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Help us by reporting it. Multiple accounts simultaneously accessing a server which requires cacert-full. Certain emails may load slow the first time e. If desired, you can set up keyboard shortcuts on any non-drone Macs for moving messages into the Train mailboxes. Then drag the TrainGood and TrainSpam mailboxes to the favorites bar. Outlook currently does not work with the drone setup because it does not support schedules. Make sure that each of your accounts has its own Junk E-mail mailbox. If you have a single mail account, follow the normal SpamSieve setup procedure in the Setting Up Outlook section.
If you have multiple accounts, create two SpamSieve - Move Messages rules per account. It should say:. Download the Outlook - Remote Training script file. Open it in Script Editor and add your account name s at the top. The When should be Repeating Schedule with a duration of your choice.
The Action should be Rule AppleScript. Click the Script… button and choose the Outlook - Remote Training. 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.
It is possible to add support for additional programs simply by writing some AppleScripts or Apple event code. If you would like to connect an application to SpamSieve, please contact spamsieve c-command. Change the New messages sound to None so that Apple Mail does not play a sound when spam messages arrive. Change New message notifications to Inbox Only or to a custom smart mailbox that excludes your Spam mailbox. This will prevent Mail from notifying you when you receive new spam messages. SpamSieve will notify you only when you receive new good messages. Tell Mail and SpamSieve about your account aliases, as described in the Why do good messages move to the wrong inbox when trained in Apple Mail?
Sometimes Mail rules will not move messages that were processed immediately after the Mac woke from sleep. If this happens, you will end up with spam messages that are marked as spam but not moved from the inbox to the Spam mailbox. You can work around this problem by quitting Mail before sleeping your Mac or by changing the Energy Saver settings so that your Mac will not to go to sleep automatically. The issue described below for macOS To speed up the training, you can enable the workarounds by using these special esoteric preferences links:. Click this link to enable the workaround for making SpamSieve - Train as Good faster.
SpamSieve it will ask you to add your inbox as a favorite in Mail. Click this link to disable the workaround. There is a known issue where Apple Mail on macOS You can enable one or both workarounds by using these special esoteric preferences links:. To add it manually, you can:. In rare cases, SpamSieve may report that SpamSieveHelper is not checked in the Accessibility preferences, even though it actually is. You can reset the database by entering this command in Terminal:.
Instead of using the Message menu commands to train messages, you would move the messages into the special TrainGood and TrainSpam mailboxes. This will prevent Mail from having to download the same content multiple times. This will prevent you from accidentally adding spammy addresses to your address book, which would cause SpamSieve to think that messages sent from those addresses were not spam. To change the shortcut:. You can change the keyboard shortcuts:. SpamSieve sets the colors of spam messages to reflect how spammy it thinks they are. The order, from most to least spammy, is: Good messages are left uncolored.
Thus, if you are skimming the Spam mailbox for false positives, pay the most attention to the yellow and orange messages. The SpamSieve - Change Settings command lets you enable or disable spam message coloring. Spam messages caught by a server junk filter are not processed by SpamSieve and, thus, not colored. The Setting Up Apple Mail section of the manual shows how to create a single rule in Mail that puts all the spam messages in a single Spam mailbox. You can also use multiple rules in Mail to file messages into different mailboxes or otherwise process them differently based on how spammy they are.
The normal SpamSieve rule looks like this:. 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 Every Message. 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:. To move blocklisted messages to the trash and other spam messages to the Spam mailbox, you would need three rules:. The unnumbered Spam mailbox will hold the messages that you manually train as spam.
If desired, you can drag the other mailboxes inside the Spam mailbox. You can sort the messages by spamminess. Thus, you can set up rules like this:. The flag colors are chosen so that the messages will sort in order of spamminess; this is why they do not match the message colors. Currently, there is a bug Radar in macOS You can put a space at the beginning of the mailbox name so that it sorts to the top of the list. Mailboxes can also be dragged and dropped to reorder them in Apple Mail, although this does not affect the order on other devices the way renaming does.
