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418 lines
16 KiB
EmacsLisp
418 lines
16 KiB
EmacsLisp
;;; mh-junk.el --- Interface to anti-spam measures
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;; Copyright (C) 2003 Free Software Foundation, Inc.
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;; Author: Satyaki Das <satyaki@theforce.stanford.edu>,
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;; Bill Wohler <wohler@newt.com>
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;; Maintainer: Bill Wohler <wohler@newt.com>
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;; Keywords: mail, spam
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;; This file is part of GNU Emacs.
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;; GNU Emacs is free software; you can redistribute it and/or modify
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;; it under the terms of the GNU General Public License as published by
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;; the Free Software Foundation; either version 2, or (at your option)
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;; any later version.
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;; GNU Emacs is distributed in the hope that it will be useful,
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;; but WITHOUT ANY WARRANTY; without even the implied warranty of
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;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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;; GNU General Public License for more details.
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;; You should have received a copy of the GNU General Public License
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;; along with GNU Emacs; see the file COPYING. If not, write to the
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;; Free Software Foundation, Inc., 59 Temple Place - Suite 330,
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;; Boston, MA 02111-1307, USA.
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;;; Commentary:
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;; Spam handling in MH-E.
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;;; Change Log:
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;;; Code:
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(require 'mh-e)
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;; Interactive functions callable from the folder buffer
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;;;###mh-autoload
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(defun mh-junk-blacklist (msg-or-seq)
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"Blacklist MSG-OR-SEQ as spam.
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Default is the displayed message.
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If optional prefix argument is provided, then prompt for the message sequence.
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If variable `transient-mark-mode' is non-nil and the mark is active, then the
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selected region is blacklisted.
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In a program, MSG-OR-SEQ can be a message number, a list of message numbers, a
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region in a cons cell, or a sequence.
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First the appropriate function is called depending on the value of
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`mh-junk-choice'. Then if `mh-junk-mail-folder' is a string then the message is
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refiled to that folder. If nil, the message is deleted.
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To change the spam program being used, customize `mh-junk-program'. Directly
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setting `mh-junk-choice' is not recommended.
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The documentation for the following functions describes what setup is needed
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for the different spam fighting programs:
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- `mh-bogofilter-blacklist'
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- `mh-spamprobe-blacklist'
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- `mh-spamassassin-blacklist'"
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(interactive (list (mh-interactive-msg-or-seq "Blacklist")))
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(let ((blacklist-func (nth 1 (assoc mh-junk-choice mh-junk-function-alist))))
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(unless blacklist-func
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(error "Customize `mh-junk-program' appropriately"))
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(let ((dest (cond ((null mh-junk-mail-folder) nil)
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((equal mh-junk-mail-folder "") "+")
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((eq (aref mh-junk-mail-folder 0) ?+)
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mh-junk-mail-folder)
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((eq (aref mh-junk-mail-folder 0) ?@)
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(concat mh-current-folder "/"
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(substring mh-junk-mail-folder 1)))
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(t (concat "+" mh-junk-mail-folder)))))
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(mh-iterate-on-msg-or-seq msg msg-or-seq
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(funcall (symbol-function blacklist-func) msg)
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(if dest
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(mh-refile-a-msg nil (intern dest))
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(mh-delete-a-msg nil)))
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(mh-next-msg))))
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;;;###mh-autoload
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(defun mh-junk-whitelist (msg-or-seq)
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"Whitelist MSG-OR-SEQ incorrectly classified as spam.
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Default is the displayed message.
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If optional prefix argument is provided, then prompt for the message sequence.
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If variable `transient-mark-mode' is non-nil and the mark is active, then the
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selected region is whitelisted.
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In a program, MSG-OR-SEQ can be a message number, a list of message numbers, a
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region in a cons cell, or a sequence.
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First the appropriate function is called depending on the value of
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`mh-junk-choice'. Then the message is refiled to `mh-inbox'.
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To change the spam program being used, customize `mh-junk-program'. Directly
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setting `mh-junk-choice' is not recommended."
