1. Do the Spam Score updates with every new relaese?
Not every release.. typicaly there's a whole new rulset at the start of a release family (ie: 2.40, 2.50, 2.60) and there is often a "re-scoring" of the rules somewhere in the middle (ie: 2.43, 2.54).
But most releases come without much in the way of ruleset changes because re-evaluating the scores is an inherently slow process.
2. What about mails sent by a blacklisted ipaddress? How do I check them? Currently it is scanning incoming emails and assigning them scores based upon their content and not checking who the X-Sender is. How do I enable this feature?
Erm... wait.. are you talking about RBLs of IP addresses, or blacklists of senders?
Normally the only IP based blacklisting is done by checking the Received: headers, not x-sender.
You need to install the perl module Net::DNS before RBLs will be run.
3. What are the advantages of using Vipuls Razor and Bayes filters?
Razor: if you get spam that several other people have seen and reported as spam, the score will be raised. This helps quite a lot with some of the small-short spams that have too little text to really trip anything. The drawback is this is a network test, and can take a while to complete as traffic must go to the razor server and back.
Bayes: this gets you the advantage of tuning SA to YOUR specific spam an nonspam patterns. It will affect the score of emails based on how closely they resemble the messages you trained bayes with. This also helps in making it harder for spammers to "tweak" their spam messages to avoid your filters, as the content of your bayes training won't be the same as anyone else. The drawback of bayes is increased cpu/memory/disk usage, and some associated slowdown.
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