The Sunday 2005-05-08 at 10:37 -0500, Andreas Philipp wrote:
X-Spam-Status: No, score=4.9 required=5.0 tests=AWL,BAYES_99,HTML_20_30, HTML_IMAGE_ONLY_24,HTML_MESSAGE autolearn=no version=3.0.2
A bayes_99 test result contributes in my standard setup of SA 3.0.3 exactly 4.1 points to the final score; see this example report:
True.
X-Spam-Report: * 0.5 TO_MALFORMED To: has a malformed address * -2.9 ALL_TRUSTED Did not pass through any untrusted hosts * 2.5 DATE_IN_FUTURE_48_96 Date: is 48 to 96 hours after Received: date * 2.5 DOMAIN_RATIO BODY: Message body mentions many internet domains * 0.5 HTML_COMMENT_SAVED_URL BODY: HTML message is a saved web page * 1.1 HTML_IMAGE_RATIO_02 BODY: HTML has a low ratio of text to image area * 0.0 HTML_90_100 BODY: Message is 90% to 100% HTML * 0.0 HTML_MESSAGE BODY: HTML included in message * 2.7 HTML_IMAGE_ONLY_08 BODY: HTML: images with 400-800 bytes of words * 4.1 BAYES_99 BODY: Bayesian spam probability is 99 to 100% * [score: 1.0000] * 1.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts * 0.0 MIME_HEADER_CTYPE_ONLY 'Content-Type' found without required MIME headers * 1.8 PRIORITY_NO_NAME Message has priority, but no X-Mailer/User-Agent
Your setup requires a final score >= 5.0 to trigger the message being marked as Spam, but the final score on your message is only 4.9. The Bayes testing score alone will never trigger a message to be marked as Spam, unless you increment its contributing score or lower the threshold for a message to be marked as Spam. In your current setup, this message, even with a positive BAYES_99 test result, isn't 'spammy' enough to reach 5.0 points.
I know... it is unfortunate. Either SA needs updating for new kind of spams with new rules, or I change the scoring. I'm inclined to do that, but I'm unsure of what score to give it. Probably just increase all of the bayes scores proportionately till BAYES_99 is 4.9 or 5. -- Cheers, Carlos Robinson