Perhaps you can use fetchmail on the linux box? With some help I was able to create a fetchmail script that did the following:
1. Look for account info for fetchmail via a mysql database 2. Grab the email from that account using fetchmail 3. Feed it to SA on the linux box and filter it like a normal email to the linux mailbox That way you can use your normal filters, such as maildrop, to determine if it is spam or ham and move them to the appropriate location based on the scoring. Perhaps you could create a single mailbox where the email gets delivered to from the fetchmail script and have a ham and spam folder. Then if it is spam it goes into the spam folder and visa versa for ham. That way the majority stuff is done automatically. I just setup the fetchmail script as a cron that checks every 15 minutes. Robert -----Original Message----- From: Mike Sassaman [mailto:[EMAIL PROTECTED] Sent: Thursday, January 12, 2006 9:09 AM To: users@spamassassin.apache.org Subject: RE: getting spamassassin learn to separate spam from ham, postfix and exchange I would also be interested in the answer to this. Although I am using Sendmail + smtpvilter + SA (with spamd) as a relay, with an Exchange server behind it. Basic questions is the same: How do I get spam off the exchange server en masse to train bayes? -----Original Message----- From: Karsten Krämer [mailto:[EMAIL PROTECTED] Sent: Thursday, January 12, 2006 4:32 AM To: users@spamassassin.apache.org Subject: getting spamassassin learn to separate spam from ham, postfix and exchange Hi, we use postfix, amavisd-new, spamassassin on a linux box as relay, exchange on server 2003 as final destination. Which way is the best to get (ham and/or spam) mail out of user mailboxes from exchange to linux for further "sa-learning". Maybe there exist some Howto - we didn't manage to find them yet. At the moment we collect the body texts in two big files and manually learn spamassassin to separate the "good from the ugly", but in this way all headers are lost. Any more advanced ideas? Any help appreciated. Thanks Karsten