# This is the right place to customize your installation of SpamAssassin. report_safe 0 lock_method flock # Bayes-related operations use_bayes 1 use_bayes_rules 1 bayes_auto_learn 1 bayes_auto_expire 1 bayes_path /var/lib/amavis/.spamassassin/bayes bayes_file_mode 0777 # External network tests dns_available yes skip_rbl_checks 0 use_razor2 1 use_pyzor 1 # Use URIBL (http://www.uribl.com/about.shtml) urirhssub URIBL_BLACK multi.uribl.com. A 2 body URIBL_BLACK eval:check_uridnsbl('URIBL_BLACK') describe URIBL_BLACK Contains an URL listed in the URIBL blacklist tflags URIBL_BLACK net score URIBL_BLACK 3.0 urirhssub URIBL_GREY multi.uribl.com. A 4 body URIBL_GREY eval:check_uridnsbl('URIBL_GREY') describe URIBL_GREY Contains an URL listed in the URIBL greylist tflags URIBL_GREY net score URIBL_GREY 0.25 # Use SURBL (http://www.surbl.org/) urirhssub URIBL_JP_SURBL multi.surbl.org. A 64 body URIBL_JP_SURBL eval:check_uridnsbl('URIBL_JP_SURBL') describe URIBL_JP_SURBL Has URI in JP at http://www.surbl.org/lists.html tflags URIBL_JP_SURBL net score URIBL_JP_SURBL 3.0 score SPF_FAIL 10.000 score SPF_HELO_FAIL 10.000 score RAZOR2_CHECK 2.500 score RAZOR2_CF_RANGE_51_100 3.500 # # See 'perldoc Mail::SpamAssassin::Conf' for details of what can be # tweaked. # # Only a small subset of options are listed below # ########################################################################### # 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