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(interactive (list (mh-interactive-msg-or-seq "Whitelist")))
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(let ((whitelist-func (nth 2 (assoc mh-junk-choice mh-junk-function-alist))))
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(unless whitelist-func
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(error "Customize `mh-junk-program' appropriately"))
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(mh-iterate-on-msg-or-seq msg msg-or-seq
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(funcall (symbol-function whitelist-func) msg)
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(mh-refile-a-msg nil (intern mh-inbox)))
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(mh-next-msg)))
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;; Bogofilter Interface
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(defvar mh-bogofilter-executable (executable-find "bogofilter"))
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(defun mh-bogofilter-blacklist (msg)
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"Classify MSG as spam.
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Tell bogofilter that the message is spam.
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Bogofilter is a Bayesian spam filtering program. Get it from your local
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distribution or from:
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http://bogofilter.sourceforge.net/
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You first need to teach bogofilter. This is done by running
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bogofilter -n < good-message
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on every good message, and
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bogofilter -s < spam-message
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on every spam message. Most Bayesian filters need 1000 to 5000 of each to
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start doing a good job.
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To use bogofilter, add the following .procmailrc recipes which you can also
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find in the bogofilter man page:
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# Bogofilter
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:0fw
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| bogofilter -u -e -p
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:0
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* ^X-Bogosity: Yes, tests=bogofilter
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$SPAM
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Bogofilter continues to feed the messages it classifies back into its
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database. Occasionally it misses, and those messages need to be reclassified.
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MH-E can do this for you. Use \\[mh-junk-blacklist] to reclassify messges in
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your +inbox as spam, and \\[mh-junk-whitelist] to reclassify messages in your
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spambox as good messages."
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(unless mh-bogofilter-executable
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(error "Couldn't find the bogofilter executable"))
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(let ((msg-file (mh-msg-filename msg mh-current-folder)))
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(call-process mh-bogofilter-executable msg-file 0 nil "-Ns")))
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(defun mh-bogofilter-whitelist (msg)
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"Reinstate incorrectly filtered MSG.
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Train bogofilter to think of the message as non-spam."
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(unless mh-bogofilter-executable
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(error "Couldn't find the bogofilter executable"))
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(let ((msg-file (mh-msg-filename msg mh-current-folder)))
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(call-process mh-bogofilter-executable msg-file 0 nil "-Sn")))
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;; Spamprobe Interface
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(defvar mh-spamprobe-executable (executable-find "spamprobe"))
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(defun mh-spamprobe-blacklist (msg)
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"Classify MSG as spam.
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Tell spamprobe that the message is spam.
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Spamprobe is a Bayesian spam filtering program. More info about the program can
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be found at:
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http://spamprobe.sourceforge.net
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Here is a procmail recipe to stores incoming spam mail into the folder +spam
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and good mail in /home/user/Mail/mdrop/mbox. This recipe is provided as an
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example in the spamprobe man page.
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PATH=/bin:/usr/bin:/usr/local/bin
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DEFAULT=/home/user/Mail/mdrop/mbox
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SPAM=/home/user/Mail/spam/.
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# Spamprobe filtering
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:0
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SCORE=| spamprobe receive
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:0 wf
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| formail -I \"X-SpamProbe: $SCORE\"
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:0 a:
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*^X-SpamProbe: SPAM
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$SPAM
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Occasionally some good mail gets misclassified as spam. You can use
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\\[mh-junk-whitelist] to reclassify that as good mail."
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(unless mh-spamprobe-executable
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(error "Couldn't find the spamprobe executable"))
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(let ((msg-file (mh-msg-filename msg mh-current-folder)))
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(call-process mh-spamprobe-executable msg-file 0 nil "spam")))
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(defun mh-spamprobe-whitelist (msg)
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"Reinstate incorrectly filtered MSG.
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Train spamprobe to think of the message as non-spam."
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(unless mh-spamprobe-executable
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(error "Couldn't find the spamprobe executable"))
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(let ((msg-file (mh-msg-filename msg mh-current-folder)))
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(call-process mh-spamprobe-executable msg-file 0 nil "good")))
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;; Spamassassin Interface
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(defvar mh-spamassassin-executable (executable-find "spamassassin"))
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(defvar mh-sa-learn-executable (executable-find "sa-learn"))
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(defun mh-spamassassin-blacklist (msg)
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"Blacklist MSG.
