rspamd /

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Rspamd is a complex spam filter that allows to estimate messages by a number of rules including regular expression, statistical analysis and custom services, such as URL black lists. Each message is analysed by rspamd and got a spam score.

According to this spam score and user's settings rspamd recommends to apply an action for this message to MTA, for example to pass, to reject or to add spam header. Rspamd has own unique features among spam filters:

  • event driven architecture allowing to process many messages at a time;
  • flexible syntax of rules allowing to write rules in lua language;
  • a lot of plugins and rules shipped with rspamd distribution;
  • highly optimized mail processing;
  • advanced statistic;

All these features allow rspamd to process messages fast and demonstrate a suitable spam filtering.


Rspamd runs on a Unix like operational systems. FreeBSD users can use ports collection (mail/rspamd) for rspamd installation. Ubuntu users can use launchpad PPA:

Users of other OSes should use sources to build and install rspamd. You can obtain rspamd sources at the bitbucket download page:

There are packages for debian and CentOS/RHEL distribution. Debian users could use debuild utility to create the binary packages of rspamd. CentOS/RHEL users could use spec file and other RedHat specific stuff from centos folder. The users of other systems could try to adopt some package or just to build from sources.

Build requirements

Rspamd requires several 3-rd party software to build and run:

  • libevent - asynchronous event library
  • glib - common purposes library
  • gmime - mime parser
  • lua - extendable scripting language
  • cmake - advanced software build system

You can either install them from sources or (recommended) install using package manager of your system.

Build process

Building of rspamd is simple:

$ cmake .
$ make
# make install

After installation binaries, rules, plugins and a sample configuration will be installed in the target directories (prefixed by /usr/local by default). To start working with rspamd you should do several steps (please note that this is not applicable to an installation based on packages, as such an installation have everything ready for using):

  1. Copy a sample configuration $PREFIX/etc/rspamd.xml.sample to $PREFIX/etc/rspamd.xml
  2. Edit rspamd.xml according to your system (described later).
  3. Make a directory for rspamd pid file and data (/var/run/rspamd by default) and make rspamd user (nobody by default) as the owner of rspamd data directory.
  4. Make a directory for rspamd logs (or setup syslog to accept rspamd log messages).
  5. Install start script to a proper place.
  6. Start rspamd using start script.

If start script is not suitable for your system (now rspamd shipped with start script for FreeBSD, Debian and RedHat like operational systems) you should write a start script suitable for your system.

Further Actions

You can improve quality of rspamd by learning its statistic module. The easiest way to do it is to use rspamc client (you can setup a custom email alias to pipe messages to rspamc)

$ rspamc -P 'q1' -c bayes learn_spam [ file1 [file2 [...]]]
$ rspamc -P 'q1' -c bayes learn_ham [ file1 [file2 [...]]]

Note: you should consider to change default controller's password 'q1' to yours one specified in the controller section of configuration.

Also a system administrator may want to customize rule's weights or actions thresholds. This can be easily done by editing metric section in the configuration file.

For writing new rules you can examine the main rspamd documentation and lua api guide and reference.

Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
Tip: Use ↑ and ↓ arrow keys to navigate and return to view the file.
Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
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