Some people like to enter Deleted Messages in Step 2 so that messages trained as spam are moved directly to the trash. This is safe because you know for sure that those messages are spam. Incoming spam messages can still go to the Spam mailbox selected in Step 1 so that you can review them. It is also possible to select the trash in Step 1 so that incoming spam messages go directly to the trash. However, if you do this, make sure that you periodically check to make sure there are no good messages in the trash.
Click OK. If you are using Gmail, there is already a Spam mailbox on the server. You can use this one instead of creating a new mailbox. Select the server mailbox that you want to use. You can optionally use a separate mailbox for each account. To do this, create one Spam mailbox per account, and then one rule per account, as described in Separate Spam Mailboxes for Each Account. Enter the name of the mailbox created in Step 1. Now both the incoming and trained spam messages will go to the Spam mailbox on the server.
Normally, SpamSieve puts incoming spam messages in the Spam mailbox, and it colors them according to how spammy they are. When all the messages in a mailbox are marked as read, Apple Mail will stop showing a number next to the mailbox. SpamSieve normally 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. 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. SpamSieve normally filters all of the accounts set up in Apple Mail.
If you want to exclude certain accounts from filtering, you can edit the SpamSieve rule to list only the accounts that you do want filtered:. When traveling, especially with a mobile device, you might want to avoid downloading spam messages from the server. If your mobile device only supports POP, 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. Then change the action from Move Message to Redirect Message and enter the e-mail address of the account that you check when traveling. Finally, drag your newly created rule so that it is just below the SpamSieve rule. As described in the How should I configure the junk filter on my mail server? If you choose not to do this you may end up in a situation where server filters are putting spam messages in one or more Junk mailboxes, while SpamSieve puts messages in the Spam mailbox.
This is especially useful if you are using a mail host, such as iCloud , whose junk filter cannot be turned off. You should pick just one of the lettered strategies below. Some users like having separate Junk and Spam mailboxes. If this is what you want, just be sure to check both locations for false positives, so that no good messages get stuck there. Only good messages in the Spam mailbox need to be trained as good because good messages in the Junk mailbox are not SpamSieve mistakes.
You can create a smart mailbox to show the contents of all the mailboxes in one place. For example, it might look like this:. You will still have the separate actual mailboxes, but you will be able to review all of your spam at once in the smart mailbox. You may not be able to change where your server filters put spam messages, but you can change what SpamSieve does. The messages will still be stored under their respective accounts, but there will be less visual clutter. The above methods put all your spam in one place, but they have the disadvantage that the server filter may mistakenly put good messages in the Junk mailbox.
To consolidate your spam and have SpamSieve save you from this type of server mistake:. Whenever the script runs, it will tell SpamSieve to examine the messages in the Junk mailbox, moving the spam messages to the Spam mailbox and the good messages to the inbox. You can optionally set it to mark the spam messages as read. In order for SpamSieve to filter your mail quickly, your Mac needs to be awake with the mail program running. Otherwise, there will be delays for iPhone spam filtering and the drone setup. This is to prevent the spam from filling up your mail account and also so that all your spam is consolidated into a single mailbox for easy review and deletion.
With the default Gmail settings, when a message is moved to a local mailbox, Gmail archives the message. Combined with the above, this means that the spam messages that SpamSieve catches will go into your Gmail archive All Mail. There are two ways to prevent this:. Use a Spam mailbox on the server. For example, have SpamSieve put the spam it catches into the special Junk mailbox on the Gmail server.
Tell Gmail not to archive messages that are deleted via IMAP which includes messages moved to local mailboxes on your Mac:. Select Auto-Expunge off and Immediately delete the message forever. It is also possible to separate the messages by category. To turn off the uncertain spam feature, so that all spam messages are marked using the Junk category, use the SpamSieve - Change Settings command.
Normally, SpamSieve puts the spam messages from all your Outlook accounts into a single folder called Junk E-mail. If you want to have a separate spam folder for each account, first create the requisite empty folders. Then, instead of the single SpamSieve - Move Messages rule described in the Setting Up Outlook section, create two rules per account. Questions about SpamSieve may be sent to spamsieve c-command. To make sure that you have the latest version of SpamSieve, you can use the Software Update… command. 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 Check for updates automatically checkbox. Click Download to have SpamSieve download the. For more information, please see Updating From a Previous Version.