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This is done by sending the message to Razor and by appending the sender to
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~/.spamassassin/user_prefs in a blacklist_from rule. If sa-learn is available,
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the message is also recategorized as spam.
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Spamassassin is an excellent spam filter. For more information, see:
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http://spamassassin.org/.
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I ran \"spamassassin -t\" on every mail message in my archive and ran an
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analysis in Gnumeric to find that the standard deviation of good mail
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scored under 5 (coincidentally, the spamassassin default for \"spam\").
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Furthermore, I observed that there weren't any messages with a score of 8
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or more that were interesting, so I added a couple of points to be
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conservative and send any message with a score of 10 or more down the
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drain. You might want to use a score of 12 or 13 to be really conservative.
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I have found that this really decreases the amount of junk to review.
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Messages with a score of 5-9 are set aside for later review. The major
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weakness of rules-based filters is a plethora of false positives\; I catch one
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or two legitimate messages in here a week, so it is worthwhile to check.
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You might choose to do this analysis yourself to pick a good score for
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deleting spam sight unseen, or you might pick a score out of a hat, or you
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might choose to be very conservative and not delete any messages at all.
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Based upon this discussion, here is what the associated ~/.procmailrc
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entries look like. These rules appear before my list filters so that spam
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sent to mailing lists gets pruned too.
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#
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# Spam
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#
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:0fw
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| spamc
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# Anything with a spam level of 10 or more is junked immediately.
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:0:
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* ^X-Spam-Level: ..........
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/dev/null
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:0
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* ^X-Spam-Status: Yes
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$SPAM
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If you don't use \"spamc\", use \"spamassassin -P -a\".
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A handful of spam does find its way into +inbox. In this case, use
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\\[mh-junk-blacklist] to add a \"blacklist_from\" line to
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~/spamassassin/user_prefs, delete the message, and send the message to the
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Razor, so that others might not see this spam.
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Over time, you see some patterns in the blacklisted addresses and can
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replace several lines with wildcards. For example, it is clear that High
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Speed Media is the biggest bunch of jerks on the Net. Here are some of the
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entries I have for them, and the list continues to grow.
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blacklist_from *@*-hsm-*.com
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blacklist_from *@*182*643*.com
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blacklist_from *@*antarhsm*.com
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blacklist_from *@*h*speed*
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blacklist_from *@*hsm*182*.com
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blacklist_from *@*hsm*643*.com
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blacklist_from *@*hsmridi2983cslt227.com
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blacklist_from *@*list*hsm*.com
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blacklist_from *@h*s*media*
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blacklist_from *@hsmdrct.com
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blacklist_from *@hsmridi2983csltsite.com
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The function `mh-spamassassin-identify-spammers' is provided that shows the
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frequency counts of the host and domain names in your blacklist_from
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entries. This can be helpful when editing the blacklist_from entries.
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In versions of spamassassin (2.50 and on) that support a Bayesian classifier,
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\\[mh-junk-blacklist] uses the sa-learn program to recategorize the message as
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spam. Neither MH-E, nor spamassassin, rebuilds the database after adding
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words, so you will need to run \"sa-learn --rebuild\" periodically. This can
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be done by adding the following to your crontab:
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0 * * * * sa-learn --rebuild > /dev/null 2>&1"
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(unless mh-spamassassin-executable
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(error "Couldn't find the spamassassin executable"))
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(let ((current-folder mh-current-folder)
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(msg-file (mh-msg-filename msg mh-current-folder))
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(sender))
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(save-excursion
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(message "Giving this message the Razor...")
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(mh-truncate-log-buffer)
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(call-process mh-spamassassin-executable msg-file mh-log-buffer nil
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"--report" "--remove-from-whitelist")
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(when mh-sa-learn-executable
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(message "Recategorizing this message as spam...")
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(call-process mh-sa-learn-executable msg-file mh-log-buffer nil
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"--single" "--spam" "--local --no-rebuild"))
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(message "Blacklisting address...")
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(set-buffer (get-buffer-create mh-temp-buffer))
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(erase-buffer)
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(call-process (expand-file-name mh-scan-prog mh-progs) nil t nil
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(format "%s" msg) current-folder
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"-format" "%<(mymbox{from})%|%(addr{from})%>")
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(goto-char (point-min))
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(if (search-forward-regexp "^\\(.+\\)$" nil t)
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(progn
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(setq sender (match-string 0))
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(mh-spamassassin-add-rule "blacklist_from" sender)
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(message "Blacklisting address...done"))
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(message "Blacklisting address...not done (from my address)")))))
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(defun mh-spamassassin-whitelist (msg)
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"Whitelist MSG.
