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Posted to users@spamassassin.apache.org by Geoff Varney <ge...@ridge.k12.wa.us> on 2005/11/03 20:08:48 UTC
How to verify SA options being used by spamc from remote host
Hi,
I am using SpamAssassin in a way I believe is different from most users.
I have an IMail server (Windows 2003) which uses Declude JunkMail and a spamc
client (spamc32) to connect to a spamd server on my Redhat FC3 box. It is
working well in that I am getting spam reported by SA when invoking the
spamc32 client from JunkMail. However, I am not certain that it is working
altogether the way it should. I have trainied SA with both SPAM and HAM
(several hundred SPAMs at least and a few hundred HAMs) but wonder how I can
be CERTAIN that spamc32 is actually using the bayes database.
Maybe someone can tell me if this makes any sense at all:
I create an email message and send it to a recipient and it is scanned by SA
and found clean with a particular score. If I then feed that to sa-learn as
SPAM and then resend the same message again, should it NECESSARILY have a
different score, or is bayes looking at some many different things that it
COULD score the same? In my test it scored the same.
Here's how I am set up:
I start spamd with a -u spamd user. When I run spamc32 I also run as this
user. I don't believe the user piece is necessary in my case, I see no
difference when I use it vs. not.
I am trying to use a global setup, so all prefs are in the local.cf. There is
also a user.prefs file in /root/.spamassassin, which is also where the bayes
db is. Running spamassassin --lint -D does report it's using those
locations. If it would help I can provide the whole output of that.
I also don't see any additional info such as a header rewrite when a message
scores 5 or more. Is this something that won't happen due to the way I'm
using SA?
I'm just not sure how I can verify what my spamc client is doing with spamd.
Is it doing the basic default SA stuff and none of the stuff in my local.cf
somehow?
More info:
SA version 3.0.4
local.cf:
rewrite_header subject *****SPAM*****
report_safe 0
use_bayes 1
bayes_path /root/.spamassassin
bayes_auto_learn 0
skip_rbl_checks 0
use_razor2 0
use_dcc 0
use_pyzor 0
ok_languages all
ok_locales all
Thanks for any suggestions.
Geoff