Internet Express for Tru64 UNIX Version 6.10 Administration Guide (5900-1418, March 2011)

1. Click on the category name.
The menu is refreshed with the fields relevant to the configuration option chosen.
2. Fill out the form as desired. The menu provides help links for each option.
3. To complete the process, click on Submit Your Changes.
Mailman Scripts
The installation of Mailman sets up a group of crontab entries, host definitions, and alias definitions
that are used by the package. The site-wide password needs to be set using the mmsitepass
script:
# su - mailman $ bin/mmsitepass newpass
The Mailman environment can be started and stopped by the following commands.
To start Mailman:
/usr/internet/mailman/scripts/mailman start
To stop Mailman:
/usr/internet/mailman/scripts/mailman stop
Mailman is started by default at system boot time.
Mailman Log Files
The log information related to subscription, error, post or sendmail can be accessed in the directory
/usr/internet/mailman/log.
Bogofilter Spam Filter
Bogofilter is a Bayesian spam filter. In its normal mode of operation, it takes an email message or
other text on standard input, does a statistical check against lists of good and bad words, and
returns a status code indicating whether or not the message is spam. Bogofilter is designed with
a fast algorithm, uses the Berkeley DB for fast startup and lookups, is coded directly in C, and is
tuned for speed, so it can be used for production by sites that process a lot of mail.
The bogofilter related commands are part of the sendmail setld subset (IAESMTP). If this subset is
installed, the various bogofilter user level commands (bogofilter, bogolexer, bogoupgrade,
and bogoutil) have been installed. The commands are located in the /usr/local/bin directory.
bogofilter(1) - Fast Bayesian spam filter
bogolexer(1) - Utility program for separating email messages into tokens
bogoupgrade(1) - Upgrades bogofilter database to current version
bogoutil(1) - Dumps, loads, and maintains bogofilter database files
Training Bogofilter
Bogofilter must be trained before it can be used as a spam filter mechanism. Users must start by
saving their delivered e-mail into two groups: spam e-mail messages and valid e-mail messages.
The saved group of spam messages is first fed to bogofilter for registration. As each message is
read, bogofilter breaks down the message into word tokens, and uses this input to score and then
populate its database, marking each item as spam related. The following command is used to
register a set of spam messages collected in mbox:
$ bogofilter -s -M mbox # spam messages
Second, the non-spam message group is fed to bogofilter. Again, each message is broken down
into word tokens, scored and recorded in the bogofilter database as non-spam. The following
command is used to register a set of non-spam messages collected in mbox:
$ bogofilter -n -M mbox # non-spam messages
128 Mail Delivery Administration