better file format.
- The rules and corpus message counts are now saved to disk during idle time rather than when quitting. This should prevent data loss in the event that SpamSieve doesn’t quit normally.
- The whitelist and blocklist are more memory-efficient.
- Plugged memory leak in EDMessage.
- Fixed crash involving certain really long header lines.
- Fixed bug where the Whitelist and Blocklist windows weren’t always up to date.
- Table views are smarter about not scrolling unnecessarily to maintain their selections.
- The Whitelist and Blocklist windows now secondary sort by sender.
- Changes to the preferences are saved to disk immediately.
- Fixed bug where tables saved their sorted columns but didn’t restore them.
- When SpamSieve gets a fatal error, it now quits like it says it will.
- 2.0—September 10, 2003
- SpamSieve now extracts a lot more information from each message. This makes it much more accurate and also makes it learn faster.
- Now integrates with Eudora 6 (Sponsored or Paid) via a plug-in. It can now process every incoming Eudora message and can be trained using the Junk and Not Junk commands in Eudora’s Message menu.
- SpamSieve now has a blocklist and a whitelist. These are automatically maintained based on the senders of messages that SpamSieve is trained with. The blocklist makes sure that all messages from known spammers are caught and speeds processing for these messages. The whitelist lets you be sure that certain messages will never be marked as spam; this was possible before, but now you don’t have to clutter your address book with addresses from online retailers, etc.
- You can now control how conservative or aggressive SpamSieve is at catching spam.
- SpamSieve can now play a sound or bounce its Dock icon after a batch of non-spam messages has arrived. This is meant to replace your e-mail client’s new mail notification, which you don’t want going off if all the new messages are spam.
- Shows the number of new good messages in the Dock icon.
- Now parses HTML so that it can better extract relevant information from HTML messages, and also handle various HTML-based tricks that spammers use to fool filters.
- New method of calculating word probabilities makes SpamSieve better at discerning which words in the message are important.
- Includes a corpus of seed spam, to jump-start spam recognition for users who do not have many saved spam messages.
- The corpus is now stored in databases rather than in a property list. This makes it launch faster and use much less memory, as the corpus doesn’t have to be all in RAM at the same time.
- The statistics file format (for History.db) has changed in order to enable performance improvements and more statistical displays in future versions.
- Handles more types of plain text obfuscations, and is much faster at undoing them.
- Added option for the address book whitelist to only use other people’s addresses, so that spam messages from your own address don’t match the whitelist.
- Can mark all messages with Habeas headers as good.
- Can mark all messages with some variant of “ADV” at the start of the subject as spam.
- Can mark all base64-encoded HTML messages as spam.
- New probability combiner increases accuracy.
- Uses stop words to speed processing and reduce false negatives.
- When filtering a message, considers the number of occurrences of the words, not just which words are present.
- Can import messages from mbox files.
- Can import the corpus from and export it to an XML property list (the same format used by 1.x).
- SpamSieve can now check for updated versions of itself.
- Added crash reporter.
- Added Dock menu containing frequently used commands.
- The entries in the log are more detailed.
- The corpus now stores the date at which each word was last accessed.
- Fixed bug where storing statistics would fail on systems that didn’t know about GMT.
- Fixed bug where SpamSieve could throw away long runs of HTML thinking they were attachments.
- Added button for opening the Mac OS X Address Book from inside SpamSieve.
- The Statistics window now has a contextual menu item for copying the displayed information.
- SpamSieve no longer wastes cycles updating the Statistics window after it’s been closed.
- The Statistics window is smarter about updating only the portions that could have changed.
- No longer shows Good Words and Spam Words stats.
- Logging has less overhead.
- Updates the history asynchronously, resulting in faster message processing.
- Checks for mistakes in a background thread.
- False negatives are now written to disk in a background thread.
- Re-arranged the Corpus window.
- Pruning the corpus now works by access date rather than by word counts. Of course, you can manually prune the old way by sorting the Corpus window by Total.
- Updated to SQLite 2.8.6 and tuned it for speed.
- Updated to PCRE 4.3.
- Updated to eSellerate 3.5, which should fix crashes some people saw after registering on 10.2.6.
- Now looks at headers of subparts of messages from Mailsmith.
- Time-consuming operations now either have a progress bar or a progress spinner.
- Better at extracting malformed e-mail addresses from headers.
