Hello,
I might need to join the spamassassin mailing list for this Q, but just in case anyone here can help first:
I've got a mail set-up where exim4 hands mail to spamassassin before delivering to mailboxes local on the server. Users put any missed spam into missed-spam folders, and misfiled ham into missed-ham folders, and a cron job runs regularly to allow sa-learn to run learning from these folders.
The problem is - it says it is learning, but it isn't. It is letting through handfuls of the same spam over and over. It's as if SA is running without paying any attention to the bayes-db, which would be weird as that is what I thought was a core integral part of spamassassin. Am I missing something in the basic setup?
An example header of a missed spam shows something like:
X-Spam_report: Spam detection software, running on the system "example.co.uk", has NOT identified this incoming email as spam.
-then a few lines further down:
3.5 BAYES_99 BODY: Bayes spam probability is 99 to 100% [score: 1.0000] 0.2 BAYES_999 BODY: Bayes spam probability is 99.9 to 100% [score: 1.0000]
Any ideas? It's driving me nuts.
Thanks, Jenny