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Hello Kurt,

Monday, November 17, 2003, 11:03:24 AM, you wrote:

KB> I've just put up 2.60 on FreeBSD, and consider myself a bit of a
KB> newb, but I've been reading the man page for spamassassin, and found
KB> a section on spamtrapping. We've got 40 or so addresses of former
KB> employees that would be ideal for this purpose, but I'm not much
KB> interested in Razor/DCC, etc. What I'd really like to do is feed the
KB> spamtrapped stuff into the Bayes database. Is this a reasonable
KB> thing, and if so, is there a way to do it?

You don't indicate how your email is being delivered and/or retrieved. My
methods work for POP3 on my system -- YMMV

Concern:  Are you 1000% sure that EVERY email sent to those addresses
will be spam? I have an old email address for someone no longer with the
organization that was discontinued 6 or 7 years ago, and we still get one
or to valid emails to that address each year. I'm therefore unable to use
that address as an automatic spamtrap. You do NOT want to poison your own
Bayes database with even one or two messages a year.

Method: Auto-forward any such addresses to a common spamtrap mailbox. Run
sa-learn --spam --mbox $directory/inbox against that mailbox every so
often (daily? hourly?). Delete the inbox file after each sa-learn run.

Alternate (no special spamtrap needed): Auto-forward any/all unknown
email address (eg: [EMAIL PROTECTED]) to a common "check these
out" mailbox. Add rules to your local.cf to kick the SA score above your
auto-learn threshold for these specific email addresses. They'll be
auto-learned.

Note: Both methods assume system-wide Bayes. It'll do no good to apply
these to one Bayes database which is not used by the majority of email
users.

Bob Menschel

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