On Wednesday 14 September 2005 18:34, Bret Miller wrote:
>> We're in the need of checking parts of our outgoing email for
>> spam (read: we've got unknown webmail users.. hugs lots of them,
>> actually.. and some of them have this annoying habit of sending
>> nigeria spam) 
>> 
>> [considering network tests useless, Bayes excellent, but feels the 
>> default weighting may be useless] 
>>
>> How do we re-weight the rules, and does anyone have any good
>> suggestions on which checks to use?  Also, checking for certain
>> blacklisted URLs in the messages will probably help (Someone recommended
>> SURBL for  this) .. but I think a re-weighting will still be in order.
>
> I'd be inclined to try the SARE fraud rules (see www.rulesemporium.com)
> in addition to the SA internal and bayes tests. 

Excellent suggestion!  I think we'll try those.  

> If you find that doesn't give you a high enough score, pushing the
> BAYES_99 score a little higher might be in order.

That was what I was thinking about.  Others have mentioned local.cf, which 
of course is a good thing (and we've already looked at that, it's covered 
quite well in the docs).  What I was thinking was using the 
'masses/corpus'-things to generate our own weightings, trying to tune 
SpamAssassin for our particular use-case.  Not sure if they're meant for 
that, though - and very unsure on how to do that. I've not been able to dig 
that up through the docs. If it's a bad idea - please do not hesitate to 
point it out. 


Also, David B Funk suggested using -L , indicating "No network tests".  As 
mentioned, I'm cosidering using SURBL.  Is it possible to still use SURBL 
with -L ?  The docs says this is "Use local tests only (no DNS)" and that 
seems to be off the mark.



-- 
Rune Kristian Viken
Basefarm AS
Tlf: (+47) 98 28 28 41

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