Hi, >> Does anyone have any suggestions for optimizing the process for spam >> containing just a large image that would therefore bypass the typical >> scanning? Should I be scanning messages that large, then? > > Depends on your available CPU resources. If you always have a low > load average, you can scan larger messages. My production deployment > is such a workhorse that I've got it set to 1.1MB.
Will messages this large have the benefit of bayes? What would be the impact on the corresponding sa-learn of a message of that size? Perhaps only learn the header and body components that aren't an attachment somehow? Thanks, Alex
