Are you seeing any spamdyke rejections at all? The 3rd header you posted
hit the RDNS_NONE rule, which spamdyke should have rejected.
There doesn't appear to be a filtering appliance in front of your QMT
host, so that's a good thing.
It doesn't look like you're using sa-learn with bayes at all. At least
these messages didn't fire any bayes rules. Using sa-learn with a
feedback mechanism is a much easier thing to do with imap than it is
with pop3. Are these pop3 or imap users?
--
-Eric 'shubes'
On 03/15/2011 02:06 PM, Scott Hughes wrote:
-----Original Message-----
From: Eric Shubert [mailto:e...@shubes.net]
Sent: Tuesday, March 15, 2011 3:56 PM
To: qmailtoaster-list@qmailtoaster.com
Subject: [qmailtoaster] Re: Increasing SPAM catch rate
On 03/15/2011 01:46 PM, Scott Hughes wrote:
Currently I use the following items / settings in order to stop the spam
coming into my QMT system.
Spamassassin required score 3.5
Pyzor
Razor2
Spamdyke
Spambox option with the clean-spam script turned on and set to five days
Using SURBL and blacklists
I believe that is all of them (at least all I can think of right now).
My question is this: How can I fine-tune my system to better catch the
spam. I have one user that gets about 30 spam emails a day and doesn't
ever seem to trip spamassassin (in order to get the Spam folder to show
up in her mailbox folders). They either are rejected outright or are let
in as legit. email.
Thanks,
Scott
It's a little hard to help you tune things, when we don't know what your
settings are. Spamdyke and spamassassin configs would be helpful.
Are you using sa-learn at all?
Also, the headers from an example of spam that made it though would be
helpful.
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