Re: How would you provide a 554 rejection notice for spam?
Well, I setup MIMEDefang. Everything is working as I want except that the (fake) rejected mail does not make it through the milter to Exchange. I used action_bounce to reject the message in mimedefang-filter. Is there a way to send the rejection code but still get the message through the milter? I think I might be leaning towards Exim for it's fake reject feature if I can't get this to work. Thanks for all the feedback! -- View this message in context: http://www.nabble.com/How-would-you-provide-a-554-rejection-notice-for-spam--tf4167751.html#a11924044 Sent from the SpamAssassin - Users mailing list archive at Nabble.com.
How would you provide a 554 rejection notice for spam?
I've recently put SpamAssassin in front of my Exchange server as an SMTP proxy. Our previous spam filter would provide a 554 rejection notice for anything that was identified as spam. This meant that any FP would be notified so that email would not get silently ignored. Although a rejection notice was sent, we still retained the spam. This meant that when our users got a call from their customer about the rejected spam, they could quickly locate the message without it having to be resent. I would like to continue doing this with the new SA/Exchange setup. Right now I use spampd but I would like to change to Sendmail just because it is part of the default install for Redhat. How would you go about providing a 554 rejection notice? Would you do it on the SMTP proxy? On Exchange? Would you use Sendmail? Postfix? Something else? -- View this message in context: http://www.nabble.com/How-would-you-provide-a-554-rejection-notice-for-spam--tf4167751.html#a11857500 Sent from the SpamAssassin - Users mailing list archive at Nabble.com.
Force autolearn=ham for manual whitelist
Hello, I completed configuring all my network tests and the bayes database has passed 200 ham messages and is being used. The bayes database has been accumulating knowledge so far through autolearn. I was concerned about how one sided the autolearning has been since over 90% of our email is spam. To avoid FP, I put our customer database of email addresses into a manual whitelist. Although these addresses are making it through fine, only a few are being reported as autolearn=ham in the X-Spam-Status header, most are being reported as autolearn=no. Is there any way to force these messages through the autolearn process? -- View this message in context: http://www.nabble.com/Force-autolearn%3Dham-for-manual-whitelist-tf4132168.html#a11751873 Sent from the SpamAssassin - Users mailing list archive at Nabble.com.
