| # This is the right place to customize your installation of SpamAssassin. |
| # |
| # See 'perldoc Mail::SpamAssassin::Conf' for details of what can be |
| # tweaked. |
| # |
| # Only a small subset of options are listed below |
| # |
| ########################################################################### |
| |
| # A 'contact address' users should contact for more info. (replaces |
| # _CONTACTADDRESS_ in the report template) |
| # report_contact youremailaddress@domain.tld |
| |
| |
| # Add *****SPAM***** to the Subject header of spam e-mails |
| # |
| # rewrite_header Subject *****SPAM***** |
| |
| |
| # Save spam messages as a message/rfc822 MIME attachment instead of |
| # modifying the original message (0: off, 2: use text/plain instead) |
| # |
| # report_safe 1 |
| |
| |
| # Set which networks or hosts are considered 'trusted' by your mail |
| # server (i.e. not spammers) |
| # |
| # trusted_networks 212.17.35. |
| |
| |
| # Set file-locking method (flock is not safe over NFS, but is faster) |
| # |
| # lock_method flock |
| |
| |
| # Set the threshold at which a message is considered spam (default: 5.0) |
| # |
| # required_score 5.0 |
| |
| |
| # Use Bayesian classifier (default: 1) |
| # |
| # use_bayes 1 |
| |
| |
| # Bayesian classifier auto-learning (default: 1) |
| # |
| # bayes_auto_learn 1 |
| |
| |
| # Set headers which may provide inappropriate cues to the Bayesian |
| # classifier |
| # |
| # bayes_ignore_header X-Bogosity |
| # bayes_ignore_header X-Spam-Flag |
| # bayes_ignore_header X-Spam-Status |
| |
| |
| # Whether to decode non- UTF-8 and non-ASCII textual parts and recode |
| # them to UTF-8 before the text is given over to rules processing. |
| # |
| # normalize_charset 1 |
| |
| # Textual body scan limit (default: 50000) |
| # |
| # Amount of data per email text/* mimepart, that will be run through body |
| # rules. This enables safer and faster scanning of large messages, |
| # perhaps having very large textual attachments. There should be no need |
| # to change this well tested default. |
| # |
| # body_part_scan_size 50000 |
| |
| # Textual rawbody data scan limit (default: 500000) |
| # |
| # Amount of data per email text/* mimepart, that will be run through |
| # rawbody rules. |
| # |
| # rawbody_part_scan_size 500000 |
| |
| # Some shortcircuiting, if the plugin is enabled |
| # |
| ifplugin Mail::SpamAssassin::Plugin::Shortcircuit |
| # |
| # default: strongly-welcomelisted mails are *really* welcomelisted now, if |
| # the shortcircuiting plugin is active, causing early exit to save CPU |
| # load. Uncomment to turn this on |
| # |
| # SpamAssassin tries hard not to launch DNS queries before priority -100. |
| # If you want to shortcircuit without launching unneeded queries, make |
| # sure such rule priority is below -100. These examples are already: |
| # |
| # shortcircuit USER_IN_WELCOMELIST on |
| # shortcircuit USER_IN_DEF_WELCOMELIST on |
| # shortcircuit USER_IN_ALL_SPAM_TO on |
| |
| # the opposite; blocklisted mails can also save CPU |
| # |
| # shortcircuit USER_IN_BLOCKLIST on |
| # shortcircuit USER_IN_BLOCKLIST_TO on |
| |
| # if you have taken the time to correctly specify your "trusted_networks", |
| # this is another good way to save CPU |
| # |
| # shortcircuit ALL_TRUSTED on |
| |
| # and a well-trained bayes DB can save running rules, too |
| # |
| # shortcircuit BAYES_99 spam |
| # shortcircuit BAYES_00 ham |
| |
| endif # Mail::SpamAssassin::Plugin::Shortcircuit |