It appears as if the blacklist_keywords can capture a lot of Spam.  So far
we have nothing in that file.  We are worried about the refusal of emails
which may be genuine.  So while we might want to blacklist Viagra, we would
not want to blacklist an email from a medical person, for example, which
might refer to Viagra (I'm not even sure that this email will make it to the
list having mentioned that word!).

Do people have tried and tested contents of that file which they can advise
on to prevent false positives - because we only show about 50-60% spam being
caught.  I think that is partly because we also have ASL installed which
blocks lots before it even gets to the mail queue.  If  we can use the
blacklist_keywords effectively, we would love to and look forward to any
suggestions from seasoned users. 

Kind regards, 
 
Christoph

-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Mirko Buffoni
Sent: 01 September 2009 14:27
To: spamdyke users
Subject: Re: [spamdyke-users] Spam Stats

Goods average between 500 and 2000 daily.  Figures are however
pretty standard.  Spamdyke filters out about 60k attempts daily.
Here are yesterday stats:

     Good :   1025 =   0.68 %
    Unsure :    183 =   0.12 %
     Virus :     62 =   0.04 %
BAD Sender:   5114 =   3.40 %
BAD  Rcpt :    212 =   0.14 %
Pure SPAM :  45997 =  30.56 %
   SPAMMER :  97940 =  65.06 %
      |
      \.............BLACKLISTED_KEYWORD :  29608 =  30.23 %
      \..............DENIED_EARLYTALKER :      3 =   0.00 %
      \...............DENIED_IP_IN_RDNS :  30447 =  31.09 %
      \................DENIED_RBL_MATCH :  23268 =  23.76 %
      \.............DENIED_SENDER_NO_MX :  13070 =  13.34 %
      \......DENIED_TOO_MANY_RECIPIENTS :      1 =   0.00 %
      \....DENIED_UNQUALIFIED_RECIPIENT :      1 =   0.00 %
      \.........................TIMEOUT :   1542 =   1.57 %

------------------------------
     Total : 150533 = 100.00 %


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