Difference between revisions of "Spamassassin"
(Change user running spamassassin to vmail) |
(Add header reporting) |
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− | == Bayesian filter == | + | == Configure == |
+ | |||
+ | After changing config in <code>/etc/spamassassin/</code>, don't forget tell SpamAssassin to reload config | ||
+ | <syntaxhighlight lang="console"> | ||
+ | # service spamassassin reload | ||
+ | </syntaxhighlight> | ||
+ | |||
+ | === Report Headers === | ||
+ | |||
+ | SpamAssassin can had headers in the messages it scan. It will help you investigate things in case you get false-positive are false-negative. | ||
+ | |||
+ | Add the following lines to <code>/etc/spamassassin/local.cf</code> | ||
+ | <syntaxhighlight lang="shell"> | ||
+ | add_header all Status _YESNO_, hits=_HITS_ tests=_TESTSSCORES(,)_ autolearn=_AUTOLEARN_ | ||
+ | add_header all Details required=_REQD_ version=_VERSION_ _REPORT_ | ||
+ | </syntaxhighlight> | ||
+ | |||
+ | === Bayesian filter === | ||
To reach a good efficiency, SpamAssassin Bayesian filter need to be trained with both spam and ham messages. You can use your actual mailbox for that but note the following points: | To reach a good efficiency, SpamAssassin Bayesian filter need to be trained with both spam and ham messages. You can use your actual mailbox for that but note the following points: |
Revision as of 07:56, 8 March 2016
Warning: | This page is a work in progress and is not completed. Important informations might be missing or wrong. |
Install
# apt install spamassassin
Configure
After changing config in /etc/spamassassin/
, don't forget tell SpamAssassin to reload config
# service spamassassin reload
Report Headers
SpamAssassin can had headers in the messages it scan. It will help you investigate things in case you get false-positive are false-negative.
Add the following lines to /etc/spamassassin/local.cf
add_header all Status _YESNO_, hits=_HITS_ tests=_TESTSSCORES(,)_ autolearn=_AUTOLEARN_
add_header all Details required=_REQD_ version=_VERSION_ _REPORT_
Bayesian filter
To reach a good efficiency, SpamAssassin Bayesian filter need to be trained with both spam and ham messages. You can use your actual mailbox for that but note the following points:
- Be sure that the folders you use for training contain only spam or ham. If a folder contain a mix of them, SpamAssassin will learn wrong info and produce bad quality results
- To be effective you need between 1000 and 5000 messages each of both spam and ham.
- You need to have more ham than spam to train. Otherwise, SpamAssassin might become biased toward spam.
# su vmail -s /bin/sh -c "sa-learn --spam --progress --dir /var/maildir/<username>/Maildir/.Spam/cur/"
# su vmail -s /bin/sh -c "sa-learn --spam --progress --dir /var/maildir/<username>/Maildir/cur/"
To check the status of the database, you can run
# su vmail -s /bin/sh -c "sa-learn --dump magic"
Integrate with exim
# apt install sa-exim
Configuration is stored in /etc/exim4/sa-exim.conf
.
Edit the following setting
SAspamcUser: vmail
By defauld sa-exim is disabled. Remove the following lines to enable it
#----------------------------------------------------------------------
# Remove or comment out the following line to enable sa-exim
SAEximRunCond: 0
#----------------------------------------------------------------------
You can now restart exim to take you settings into account
# service exim4 restart
Integrate with dovecot
# apt install dovecot-antispam
In file /etc/dovecot/conf.d/20-imap.conf
, modify the option mail_plugins and add antispam to the list
protocol imap {
# Space separated list of plugins to load (default is global mail_plugins).
mail_plugins = $mail_plugins antispam
}