Hi,
I've set up spamassassin on my mail hub, and it mostly works.
I'm seeing lots of Sven worm that it misses, as well as a whole heap
it catches (now I've upped the score for MICROSOFT_EXECUTABLE to 5.1)
The false negatives mostly have MICROSOFT_EXECUTABLE and BAYES_01
set, which adds to a score of -0.2. I've been saving these to a
file, and running sa-learn on them, along with learning as ham the
rest of the email I get, but it seems to be learning really slowly.
Is there any good way to seed things up? I'm seeing 40 to 50 SVEN
worm emails an hour; around 10 get through to my INBOX, the rest
are classified correctly.
Peter C
--
SLUG - Sydney Linux User's Group - http://slug.org.au/
More Info: http://lists.slug.org.au/listinfo/slug
