Hi,

Rocco Scappatura wrote:
There is another discussion on this list about rules that catch these sorts of messages. Check that out for ideas.

For what it is worth these are the rules I get:

Content analysis details:   (10.5 points, 5.0 required)

  pts rule name              description
---- ----------------------
--------------------------------------------------
2.9 FROM_LOCAL_NOVOWEL From: localpart has series of non-vowel letters
  0.1 FORGED_RCVD_HELO       Received: contains a forged HELO
0.0 DK_POLICY_SIGNSOME Domain Keys: policy says domain signs some mails
  0.6 J_CHICKENPOX_14        BODY: 1alpha-pock-4alpha
3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
                             [score: 1.0000]
2.4 RCVD_IN_WHOIS_BOGONS RBL: CompleteWhois: sender on bogons IP block
            [102.176.29.76 listed in
combined-HIB.dnsiplists.completewhois.com]
  1.0 RCVD_IN_JANET_RBL      RBL: Relay in JANET MAPS RBL+ RBL
[102.176.29.76 listed in rbl-plus.mail-abuse.ja.net]
  0.0 MSGID_FROM_MTA_HEADER  Message-Id was added by a relay

I get:

 pts rule name              description
---- ----------------------
--------------------------------------------------
 2.9 FROM_LOCAL_NOVOWEL     From: localpart has series of non-vowel
letters
 0.1 TW_GD                  BODY: Odd Letter Triples with GD
 0.1 TW_LG                  BODY: Odd Letter Triples with LG
-0.2 BAYES_40               BODY: Bayesian spam probability is 20 to 40%
                            [score: 0.3955]
 2.4 RCVD_IN_WHOIS_BOGONS   RBL: CompleteWhois: sender on bogons IP
block
           [102.176.29.76 listed in
combined-HIB.dnsiplists.completewhois.com]
 0.0 MSGID_FROM_MTA_HEADER  Message-Id was added by a relay
 0.6 AWL                    AWL: From: address is in the auto white-list

But only after some hours that I have received the messages..

I suppose that at that time the score assigned by your SA was lower than
you just report above.. (maybe at that time, the IP 102.176.29.76 was
"not-DNSBListed" ).

Anyway, I figure out that your SA use different rulesets of mine..

Could you instruct me about a good set of ruleset I have to use to lower
the chance that spam pass trhough my spam-scanner, maintaining a good
level of performance?

The biggest difference is that my Bayes system scored it as BAYES_99 which adds 3.5 points, and your Bayes system scored it as BAYES_40 which subtracted 0.2 points.

I did get a few of those emails come through at the start, but by feeding them into my Bayes system they now get caught.

--
Anthony Peacock
CHIME, Royal Free & University College Medical School
WWW:    http://www.chime.ucl.ac.uk/~rmhiajp/
"If you have an apple and I have  an apple and we  exchange apples
then you and I will still each have  one apple. But  if you have an
idea and I have an idea and we exchange these ideas, then each of us
will have two ideas." -- George Bernard Shaw

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