- Copying rows from the Corpus window to the clipboard now uses the order of the columns in the window rather than the default column order.
- Fixed regression where the Entourage scripts no longer created the Spam folder if it didn’t exist.
- Fixed potential crash with regex replacements at the end of a string.
- The history and the corpus files can now be aliases.
- Automatically trims carriage returns and other illegal characters when you paste in your name and serial number.
- Now saves the name and serial number to disk as soon as they’re entered.
- The Spam folder in Entourage no longer has to be top-level.
- Entourage can mark good messages as unread.
- Type-selecting in table views is quicker.
- No longer nags constantly when unregistered.
- Fixed bug where it could look as though SpamSieve had hung if it started up in the background with an empty corpus.
- 1.3.1—June 18, 2003
- Added direct integration with Mailsmith 2.0 and later. Enabling SpamSieve is as easy as clicking a checkbox. You can train SpamSieve directly from Mailsmith’s Message menu. Bare Bones Software has seamlessly integrated it with Mailsmith’s powerful filtering system, and Mailsmith knows not to bounce its Dock icon after receiving a batch of messages that are all spam.
- Fixed crashing bug triggered by incorrectly encoded headers.
- Regex substitutions are faster and much more memory efficient.
- When adding spam messages to the corpus, the default is now for SpamSieve to move them to the Spam folder.
- The PowerMail Move If Spam script now changes the color of spam messages.
- The Emailer scripts now pass text and HTML attachments on to SpamSieve for analysis.
- Added instructions for using the Entourage and PowerMail address books as whitelists.
- Compacted the ED frameworks to reduce application size and memory use.
- Disabled SQLite’s file locking so that SpamSieve’s data folder can now be located on an AppleShare volume.
- Caches the Address Book to speed whitelist lookups 100 fold.
- The statistics database is faster due to an updated version of SQLite.
- Fixed bad pointer in header extractor that caused unnecessary fallbacks to the secondary parser (reducing accuracy).
- Added experimental support for moving Entourage messages on IMAP accounts to the (local) Spam folder. This can be enabled by editing the scripts with Script Editor.
- For clarity, the names of AppleScripts that ask SpamSieve to predict the category of a message now contain the word “if.”
- Added lots of minor clarifications to the documentation.
- 1.3—February 11, 2003
- More resilient to spammers’ tricks for obfuscating words.
- Can use e-mail addresses in the system Address Book as a whitelist. Messages sent from those addresses will never be marked as spam.
- Greatly reduced overall memory usage as well as launch and quit times.
- Can save false negatives to disk for later reporting to SpamSieve’s developer.
- You can edit the spam and good counts associated with a word, remove selected words from the corpus, and reset the corpus entirely.
- Type-ahead navigation in the Corpus window. Type the first few letters of a word or number to select it (and scroll to it).
- You can hide statistics from before a set date, to better see the current accuracy and spam reception rate.
- Improvements to the Corpus window: Shows all words rather than only those considered statistically significant. Re-sorting by numeric columns is twice as fast. You can copy the selected rows to the clipboard or drag them to another application. The selection is preserved when you change the sort column, you can sort in descending order, and the sorted column is remembered between launches. The Home and End keys work.
- The Prune Corpus command now tells you how many words it would remove and asks for confirmation.
- The statistics tracking is smarter about handling duplicate messages.
- The statistics have tooltips explaining what they mean, and you can copy all of the statistics to the clipboard at once.
- Improved accuracy tracking of PowerMail and Emailer messages.
- Eudora Integration: Can mark spam messages as read and/or mark them for removal from the server.
- Expanded the AppleScript dictionary, to enable better integration with mail and news clients.
- Entourage Integration: Creates Junk category if there isn’t one, and can mark spam messages as read.
- Mailsmith Integration: The adding scripts now set the appropriate message properties.
- Better parsing of messages with illegal characters in the headers.
- SpamSieve’s Info.plist file contains an LSUIElement entry. Change the 0 to a 1 to hide the application’s Dock icon. (You’ll need to change it back to access the preferences.)
- The message count display has moved from the Corpus window to the Statistics window.
- Better error message when the corpus couldn’t be saved.
- Added tooltips to preferences.
- The registration window gives better feedback when you personalize.
- Better recovery from errors in the corpus file.
- The secondary parser is better at handling DOS linebreaks.
- 1.2.2—November 20, 2002
- Fixed bug in the PowerMail Add Good script.
