Re: sa: lottery message scored hammy by bayes:salearn --dump magin

2009-08-26 Thread Karsten Bräckelmann
On Wed, 2009-08-26 at 17:28 -0400, Dennis German wrote:
> Thanks for the support.

Voluntary support.  Please do keep the thread on-list, otherwise I'll
stop voluntaring. I'm not the only one who can help you.

> I do know enough not to past spam in a posting.

And yet you did paste the payload of a scam. Hint, the SOUGHT (FRAUD)
rule-set, which I feed myself, is designed to catch this sort of bare
text.


> I've been trying to get our local support(midphase) to
> handle some of the problems they have created by moving us to
> another server. Recall my question late last night ifm you got it.
> 
> Anyway,
> I haven't been manually doing training.
> 
> Should I be doing training?
> 
> Also did you notice error "could not find site rules directory"

Yes, I did.  Quite odd. Part of the reason I pointed out your setup, and
wondering out aloud which user is scanning and which one you dumped the
sa-learn stats for. Since you have not been training manually, these
should be the same.

As I have pointed out a couple times before, it is rather crucial to
manually train on *low* scoring spam, e.g. exactly like this one. They
are not auto-trained.


> My user_prefs is always available at
> http://www.real-world-systems.com/mail/user_prefs.cgi
> 
> 
> Karsten Bräckelmann wrote:
> > On Tue, 2009-08-25 at 21:21 -0400, Dennis German wrote:
> > > sa-learn --dump magic
> > > config: could not find site rules directory
> > > 0.000  0  3  0  non-token data: bayes db version
> > > 0.000  0 262297  0  non-token data: nspam
> > > 0.000  0  24621  0  non-token data: nham
> > > 0.000  0 142776  0  non-token data: ntokens
> > 
> > Recalling some fuzzy bits about your system and setup, I wonder if that
> > is the Bayes DB of the *scanning* user -- or a different one you have
> > been manually training.

-- 
char *t="\10pse\0r\0dtu...@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>=1)||!t[s+h]){ putchar(t[s]);h=m;s=0; }}}



Re: sa: lottery message scored hammy by bayes:salearn --dump magin

2009-08-26 Thread Karsten Bräckelmann
On Tue, 2009-08-25 at 21:21 -0400, Dennis German wrote:
> sa-learn --dump magic
> config: could not find site rules directory
> 0.000  0  3  0  non-token data: bayes db version
> 0.000  0 262297  0  non-token data: nspam
> 0.000  0  24621  0  non-token data: nham
> 0.000  0 142776  0  non-token data: ntokens

Recalling some fuzzy bits about your system and setup, I wonder if that
is the Bayes DB of the *scanning* user -- or a different one you have
been manually training.


-- 
char *t="\10pse\0r\0dtu...@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>=1)||!t[s+h]){ putchar(t[s]);h=m;s=0; }}}



sa: lottery message scored hammy by bayes:salearn --dump magin

2009-08-25 Thread Dennis German

sa-learn --dump magic
config: could not find site rules directory
0.000  0  3  0  non-token data: bayes db version
0.000  0 262297  0  non-token data: nspam
0.000  0  24621  0  non-token data: nham
0.000  0 142776  0  non-token data: ntokens
0.000  0 1246871454  0  non-token data: oldest atime
0.000  0 1251249448  0  non-token data: newest atime
0.000  0 1251218718  0  non-token data: last journal 
sync atime

0.000  0 1249634620  0  non-token data: last expiry atime
0.000  02764800  0  non-token data: last expire 
atime delta
0.000  0  65002  0  non-token data: last expire 
reduction count