On Thu, Nov 02, 2006 at 03:38:11PM +0100, Jakob Curdes wrote:
> Do you use Bayes in spamassassin ? Without a self-adapting filter such
> as bayes or dspam a lot of stuff will slip through nowadays.You can tell
> SA to train bayes from the rule-based score. Then you get a quite good
> database without much manual traiing. Every spam case with slightly
> varying text is ideal for bayes. after a dozen or so messages bayes
> will have learnt the lesson.
I beg to differ with you. On the contrary, there have been a number
of recent posts to the SA list from admins all of whose spam is now
identified as BAYES_00 and AWL, because they enabled autolearn and let
it run on its own while a lot of spam was slipping through.
If significant amounts of spam are being missed in the first place,
they are ipso facto being scored low, so if you aren't *manually*
training them as spam they are more likely to get learned as ham than
as spam.
> >The content of the email is ASCII, no HTML, no images, pretty clean.
> >Currently we are using Fuzzy_OCR, DCC, Pyzor, all the reliable RBL's and
> >SBL's and they still slip under the radar. What are you guys doing to
> >block these? I've grabbed a couple of SARE rulesets (kam, sare_stocks)
> >and they still don't seem to catch these specific ones.
> >
> >I appreciate the help
I know the kind of spam you mean, but I have not checked to see
what's catching or blocking it.
How long ago did you grab the stocks ruleset? It was updated only a
couple weeks ago, and I've been having pretty good results since then.
It may also be that the recently added graylisting on our mailservers
is deflecting the spamware used by this particular stock spammer.
Graylisting does seem to offer a huge benefit.
-- Clifton
--
Clifton Royston -- [EMAIL PROTECTED] / [EMAIL PROTECTED]
President - I and I Computing * http://www.iandicomputing.com/
Custom programming, network design, systems and network consulting services
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