Difference between revisions of "Spamassassin"
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* SPF/DKIM: check is the ''from'' email address that you see is legitimate | * SPF/DKIM: check is the ''from'' email address that you see is legitimate | ||
* Static Rules: a lot of manually crafted rules by SpamAssassin contributors | * Static Rules: a lot of manually crafted rules by SpamAssassin contributors | ||
+ | |||
+ | == Prerequisites == | ||
+ | This article is part of the [[Emails/Complete|emails]] series. It is assumed that you already covered [[Dovecot]] and [[Exim]]. | ||
+ | |||
+ | Optional prerequisites: | ||
+ | * [[nftables]] is used as a firewall here. You can however replace it by any firewall you use. | ||
+ | * [[Munin]] allows you to monitor the spam/ham ratio of your installation. | ||
== Install == | == Install == | ||
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==== Firewall ==== | ==== Firewall ==== | ||
− | {{nftables/config|category=Pyzor (Spamassassin)|tcp_port_in=|udp_port_in=|tcp_port_out=24441|udp_port_out=24441|user_out=}} | + | {{nftables/config|category=Pyzor (Spamassassin)|tcp_port_in=|udp_port_in=|tcp_port_out=24441|udp_port_out=24441|user_out=}} |
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=== Razor === | === Razor === |
Latest revision as of 06:22, 3 May 2018
SpamAssassin is a spam detection software intended to be run on your mail server. It rank mail using several criteria criteria that can be put in the following families
- DNS Whitelist/Blacklist: does the server that sent you the email sent spam before?
- URI Blacklist: does the body of the message contain links to some bad sites?
- Distributed Spam Hashes: does someone reported the same message as spam already?
- Bayesian Filter: compare email to your past spam and ham
- SPF/DKIM: check is the from email address that you see is legitimate
- Static Rules: a lot of manually crafted rules by SpamAssassin contributors
Prerequisites
This article is part of the emails series. It is assumed that you already covered Dovecot and Exim.
Optional prerequisites:
- nftables is used as a firewall here. You can however replace it by any firewall you use.
- Munin allows you to monitor the spam/ham ratio of your installation.
Install
$ sudo apt install spamassassin
Configure
After changing config in /etc/spamassassin/
, don't forget tell SpamAssassin to reload config
$ sudo service spamassassin reload
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.
$ sudo -u vmail sa-learn --spam --progress --dir /var/maildir/<username>/Maildir/.Spam/cur/
$ sudo -u vmail sa-learn --ham --progress --dir /var/maildir/<username>/Maildir/cur/
To check the status of the database, you can run
$ sudo -u vmail sa-learn --dump magic
Pyzor
Install
$ sudo apt install pyzor
Firewall
Assuming that you configured nftables as described, you can edit file /etc/nftables/main_config.conf
and add
# Pyzor (Spamassassin)
add element inet main tcp_port_out { 24441 }
add element inet main udp_port_out { 24441 }
and activate it using
$ sudo /etc/nftables/reload_main.conf
Razor
Install
$ sudo apt install razor
Firewall
Assuming that you configured nftables as described, you can edit file /etc/nftables/main_config.conf
and add
# Razor (Spamassassin)
add element inet main tcp_port_out { 2703 }
and activate it using
$ sudo /etc/nftables/reload_main.conf
Configure
$ sudo -u vmail razor-admin -create
$ sudo -u vmail razor-admin -register
Register successful. Identity stored in /var/maildir/.razor/identity-xo4OkrHieL
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
# The status header is used by other programs to read the spam status. Don't modify the part before tests=...
add_header all Status _YESNO_, hits=_HITS_ required=_REQD_ tests=_TESTSSCORES(,)_ autolearn=_AUTOLEARN_
add_header all Details version=_VERSION_ _REPORT_
add_header all Pyzor _PYZOR_
Configure service
Edit file /etc/default/spamassassin
and change the following line
OPTIONS="--create-prefs --max-children 5 -u vmail --listen /run/spamd.socket"
Create file /etc/spamassassin/spamc.conf
with the following content
--socket /run/spamd.socket
It's now time to enable the Spamassassin service
$ sudo systemctl enable spamassassin.service
$ sudo systemctl start spamassassin.service
Cron
Spamassassin authors publish updated rules on a daily basis. To stay up-to-date, edit file /etc/default/spamassassin
and set option
CRON=1
Integrate with exim
$ sudo 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
#----------------------------------------------------------------------
Other parameter that I change
SApermreject: 10.0
You can now restart exim to take you settings into account
$ sudo systemctl restart exim4.service
Integrate with dovecot
SpamAssassin is able to learn from it's mistakes. By using the plugin dovecot-antispam, we train SpamAssassin by just moving email in or out of the spam folder.
First install it with this command
$ sudo apt install dovecot-antispam
Then 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
}
Create file /etc/dovecot/conf.d/90-antispam.conf
plugin {
##################
# GENERIC OPTIONS
# Debugging options
# Uncomment to get the desired debugging behaviour.
# Note that in some cases stderr debugging will not be as
# verbose as syslog debugging due to internal limitations.
#
# antispam_debug_target = syslog
# antispam_debug_target = stderr
# antispam_verbose_debug = 1
antispam_backend = pipe
antispam_trash_pattern_ignorecase = trash;Deleted Items;Deleted Messages
antispam_spam_pattern_ignorecase = Spam;Junk
###########################
# BACKEND SPECIFIC OPTIONS
#
#=====================
# pipe plugin
#
# temporary directory
antispam_pipe_tmpdir = /tmp
# spam/not-spam argument (default unset which will is not what you want)
antispam_pipe_program_spam_arg = -r
antispam_pipe_program_notspam_arg = -k
# binary to pipe mail to
antispam_pipe_program = /usr/bin/spamassassin
}
And finally, reload Dovecot
$ sudo systemctl restart dovecot.service
Integrate in Munin
There is a plugin in Munin to get statistics on the ham/spam values from Spamassassin. To activate it, run the following command
$ sudo ln -s /usr/share/munin/plugins/spamstats /etc/munin/plugins/
Then create file /etc/munin/plugin-conf.d/spamstats
[spamstats]
group adm
env.logfile mail.log
Finally, restart the Munin node
$ sudo systemctl restart munin-node.service
After 5 minutes, you should see your new graph in Munin.