Matus UHLAR - fantomas
uhlar at fantomas.sk
Tue Jan 30 10:21:19 CET 2018
On 29.01.18 13:39, Computer Bob wrote:
>I also agree that at this point auto learn should be off and cleared
>as I have done.
how could you come to this conclusion, when the only BAYES score you have
got was BAYES_50 and you've had no BAYES_ before?
autolearn creates good starting database and it's often easier to re-train
on false-positives and false-negatives than train whole DB manually
(my experience on multiple servers)
>But I still continue to get garbage mails through showing headers such as:
>X-Spam-Status: No, score=0.61 tagged_above=-9999 required=5
> tests=[HTML_FONT_LOW_CONTRAST=0.001, HTML_IMAGE_RATIO_04=0.61,
> HTML_MESSAGE=0.001, SPF_HELO_PASS=-0.001, SPF_PASS=-0.001,
> T_REMOTE_IMAGE=0.01, T_RP_MATCHES_RCVD=-0.01]
> autolearn=no autolearn_force=no
do you have razor and dcc installed?
they help much when testing bulk mail / spam.
>And as I said, when I run them through SA at the command line they
>seem to score correctly.
note that checing the same message later may cause much more hits because of
network checks started hitting since.
the question is, why do you have such different scores in amavis.
did you modify scores in amavis' config file?
Matus UHLAR - fantomas, uhlar at fantomas.sk ; http://www.fantomas.sk/
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