You can hold down the Option key when you click Check Now to make SpamSieve always download the latest version, even if your version is already up-to-date. This is an easy way to download and re-install a fresh copy of SpamSieve if your copy is damaged. To check for a new version, SpamSieve contacts a Web server at c-command. SpamSieve transmits the following information to the server: This information is used to guide future development. No personal information is transmitted.
When you launch SpamSieve for the first time, the Purchase window will automatically open. You can also open it by choosing Purchase… from the SpamSieve menu. SpamSieve has a free trial. During the trial period, SpamSieve is fully functional; the only difference in behavior is that it will periodically remind you that you are using the trial.
To use SpamSieve in trial mode, you can simply close the Purchase window. The trial period lasts for 30 days. To use SpamSieve beyond the trial period, you must purchase it. This entitles you to free updates and support. Click the Purchase Online button to enter the online store. Enter the name and serial number from the e-mail into the Purchase window and click Personalize. 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. This means that you can use it on your desktop Mac and your laptop, or you and your family can use it in separate user accounts on a shared Mac.
If there are multiple users on multiple Macs, you should purchase multiple licenses. Discounts for packs of 2, 10, and 50 licenses are available above. A family all living in the same household can share a 2-user license. If you already have a single license, you can upgrade to a family license. To do this, e-mail your old order number to sales c-command. All maintenance releases 1. We have a track record of many such updates, and they have included significant new features. Major upgrades 2. If you purchased longer ago than that, you get a discount.
The upgrade discounts are only available if you originally purchased direct from C-Command, since the Mac App Store does not support upgrades. The Purchase… menu command is not present if you purchased via the Mac App Store. In that case, there is no trial period, and licensing is based on your iTunes account rather than the number of people or computers. It can be purchased direct from C-Command. 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. For more information, see the Setting Up Entourage section of the manual. This command installs or updates the AppleScript files that SpamSieve uses to integrate with Outlook. This command also makes sure that you have an Outlook category called Uncertain Junk. For more information, see the Setting Up Outlook section of the manual. These can be installed by dragging them into the proper locations.
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. 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. This command will prompt you to remove any SpamSieve Mail rules, then uninstall the SpamSieve plug-in and launch agent. The SpamSieve application and training data files will remain. SpamSieve will then quit Mail itself so that the plug-in code is unloaded.
For more information, see the Uninstalling SpamSieve section. If you no longer want to use SpamSieve with Mail e. This will prevent SpamSieve from reminding you to enable the Mail plug-in. 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. Rules in the opposite list are not affected. This feature is usually not needed, as SpamSieve will automatically create whitelist and blocklist rules based on the messages that you receive.
Many file formats are supported: 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.
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. This imports the words in a corpus that was exported in XML format.
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This is the same format used by SpamSieve 1. 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. This exports the active corpus to XML format. You might do this in order to import the corpus on another machine. The corpus is a collection of messages, both spam and good, with which you have trained SpamSieve. 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:. 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. This command removes all the words and messages from the corpus. It does not change the whitelist or blocklist.
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After resetting the corpus, you can retrain SpamSieve from scratch, and SpamSieve will let you use your old messages in the retraining. 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:. This command opens the Statistics window, which displays the following information:. 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.
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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. You should check to make sure that the mail program setup is correct. The Open Log command in the Filter menu 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 a log entry that says Predicted: Good or Predicted: Here are some questions that these entries can help you answer:.
These log entries represent messages that you had trained as good or spam using the menu commands in your mail program. These log entries represent messages that SpamSieve auto-trained. This will add the sender to the whitelist to ensure that future messages from that sender get through to your inbox. If you later train the message as spam, SpamSieve will disable uncheck the whitelist rule. Thus, auto-training should not ordinarily cause problems unless you receive a large flurry of messages from the same sender address, or if you forget to train the message as spam and then the address remains enabled on the whitelist.
For more information, see the Auto-train with incoming mail section. You may also find it easier to search by using the Edit Log command. If you find that the logs are taking up too much disk space, you can delete the. The Sending in the SpamSieve Log File section describes how you can e-mail your log file to spamsieve c-command. 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. The Show Blocklist command in the Filter menu opens the Blocklist window. The blocklist consists of a list of rules. If a message matches one or more enabled rules on the blocklist and Use SpamSieve blocklist is checked , SpamSieve will predict that it is spam. As always, SpamSieve does not prevent you from receiving the spam messages; rather, the blocklist ensures that they will go to the spam mailbox rather than the inbox. You can also configure Apple Mail so that the blocklisted messages go directly to the trash.
