How do the spam ratings work?
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Updated: 22/03/2021
Article #: 29
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Spam ratings are used to determine if an email is spam or good.
Each spam tool is given a spam rating (a positive or negative number)
and a resulting total spam score is computed to determine if an email is
good, neutral or spam.
The good filters consist of: Friends list: A list of your friends email address and domains. Default score +200 Filters: You can create a good filter and give it a score between +1 and +200 Learning: As you train messages as good, MailWasher will automatically assign a score of +1 to +200 for the email based on it's content. The spam filters consist of: Blacklist: A list of email address and domains from people you don't want to get email from: Default score -200 Filters: You can create a spam filter and give it a score between -1 and -200 Origin of spam: External blacklists called Real Time Blackholes (RBL's). Default score -50 FirstAlert!: Firetrust's real-time honey pot of actual spam messages: Default score -150 Learning: As you train messages as spam, MailWasher will automatically assign a score of -1 to -200 for the email based on it's content. Neutral or undetermined emails are determined by a total score between -50 and +50 You can quickly see the total score of an email by clicking on the sidebar in the inbox and highlighting an email. The sidebar shows those spam tools which have been triggered along with their score and a total score at the bottom. A gauge also shows where the emails total points are over the range of points. Auto Delete When an email reaches a certain points value, you can set MailWasher to auto delete that email so it is sent directly to the recycle bin. |
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