I would look closer into your bayes setup, as none of the spam headers
you posted had a bayes score at all. I would expect to see one of the
bayes rules hit, which leads me to believe there's something in your
sa-learn processing that isn't quite working.
Good idea about the wiki. Any interest in writing it? (While all this is
fresh in your mind) ;)
--
-Eric 'shubes'
On 03/15/2011 05:32 PM, Scott Hughes wrote:
Eric,
I am currently using the qtp-clean-spam script on my server. It runs
once per hour. During the run is learns and then deletes anything older
than five days (the number of days is adjustable).
I will look into your adjusted rules.
Thanks to everyone for your suggestions and help. I would like to some
day see a nice write up on the wiki about tweaking spamassassin to
increase spam fighting effectiveness.
Thanks,
Scott
On 3/15/11 7:18 PM, Eric Shubert wrote:
Spamdyke messages show in the smtp log. With log-level=info, you
should see one spamdyke message for each email, indicating whether it
was DENIED or ALLOWED (it's in uppercase in the log, I don't mean to
yell).
Good that your users are IMAP. There's a qtp-clean-spam script in QTP
which runs sa-learn against users spam directories. I'm not positive
how that works, as I use a little different method.
Anyone here using qtp-clean-spam script?
Once you have a bayes database developed (takes time), you should
adjust your scoring for bayes to weigh more heavily. Here's what I'm
presently using in local.cf (standard scores in comments):
# adjusting these scores gives bayes more weight
# commented values are the defaults
# score BAYES_00 0 0 -2.312 -2.599
# score BAYES_05 0 0 -1.110 -1.110
# score BAYES_20 0 0 -0.740 -0.740
# score BAYES_40 0 0 -0.185 -0.185
# score BAYES_50 0 0 0.001 0.001
# score BAYES_60 0 0 1.0 1.0
# score BAYES_80 0 0 2.0 2.0
# score BAYES_95 0 0 3.0 3.0
# score BAYES_99 0 0 3.5 3.5
score BAYES_00 0 0 -2.612 -2.899
score BAYES_05 0 0 -1.110 -1.110
score BAYES_20 0 0 -0.740 -0.740
score BAYES_40 0 0 -0.185 -0.185
score BAYES_50 0 0 0.001 0.001
score BAYES_60 0 0 1.5 1.5
score BAYES_80 0 0 3.0 3.0
score BAYES_95 0 0 4.0 4.0
score BAYES_99 0 0 5.1 5.1
---------------------------------------------------------------------------------
Qmailtoaster is sponsored by Vickers Consulting Group
(www.vickersconsulting.com)
Vickers Consulting Group offers Qmailtoaster support and installations.
If you need professional help with your setup, contact them today!
---------------------------------------------------------------------------------
Please visit qmailtoaster.com for the latest news, updates, and packages.
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