The counterpart to the blocklist is the whitelist. There is normally no need for you to manually create or delete blocklist rules because SpamSieve learns to recognize your spam automatically. If a lot of spam is in your inbox, your first step should be to follow the instructions in Why is SpamSieve not catching my spam? By default, the Train SpamSieve blocklist preference is enabled. This means that SpamSieve will automatically create blocklist rules when you train a message as spam. SpamSieve will also disable uncheck matching blocklist rules when you train a message as good.
This prevents a bad blocklist rule from blocking similar good messages. For more information about the available options see the Rule Columns, Headers, and Match Styles section. You can delete a rule from the blocklist by selecting it and pressing Delete. Generally, there is little reason to delete rules. SpamSieve is optimized such that having lots of rules does not reduce performance.
For example, say that you get forged spam messages from your own address. This will enable future such spam messages to be caught. 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 would prevent those spam messages from being caught. You can tell SpamSieve to classify every message from a particular domain as spam. You can also create rules for particular countries. For example, to block every message from an e-mail address in Nigeria, create a rule that says From address Ends With.
If you cannot configure your server in that way, you can use the Matches Regex match style to create a blocklist rule that matches messages sent to invalid addresses at your domain. For example, this regex:. If this is checked, the rule is enabled. See Rules and Training. The number of god or spam messages that the rule blocked, a rough measure of how effective it is. The following are the message parts that may be used in the Header column:. The e-mail addresses of the primary recipients of the message.
SpamSieve checks each recipient separately to see whether it matches the rule. The e-mail addresses of the carbon copy recipients of the message. 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. For mailing list messages, this hidden header indicates which mailing list the message was sent to. For mailing list messages, this hidden header indicates how to unsubscribe from the mailing list. The Received headers contain information about the servers that relayed the message on its journey from the sender to the recipient.
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 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.
Many spam messages contain attachments whose names end with. SpamSieve ships with some blocklist rules pre-configured to catch messages containing spammy attachments. In all cases, capitalization does not matter; lowercase letters are considered the same as their uppercase counterparts. 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. 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. 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: 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.
The Show Whitelist command in the Filter menu opens the Whitelist window. The whitelist consists of a list of rules. If a message matches one or more enabled rules on the whitelist and Use SpamSieve whitelist is checked , SpamSieve will predict that it is good. The whitelist is most commonly used for matching messages sent from particular addresses, domains, or mailing lists. The counterpart to the whitelist is the blocklist.
There is normally no need for you to manually create or delete whitelist rules because SpamSieve learns to recognize your good automatically. If a lot of good messages are in your Spam mailbox, your first steps should be to check the setup in your mail program and to check the log rather that to create whitelist rules.
By default, the Train SpamSieve whitelist preference is enabled. This means that SpamSieve will automatically create whitelist rules when you train a message as good. Once you receive one good message from a person, all future messages will get through to your inbox.
SpamSieve will also disable matching whitelist rules when you train a message as spam. This prevents a bad whitelist rule from letting through similar spam messages. By default, the Auto-train with incoming mail preference is enabled. This means that if you receive a message that SpamSieve thinks is good, SpamSieve will automatically add whitelist rules so that future messages from that same sender are also classified as good.
Thus, it is important to correct all the mistakes to avoid having incorrect whitelist rules. You can delete a rule from the whitelist by selecting it and pressing Delete. It is normal to see spammy rules on the whitelist that are unchecked. This is because of auto-training. When SpamSieve thinks an incoming message is good, SpamSieve also adds a rule to the whitelist. If SpamSieve makes a mistake and lets a spam message through, when you train the message as spam it will disable the corresponding whitelist rules.
The rules will then be shown as unchecked. If you see spammy rules that are checked, this is not normal. It means that you have not been correcting all the mistakes. You can tell SpamSieve to classify every message from a particular domain as good. The whitelist has special support for mailing lists. Then SpamSieve will know that all messages from that mailing list are good, regardless of who sent them. You can use the whitelist to create codewords. 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. To access the preferences, click on the SpamSieve icon in the Dock.