- Added uninstaller for Eudora users.
- Better handling of errors while adding messages to the corpus.
- Removed bloat from the Entourage Mark Spam script.
- The application icon now has an alpha channel, so it doesn’t appear with a white halo when viewed on a colored background.
- Minor changes to the manual.
- 1.2.1—November 18, 2002
- Modified Info.plist to work around a bug in Mac OS X 10.1 that could cause the Finder to crash when launching SpamSieve.
- 1.2—November 18, 2002
- Added support for Emailer 2.0v3 and Eudora (5.2 and later).
- Decodes base64 and quoted-printable text parts, thus finding words that spammers try to hide from anti-spam software.
- Decodes subjects that use different character sets (e.g. big5).
- Adds special tokens for MIME entities such as part boundaries and uninterpretable message parts.
- Keeps track of the messages added to the corpus, and can optionally prevent you from adding the same message more than once (biasing the counts). Thus, you no longer have to remember which messages you’ve already added.
- You can now “undo” adds to the corpus, e.g. if you added a message as good when you meant to add it as spam.
- Can now add messages to the corpus as they are filtered, so after the initial training you only have to add messages when SpamSieve makes a mistake.
- When filtering a message, SpamSieve can optionally check whether the message is in the corpus. If it is, SpamSieve looks up the answer rather than trying to predict. One use of this feature is that if SpamSieve makes a mistake, you can Add Spam and then Label/Move If Spam and be sure that the message will be labeled/moved.
- Keeps a log of additions to the corpus, filtering results, and errors.
- Mailsmith: If SpamSieve thinks a message is spam, it sets the deleted property of the message to true; otherwise it sets the flagged property of the message to true. Therefore, if SpamSieve has classified the message then exactly one of the properties will be true, and if it hasn’t they’ll both be false. (Normally, neither of these message properties is used by Mailsmith itself.)
- Entourage and PowerMail: If you tell SpamSieve to move spam messages to a spam folder and the spam folder doesn’t exist, the script will create the spam folder for you.
- When you add spam messages to the corpus, can optionally move them to a Spam folder.
- Added status indicators in the Dock icon (like Norton DiskLight).
- The spam probability of unknown words is now 0.4 instead of 0.2.
- The Corpus window uses less memory and sorts much faster.
- Accuracy tracking is faster and uses less memory and disk space.
- Fixed bug where accuracy tracking didn’t work for some Mailsmith messages with multiple parts.
- Improved the manual’s instructions for e-mail client integration.
- Compiled with GCC 3 for greater speed.
- Uses the latest version of the eSellerate SDK, which eliminates a crash at startup under certain circumstances.
- No longer shows the “Upgrading From 1.0” message when starting with a blank corpus.
- 1.1—September 19, 2002
- E-Mail Client Integration
- Added support for PowerMail.
- Added instructions and an AppleScript for making Mailsmith download and filter mail faster.
- Added an AppleScript for Entourage that moves spam into a Junk folder.
- Performance
- Launches about 60% faster than 1.0.
- You can now prune the corpus to remove words that are taking up memory without contributing to spam recognition. This can also dramatically decrease SpamSieve’s launch time.
- Recalculating spam probabilities is about 10% faster and uses less memory.
- Quitting is faster because SpamSieve now writes corpus changes to disk during idle time.
- Saving the corpus is slightly faster.
- Displays statistics about the number of messages filtered, SpamSieve’s accuracy, and the types of words in the corpus.
- SpamAssassin’s X-Spam-Status headers are now treated as single words. This means that if SpamAssassin is running on your mail server, SpamSieve will learn to respect (or ignore) its judgment.
- Does a better job of ignoring e-mail attachments, thus reducing corpus bloat.
- Installs the eSellerate Engine if it’s not present, thus enabling “Instant Registration” for more users.
- Asking SpamSieve to categorize a message now forces an update of all the word probabilities. Previously, the update only happened during idle time.
- Highlights the sorted column in the Corpus window. The columns themselves have shorter names. There’s a new “Total” column. Auto-resizing of the columns works better. You can now manually resize any column, and manual resizings and reorderings are saved between launches.
- Shows fatal errors as alert panels rather than just printing them on the console.
- The Corpus.plist data file is now sorted by word. This makes it easier to examine the corpus manually, and to compare it to other users’ corpora.
- E-Mail Client Integration
- 1.0—September 10, 2002
- First public release.