On Tue, 2014-07-01 at 12:33 -0700, motty cruz wrote:
> I trained SA with about 700 SPAM emails and with about 258 HAM
> emails.
> X-Spam-Status: No, score=0.003 tagged_above=-999 required=5.3
> tests=[DKIM_SIGNED=0.001, HTML_IMAGE_RATIO_06=0.001,
> HTML_MESSAGE=0.001, T_DKIM_INVALID=0.01,
> T_RP_MATCHES_RCVD=-0.01] autolearn=no
There's no BAYES_* rule hit. That means your manual training of ham and
spam has been done as the wrong user. You need to do the training as the
same user Amavis / SA runs as.
Earlier header pastes suggest you are using catch-all. Just, don't.
Not using catch-all will *significantly* reduce the amount of spam,
simply by completely eliminating the bulk of spam to otherwise false
addresses.
--
char *t="\10pse\0r\0dtu\0.@ghno\x4e\xc8\x79\xf4\xab\x51\x8a\x10\xf4\xf4\xc4";
main(){ char h,m=h=*t++,*x=t+2*h,c,i,l=*x,s=0; for (i=0;i<l;i++){ i%8? c<<=1:
(c=*++x); c&128 && (s+=h); if (!(h>>=1)||!t[s+h]){ putchar(t[s]);h=m;s=0; }}}