Then choose Preferences… from the SpamSieve menu at the top of the screen next to the Apple menu. 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. 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. 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.
This is especially useful when testing the setup in your mail program. 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. If spam messages get through to your inbox because they are sent from addresses in your address book, you can either uncheck Use macOS Contacts or see the Exclude my addresses section. For more information, please see the How do I make SpamSieve catch spams sent from my own address?
Please note that the applications in the list are not sorted alphabetically. If the system keeps asking you for permission to access your contacts and does not remember this between launches:. Your copy of SpamSieve may be damaged. Please see the Reinstalling a Fresh Copy section. This is described in the Setting Up Entourage section.
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. You can also use this feature to catch spam messages sent from certain addresses in your address book. Normally, if you have Use macOS Contacts 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.
SpamSieve will continue to use the other addresses in the address book as before, always classifying messages from them as good. Enter a command such as:. Changes take effect the next time you launch SpamSieve. You can see which extra addresses are excluded by entering this command:.
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When you install SpamSieve, you should click the Load button to make SpamSieve read in the addresses in the Entourage or Outlook address book. This is not necessary for addresses that have already sent you e-mails, as SpamSieve will automatically see those messages and add the addresses to its whitelist. If you remove addresses from the Entourage or Outlook 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 or Outlook is downloading and filtering mail, as this may cause it to freeze.
This helps prevent forged spams from getting through. If you have multiple Entourage or Outlook identities, you can load the addresses into SpamSieve in sequence. Click Load , then change to another identity and click Load again, etc. Prior to macOS SpamSieve could access the system address book directly, so there was no need for SpamSieve to load the addresses from Entourage or Outlook. As of macOS If you have macOS If you have Outlook:. If the Sync Services list is empty, see this page or this page. Mac is checked. Enable this option so that messages that match enabled rules on the SpamSieve whitelist are never marked as spam.
Enable this option so that messages that match enabled rules on the SpamSieve blocklist are always marked as spam. Many spammers encode the contents of their messages with base 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. If you uncheck Use Bayesian classifier , SpamSieve will stop examining the full contents of the incoming messages, so this should only be done for testing purposes.
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. This makes SpamSieve play a sound when new good messages are received as described in the Notification section.
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. If the volume is set to zero, the Mac flashes the screen instead of playing the sound. If you are not hearing the sounds, make sure that you have selected an appropriate speaker in the Play sound effects through pop-up menu. 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.
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. 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. SpamSieve assigns each message a score between 0 and , 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. 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.
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. 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, so you should not train SpamSieve that they are spam. Once you have downloaded and installed Growl, the next time SpamSieve is launched it will use Growl to notify you when new messages arrive. If you are not using Growl, turn off this option in order to improve performance. Including the message body provides more context, which is particularly useful for Uncertain Spam notifications, but it also uses more screen space.
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. This option causes SpamSieve to automatically train itself with newly received messages based on their predicted categories. The whitelist will stay up-to-date so that messages from previous correspondents are never marked as spam.
Also, 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.
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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:. This will make SpamSieve classify all future messages from that sender as good. You receive an Amazon order receipt and train SpamSieve with it as a good message. This puts auto-confirm amazon.
A spammer might decide that auto-confirm amazon. 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. This will make SpamSieve classify all future messages from that sender as spam. It is highly recommended that you train the Bayesian classifier, as it is what SpamSieve uses to catch most spam messages.
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. Only change the bias if SpamSieve is consistently making errors in the same direction. This option causes SpamSieve to save such messages for later analysis. Clicking the Show button in the Advanced preferences opens the folder containing the saved messages.
By looking at the messages that SpamSieve missed, we can improve its algorithms to catch such messages in the future. 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.
It is OK for your anti-virus software to find viruses in the False Negatives folder. For more information, see the Does SpamSieve protect me from viruses? This option causes SpamSieve to use a more modern Dock icon, which may or may not fit in better with your other Dock icons. With this checked, SpamSieve will quit itself when you quit an e-mail program, provided that there are no other mail programs running. You can set esoteric SpamSieve preferences by clicking the links on this page.
