After years of running the autolearn I've finally had some
problems with mail getting tagged incorrectly.

Specifically I'm finding mail is getting tagged as though it
was in Razor and DCC. So today I ran sa-learn --clear. This
worked on reducing the tagging for one of my users that
could not recieve mail from her own home address. The dcc
and razor no longer scores for her but she is recieving a
high AWL score.

Here are the results of her sending a before and after
message with nothing in it...

Before clearing the DB these were the score results:
X-Spam-Status: No, hits=-85.108 tagged_above=-999 required=5
 tests=[AWL=-1.138, DCC_CHECK=5, DIGEST_MULTIPLE=0.231,
 DNS_FROM_RFC_ABUSE=0.374, DNS_FROM_RFC_POST=1.376,
FORGED_RCVD_HELO=0.05,
 HTML_90_100=0.189, HTML_MESSAGE=0.001,
MIME_HTML_MOSTLY=0.285,
 PYZOR_CHECK=2.041, RAZOR2_CF_RANGE_51_100=1.485,
RAZOR2_CHECK=5,
 SPF_HELO_PASS=-0.001, SPF_PASS=-0.001,
USER_IN_WHITELIST=-100]

After clearing it they were:
X-Spam-Status: No, hits=-91.227 tagged_above=-999 required=5
tests=[AWL=6.974,
 DNS_FROM_RFC_ABUSE=0.374, DNS_FROM_RFC_POST=1.376,
FORGED_RCVD_HELO=0.05,
 HTML_MESSAGE=0.001, SPF_HELO_PASS=-0.001, SPF_PASS=-0.001,
 USER_IN_WHITELIST=-100]

My question is how do I fix the AWL score?

=========================
Kevin W. Gagel
Network Administrator
Information Technology Services
(250) 562-2131 local 448


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