| 1 | # This is the right place to customize your installation of SpamAssassin. |
| 2 | # |
| 3 | # See 'perldoc Mail::SpamAssassin::Conf' for details of what can be |
| 4 | # tweaked. |
| 5 | # |
| 6 | # Only a small subset of options are listed below |
| 7 | # |
| 8 | ########################################################################### |
| 9 | |
| 10 | # Add *****SPAM***** to the Subject header of spam e-mails |
| 11 | # |
| 12 | # rewrite_header Subject *****SPAM***** |
| 13 | |
| 14 | |
| 15 | # Save spam messages as a message/rfc822 MIME attachment instead of |
| 16 | # modifying the original message (0: off, 2: use text/plain instead) |
| 17 | # |
| 18 | # report_safe 1 |
| 19 | report_safe 0 |
| 20 | |
| 21 | # Set which networks or hosts are considered 'trusted' by your mail |
| 22 | # server (i.e. not spammers) |
| 23 | # |
| 24 | # trusted_networks 212.17.35. |
| 25 | |
| 26 | |
| 27 | # Set file-locking method (flock is not safe over NFS, but is faster) |
| 28 | # |
| 29 | # lock_method flock |
| 30 | |
| 31 | |
| 32 | # Set the threshold at which a message is considered spam (default: 5.0) |
| 33 | # |
| 34 | # required_score 5.0 |
| 35 | |
| 36 | |
| 37 | # Use Bayesian classifier (default: 1) |
| 38 | # |
| 39 | use_bayes 1 |
| 40 | |
| 41 | |
| 42 | # Bayesian classifier auto-learning (default: 1) |
| 43 | # |
| 44 | # bayes_auto_learn 1 |
| 45 | |
| 46 | |
| 47 | # Set headers which may provide inappropriate cues to the Bayesian |
| 48 | # classifier |
| 49 | # |
| 50 | # bayes_ignore_header X-Bogosity |
| 51 | # bayes_ignore_header X-Spam-Flag |
| 52 | # bayes_ignore_header X-Spam-Status |
| 53 | |
| 54 | # Location of bayes data |
| 55 | bayes_path /var/local/lib/spamd/bayes |
| 56 | |
| 57 | # Fix bayes permissions |
| 58 | bayes_file_mode 0770 |
| 59 | |
| 60 | # enable txrep |
| 61 | use_txrep 1 |
| 62 | txrep_autolearn 1 |
| 63 | |
| 64 | # Whether to decode non- UTF-8 and non-ASCII textual parts and recode |
| 65 | # them to UTF-8 before the text is given over to rules processing. |
| 66 | # |
| 67 | # normalize_charset 1 |
| 68 | |
| 69 | # Some shortcircuiting, if the plugin is enabled |
| 70 | # |
| 71 | ifplugin Mail::SpamAssassin::Plugin::Shortcircuit |
| 72 | # |
| 73 | # default: strongly-whitelisted mails are *really* whitelisted now, if the |
| 74 | # shortcircuiting plugin is active, causing early exit to save CPU load. |
| 75 | # Uncomment to turn this on |
| 76 | # |
| 77 | # shortcircuit USER_IN_WHITELIST on |
| 78 | # shortcircuit USER_IN_DEF_WHITELIST on |
| 79 | # shortcircuit USER_IN_ALL_SPAM_TO on |
| 80 | # shortcircuit SUBJECT_IN_WHITELIST on |
| 81 | |
| 82 | # the opposite; blacklisted mails can also save CPU |
| 83 | # |
| 84 | # shortcircuit USER_IN_BLACKLIST on |
| 85 | # shortcircuit USER_IN_BLACKLIST_TO on |
| 86 | # shortcircuit SUBJECT_IN_BLACKLIST on |
| 87 | |
| 88 | # if you have taken the time to correctly specify your "trusted_networks", |
| 89 | # this is another good way to save CPU |
| 90 | # |
| 91 | # shortcircuit ALL_TRUSTED on |
| 92 | |
| 93 | # and a well-trained bayes DB can save running rules, too |
| 94 | # |
| 95 | # shortcircuit BAYES_99 spam |
| 96 | # shortcircuit BAYES_00 ham |
| 97 | |
| 98 | endif # Mail::SpamAssassin::Plugin::Shortcircuit |
| 99 | |