> 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) > > My question is how to get SpamAssassin to identify the spam, > as the network > tests will be quite useless (all the email will be originating in a > standard format, from our own servers). Bayes will probably be quite > efficient, and so will various other local checks - but I > have this nagging > feeling that the standard weighting of the rules will be too > lax in this > use-case (due to nothing but content-checks triggering). > > 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. > > Suggestions?
I'd be inclined to try the SARE fraud rules (see www.rulesemporium.com) in addition to the SA internal and bayes tests. If you find that doesn't give you a high enough score, pushing the BAYES_99 score a little higher might be in order. Bret
