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I have my server rejecting messages over a certain spam score, and forwarding them to a spam<_at_> address. When I find a false positive in the spam mailbox, how do I train the Bayesian filter on it? It is an attachment to an email, it's not in a spam folder that I can move to inbox to train.

Thanks as usual!
ksnyder (KERIO)

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Hi Chris. Just thinking about this a bit. For the false positive(s), if you were to read the contents of the emails - do they sound "spammy"? I wonder if you truly want to "untrain" those messages if the content and language is such that the majority of the time you'd want to catch it. Instead, would it perhaps be more desirable to simply whitelist the sender?

Ken Snyder
Director, Sales Engineering | Kerio
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I have been whitelisting the senders, and you're right. I'll check to see if they do sound spammy.


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Two options come to mind.

1 - Whitelist the sender's email address or domain in Admin.

2 - Look at the headers and see what is hit to add the score up to the spam level. Maybe you need to adjust something in the spam rules, either in Admin by creating a rule that adds a negative (-) score, or adjusting a score in Spam Assassin. Spam Assassin is designed to be customized for your particular installation. It is not hard to do, if you are interested in taking better control of your spam processing, and can yield amazing results.
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