Hi. Why do you think bayes have problems with such email? Considering the example you put on Pastebin is triggering "BAYES_00=-1.9" I believe that if you are able to collect a sufficient amount of these messages and feed it to SA through sa-learn you should start to trigger more BAYES_5X or even BAYES_9X rules.
Since you are operating a forwarding server for other users you can think about creating a fake account just to collect samples such as the one you've posted. Regards, Matteo On 07.07.2015 05:21, Alex wrote:
Hi, We have a system with a few hundred users, many of which forward their mail off the server to their gmail or yahoo account. Lately I've started to notice quite a few messages are being tagged by gmail and delayed being received as unsolicited. I know the KAM rules contain a marketing rule, and razor helps too, but too many of these marketing messages are not being tagged. [SNIP] Here is an example message: http://pastebin.com/kaD3AQMz I realize bayes may be a problem on this one, but do you have any suggestions for blocking these more effectively before they're forwarded on to gmail? Thanks, Alex