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Add a whitelist_from rule to the ~/.spamassassin/user_prefs file. If sa-learn
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is available, then the message is recategorized as ham."
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(unless mh-spamassassin-executable
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(error "Couldn't find the spamassassin executable"))
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(let ((msg-file (mh-msg-filename msg mh-current-folder))
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(show-buffer (get-buffer mh-show-buffer))
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from)
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(save-excursion
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(set-buffer (get-buffer-create mh-temp-buffer))
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(erase-buffer)
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(message "Removing spamassassin markup from message...")
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(call-process mh-spamassassin-executable msg-file mh-temp-buffer nil
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"--remove-markup")
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(if show-buffer
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(kill-buffer show-buffer))
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(write-file msg-file)
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(when mh-sa-learn-executable
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(message "Recategorizing this message as ham...")
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(call-process mh-sa-learn-executable msg-file mh-temp-buffer nil
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"--single" "--ham" "--local --no-rebuild"))
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(message "Whitelisting address...")
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(setq from (car (ietf-drums-parse-address (mh-get-header-field "From:"))))
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(kill-buffer nil)
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(unless (equal from "")
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(mh-spamassassin-add-rule "whitelist_from" from))
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(message "Whitelisting address...done"))))
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(defun mh-spamassassin-add-rule (rule body)
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"Add a new rule to ~/.spamassassin/user_prefs.
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The name of the rule is RULE and its body is BODY."
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(save-window-excursion
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(let* ((line (format "%s\t%s\n" rule body))
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(case-fold-search t)
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(file (expand-file-name "~/.spamassassin/user_prefs"))
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(buffer-exists (find-buffer-visiting file)))
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(find-file file)
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(if (not (search-forward (format "\n%s" line) nil t))
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(progn
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(goto-char (point-max))
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(insert (if (bolp) "" "\n") line)
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(save-buffer)))
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(if (not buffer-exists)
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(kill-buffer nil)))))
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(defun mh-spamassassin-identify-spammers ()
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"Identifies spammers who are repeat offenders.
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For each blacklist_from entry from the last blank line of
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~/.spamassassin/user_prefs to the end of the file, a list of host and domain
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names along with their frequency counts is displayed. This information can be
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used to replace multiple blacklist_from entries with a single wildcard entry
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such as:
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blacklist_from *@*amazingoffersdirect2u.com"
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(interactive)
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(let* ((file (expand-file-name "~/.spamassassin/user_prefs"))
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(domains (make-hash-table :test 'equal)))
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(find-file file)
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;; Only consider entries between last blank line and end of file.
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(goto-char (1- (point-max)))
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(search-backward-regexp "^$")
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;; Perform frequency count.
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(save-excursion
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(while (search-forward-regexp "^blacklist_from\\s-*\\(.*\\)@\\(.*\\)$"
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nil t)
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(let ((host (match-string 2))
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value)
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;; Remove top-level-domain from hostname.
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(setq host (cdr (reverse (split-string host "\\."))))
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;; Add counts for each host and domain part.
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(while host
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(setq value (gethash (car host) domains))
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(puthash (car host) (1+ (if (not value) 0 value)) domains)
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(setq host (cdr host))))))
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;; Output
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(delete-other-windows)
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(pop-to-buffer (get-buffer-create "*MH-E Spammer Frequencies*"))
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(erase-buffer)
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(maphash '(lambda (key value) ""
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(if (> value 2)
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(insert (format "%s %s\n" key value))))
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domains)
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(sort-numeric-fields 2 (point-min) (point-max))
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(reverse-region (point-min) (point-max))
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(goto-char (point-min))))
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(provide 'mh-junk)
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;;; Local Variables:
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;;; indent-tabs-mode: nil
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;;; sentence-end-double-space: nil
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;;; End:
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;;; arch-tag: 603335f1-77ff-4306-8828-5d3dad51abe1
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;;; mh-junk.el ends here
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