THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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#Uncomment the following lines and use tail -f procmail.log to debug
#LOGFILE=$HOME/procmail.log
#VERBOSE=yes
#LOGABSTRACT=all
# Feed redirected spam to sa-learn, and also store a copy in a folder called spam.
# This folder of false negatives could be useful if we needed to rebuild our Bayes
# database in the future.
:0
* ^To:.*spam@example.com
* < 256000
{
:0c: spamassassin.spamlock
| sa-learn --spam
:0
spam
}
# Send all other mail through SpamAssassin
:0fw: spamassassin.lock
* < 256000
| spamassassin
# Mail that is very likely spam (>15) can be saved on the server
# (not forwarded), or by moving the # down one line, even dropped
# on the floor. Note that dropping mail on the floor is a *bad*
# idea unless you really, really believe no false positives will
# have a score greater than 15. If you want all mail forwarded,
# just add #'s in front of each of these lines:
:0
* ^X-Spam-Level: \*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
#/dev/null
almost-certainly-spam
# Forward all mail with a score less than 15 to my non-publicized address
:0
! privateaddress@example.net
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This file is available \[get:procmail.forward.txt here\]. If you don't currently have a procmail file, you can import that one by entering |
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wget http://wiki.apache.org/spamassassin-data/attachments/ProcmailToForwardMail/attachments/procmailrc.forward.txt
mv procmail.forward.txt .procmailrc
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On your mail client, you'd then likely want to filter mail with a score of 5 or higher (i.e., where "X-Spam-Level: *****") into a Likely Spam folder. False Positives rarely score higher than 15. The advantage of leaving mail with a score of 15 or higher on the server is that it makes it easier to find false positives in the Likely Spam folder without being overwhelmed by hundreds of obvious spam. You can then ManualWhitelist those false positives.
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