Dear all, I have a question regarding sa-learn and SPAM messages that were passed through SA.
My setup: SA 3.0.2 used with qmail-scanner 1.25. There are some spam messages being not blocked by SA so as far as I understood I can teach Bayes to learn them? But is it worth to feed sa-learn with junk messages that already have headers modified? For example I received a junk message, SA checked it and passed through adding the following info to header: X-Spam-Status: No, hits=3.2 required=3.5 X-Spam-Level: +++ X-Spam-Report: SA TESTS 0.0 HTML_MESSAGE BODY: HTML included in message 0.1 RAZOR2_CF_RANGE_51_100 BODY: Razor2 gives confidence level above 50% [cf: 100] 0.2 HTML_10_20 BODY: Message is 10% to 20% HTML 0.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts -2.0 BAYES_20 BODY: Bayesian spam probability is 5 to 20% [score: 0.1392] 1.5 RAZOR2_CHECK Listed in Razor2 (http://razor.sf.net/) 0.1 RCVD_IN_SBL RBL: Received via a relay in Spamhaus SBL [222.64.182.119 listed in sbl-xbl.spamhaus.org] 3.1 RCVD_IN_XBL RBL: Received via a relay in Spamhaus XBL [222.64.182.119 listed in sbl-xbl.spamhaus.org] Can I feed this message to sa-learn identifying it as SPAM? Thank you for your time. Roman
