Hi,

Right now I have sendmail, spamassassin-milter.c, and spamd running and my
flagged mail is dumped in a spam folder by procmail.  This alleviated a
lot of my spam but more and more seems to get through by the  day.  Some
mail doesn't have the flags saying it was checked by SA at all.   My
question is what is my ideal setup?  Do I even need the milter?  Should  I
just let procmail invoke spamassassin?  I have some spam being filtered
but a lot just passes through.. I'd say about 50% is caught.

Thanks in advance,

.. erich.

Hi, Erich


Well, I have SA-2.60 RC-4, Sendmail 8-12-9, and Spamass-milter 0.1.3a running, and it works pretty well for me. Even more, since I've installed SA 2.60 RC4, i've stopped doing RBL, Razor and DCC checks, and I only get four or five false negatives each day, and two or three false positives. I've set up Spamass-milter with the "patch 411" (search for it in the spamass-milter web site), which allows me to redirect spam with scores between 5 and 15 to a quarantine account, and plainly reject anything above 15. Of course, I had to lower the bayes learning score to 10, so I can populate the database. But it seems to work pretty well, since I get 1300 mails a day in the quarantine account (you do the maths, but I think that 3 FP's in 1300 is a good low percentage of false positives).
That is the key, seems to me. Since spamass-milter rejects anything over 15, you probably do not get enough data to make Bayes work correctly. Most of my well-tagged mail comes from the Bayes scores.
another thing to look out is the memory usage, and the processor load. I had many problems in the past concerning the processor load and the lack of memory of my server, but since I've migrated some services to another machine, and upgraded to 512 MB of RAM, practically every mail is tagged.


If you wanna have my sendmail.mc or my local.cf, or the startup scripts, drop me a line...

                   Luis Hernán Otegui
                 Administrador de Red
            Facultad de Ciencias Exactas
                             UNLP
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