Unlike with regular preferences, you must generally quit and re-launch SpamSieve in order for an esoteric preference to take effect. SpamSieve is normally highly accurate at filtering out spam messages, and once properly trained it will usually keep working well. Even if the setup initially worked, it can become incorrect over time due to file corruption or iCloud syncing problems. This section will help you to fix such setup problems yourself. You can also ask for help if you need additional assistance. If the message moved to the spam mailbox after Step 4, the rule worked.
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. Launch Mail and choose Preferences… from the Mail menu. Click the Manage Plug-ins… button at the bottom of the window.
When you first install the plug-in or when a new version of SpamSieve updates it, Mail will not load the plug-in until you have given your permission by enabling it. Additionally, if Mail receives new messages while the SpamSieve plug-in is disabled, the SpamSieve rule in Mail will move them to the Spam mailbox without consulting SpamSieve. SpamSieve will try to prevent this by temporarily deactivating the rule if it notices that the plug-in is disabled.
They do not need to be trained as good because SpamSieve did not think they were spam; they were moved by Mail. In rare cases, SpamSieve may think that the plug-in has not loaded, and ask you to enable it, even though it was actually working properly. For example, this can happen if Mail takes a very long time to launch. If this happens to you, please:. In rare cases, you may click the checkbox to enable the SpamSieve plug-in, but it will not stay enabled when you restart Mail.
This folder must be stored on the same volume as your home folder and, ideally, on the boot volume or Mail will not trust its contents. So you should not try to redirect the folder to another location, e. You can delete it without losing any important data , and then Mail will recreate it when you try to enable the plug-in, hopefully fixing the problem:. First, we will temporarily turn off System Integrity Protection so that we have access to delete the folder. In rare cases, two bugs in macOS Mail got an error: An error of type 8 has occurred.
Make sure that each account has a unique name. If you rename an inactive account, Mail will ask if you want to enable the account. Click Leave Disabled. Some macOS As soon as they sit down at the Mac and unlock the screen, Mail starts processing the messages again. Spam and shows the subject for the new message. If you see spam messages in your inbox, it might be because SpamSieve thought they were good, but it might also be that SpamSieve thought they were spam but Airmail was unable to move them to the Spam mailbox.
To see whether this is the case:. If the message moves back to your spam mailbox, the rule worked. Otherwise, there is some other problem with GyazMail or SpamSieve. If the message moved to the Junk E-mail folder and its category was changed to Junk after Step 7, the script worked. Please include your Console log. There are also links on the script page to enable debug logging so that additional information is logged. If the script files that PowerMail uses to communicate with SpamSieve are damaged, this will fix them.
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. Otherwise, there is some other problem with PowerMail or SpamSieve. Choose Show Statistics from the Filter menu. Does the Corpus section show at least spam messages and 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.
Check the percentage of spam messages in the Corpus section of the Statistics window. 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. Sometimes spammers forge one of your e-mail addresses and send you spam messages that appear to be coming from yourself.
If SpamSieve is not properly configured, these spams will keep coming into your inbox even after you train them as spam. Yes, you should train them as spam if they get through to your inbox. Once you fix the configuration, SpamSieve will be able to catch these messages as easily as any other spams.
SpamSieve has a feature specifically for catching this kind of spam. For messages sent from your address, SpamSieve will ignore the fact that your own address is in your address book. It will apply its normal Bayesian filtering engine to examine the entire contents of the message and evaluate whether it is spam. To use this feature, you need to do two things:. This tells SpamSieve to pretend that your address is not in the address book, thus bypassing the Use macOS Contacts safety feature but only for messages sent from one of your own addresses.
Tell SpamSieve which addresses are yours. You do this by listing them on your card in the Contacts previously Address Book application. Add the addresses to your card, making sure to enter them in the e-mail address section rather than the phone number section. Your card is the one that has your name and photo or login image.
It will be faster and easier to help you if your e-mail includes all of the following information:. For other types of problems, please describe what you did, what happened, and what did you expect to happen instead. This will make it easier for us to understand the issue that you are reporting. If an error window appeared on your screen, please include the exact text of the error message in your e-mail. It may help to use Copy and Paste.
Click on All Messages at the left of the window.