adding configuration for spamassassin.
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"|IFS=' ' && exec /usr/bin/procmail -f- || exit 75 #foo"
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# SpamAssassin sample procmailrc
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#
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# Pipe the mail through spamassassin (replace 'spamassassin' with 'spamc'
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# if you use the spamc/spamd combination)
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#
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# The condition line ensures that only messages smaller than 250 kB
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# (250 * 1024 = 256000 bytes) are processed by SpamAssassin. Most spam
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# isn't bigger than a few k and working with big messages can bring
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# SpamAssassin to its knees.
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#
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# The lock file ensures that only 1 spamassassin invocation happens
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# at 1 time, to keep the load down.
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#
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:0fw: spamassassin.lock
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* < 256000
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| spamassassin
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# Mails with a score of 15 or higher are almost certainly spam (with 0.05%
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# false positives according to rules/STATISTICS.txt). Let's put them in a
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# different mbox. (This one is optional.)
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:0:
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* ^X-Spam-Level: \*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
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almost-certainly-spam
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# All mail tagged as spam (eg. with a score higher than the set threshold)
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# is moved to "probably-spam".
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:0:
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* ^X-Spam-Status: Yes
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probably-spam
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# Work around procmail bug: any output on stderr will cause the "F" in "From"
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# to be dropped. This will re-add it.
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:0
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* ^^rom[ ]
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{
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LOG="*** Dropped F off From_ header! Fixing up. "
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:0 fhw
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| sed -e '1s/^/F/'
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}
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this set up is a per user set up
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put .forward and .procmailrc in the root of a users home directory.
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in .forward change foo to the user you want to test (or just make a user called foo)
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apprently this will initilize the the Bayes Database
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sa-learn --sync
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send the user some mail, it should get put through procmail and spamassassin.
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send this as the body of a message, it should always be detected as spam and not reach the user.
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XJS*C4JDBQADN1.NSBN3*2IDNEN*GTUBE-STANDARD-ANTI-UBE-TEST-EMAIL*C.34X
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