Maybe this is a completely crazy notion, but if the mail for these accounts is in fact actually flowing into/through your system, and being sent through SA already, you might create a rule so that any item with one of those addresses in it gets a high score so in turn your auto-learn threshold would trigger and process the item. And if that works, then you don't have to do anything else.
>>> <[EMAIL PROTECTED]> 08/18/08 2:08 PM >>> On Mon, Aug 18, 2008 at 1:59 PM, John Hardin <[EMAIL PROTECTED]> wrote: > On Mon, 18 Aug 2008, [EMAIL PROTECTED] wrote: > > Long time SA user here. I have googled much for an answer for this. I have >> a few email addresses that are clearly now spam only. I would like to >> blacklist them and use them as a honeypot to help train my Bayes through >> autolearn, does anyone have any suggestions on how to do this? >> > > Training from those users' mailboxes is pretty straightforward using > sa-learn in a script run from cron. I wouldn't worry about trying to get > autolearn involved. > > -- > > I guess I should have been more clear. Most of these email addresses have been forwarding into a junkemail gmail account and have no 'local' mailboxes of their own, and I would like to keep it that way. I am also using MailScanner if thats of any use. Basically I want (yes I dont care if a spambot gets this addy) [EMAIL PROTECTED] to always only be recognized as spam content and have it learned. Since there isnt a mailbox how would this best be accomplished? Thanks! Richard Ahlquist
