On 11/23/11 3:03 PM, Eric Shubert wrote:
I'm a little surprised nobody has chimed in on this, so I'll go ahead.
First off, spamdyke indeed appears to be working well for you. A bit
better than I would have expected even, but that's only based on a
hunch (I've yet to run stats on my servers).
The problem you face with the SA bayes database is that it's global,
and what's spam to one customer might not be spam to another. My
thinking is that using a user feedback mechanism to update bayes is
not going to work well in multi-domain environments. Note, I do
implement this sort of thing on QMT hosts that have single or few
domains however.
That is a good point. So would you recommend that I can bayes altogether?
I think your best approach will be to gather feedback from your
complaining users, and look at each instance individually.
Agreed. I guess it would be nice if I had an easier way to get my
customers to send me copies of the mail in question...I typically either
have them send a snippet of the message headers, or forward the message
as an attachment - however this doesn't always work, as more times than
not they will simply forward the message, and then I lose the headers I
need to look at. Times like that I really like the ones that are able to
follow directions :-)
Examine what the SA score is presently on such items. The QMT stock
values for SA are a bit loose, so tightening them down a bit will
probably help. Personally, I use spam-hits=5.1 in simcontrol (rejects
emails above this), and required_score 3.7 in the SA local.cf file,
which is the score above which messages are tagged. YMMV, as I do use
a tailored bayes db for scoring.
Then have your users set up mail filters to put spam in a Junk folder,
to get it out of their inbox. This will make a big impact on their
perception of how much spam they receive.
That would be great....if I knew that they'd all follow through and do
that. Its definitely worth educating them on how to do so, but can you
think of a way with (KISS in mind) that I could do this from my end? On
other systems I've used procmail in the past to drop the spam into a
specific folder, but it seems like there has got to be a few different
ways to do it.
FWIW, here's the SA local.cf file I'm presently using:
ok_locales all
skip_rbl_checks 1
required_score 3.7
report_safe 0
rewrite_header Subject [SPAM]
use_pyzor 1
use_auto_whitelist 1
bayes_path /home/vpopmail/.spamassassin/bayes
use_bayes 1
use_bayes_rules 1
bayes_auto_learn 1
bayes_auto_learn_threshold_spam 5.5
bayes_auto_learn_threshold_nonspam 0.1
bayes_auto_expire 0
loadplugin Mail::SpamAssassin::Plugin::URIDNSBL
trusted_networks 192.168/16
# temporary fix for this rule
score FH_DATE_PAST_20XX 0.0
# Rule2XSBody - speedup by compilation of ruleset to native code
loadplugin Mail::SpamAssassin::Plugin::Rule2XSBody
# 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
Let us know how you make out.
And remember to KISS.
Thanks for the example with your SA config...I'll make some adjustments
to mine. Right now our required score is set somewhere between 4.2 and
4.5, so maybe lowering it a hair would help. Guess I'll need to read up
on the "score BAYES_XX" portion of your config to figure out what
exactly all that means. I'm assuming it is assigning scores to specific
rules, but I need to familiarize myself with the syntax.
Thanks again!
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