# 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
#
###########################################################################

#   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 0


#   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

bayes_path /var/spool/spamassassin/bayes
bayes_file_mode 0777

#   Some shortcircuiting, if the plugin is enabled
# 
ifplugin Mail::SpamAssassin::Plugin::Shortcircuit
#
#   default: strongly-whitelisted mails are *really* whitelisted now, if the
#   shortcircuiting plugin is active, causing early exit to save CPU load.
#   Uncomment to turn this on
#
# shortcircuit USER_IN_WHITELIST       on
# shortcircuit USER_IN_DEF_WHITELIST   on
# shortcircuit USER_IN_ALL_SPAM_TO     on
# shortcircuit SUBJECT_IN_WHITELIST    on

#   the opposite; blacklisted mails can also save CPU
#
# shortcircuit USER_IN_BLACKLIST       on
# shortcircuit USER_IN_BLACKLIST_TO    on
# shortcircuit SUBJECT_IN_BLACKLIST    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

# AWL : AutoWhitelist
use_auto_whitelist 1
auto_whitelist_path /var/spool/spamassassin/auto_whitelist
auto_whitelist_file_mode 0666

# LANG TESTS
ok_languages en fr es it
ok_locales en fr es it

score BODY_8BITS 1.500
score CHARSET_FARAWAY 3.200
score CHARSET_FARAWAY_HEADER 3.200
score HTML_CHARSET_FARAWAY 0.500
score MIME_CHARSET_FARAWAY 2.450
score UNWANTED_LANGUAGE_BODY 2.800

# DCC
# use_dcc 1 => un plugin maintenant...
score DCC_CHECK 2.9

# RAZOR : http://razor.sourceforge.net
use_razor2 1
razor_timeout 10
score RAZOR2_CHECK 2.9
score RAZOR2_CF_RANGE_51_100 1.3

# pyzor : http://pyzor.sourceforge.net/
use_pyzor 0

# RBL (Realtime Blackhole List)
skip_rbl_checks 0
score RCVD_IN_BL_SPAMCOP_NET 3

# misc
score HELO_DYNAMIC_IPADDR 0.3
score BIZ_TLD 0.1
score PRIORITY_NO_NAME 0.2

# disable HTML tests

score HTML_MESSAGE 0
score HTML_00_10 0
score HTML_10_20 0
score HTML_20_30 0
score HTML_30_40 0
score HTML_40_50 0
score HTML_50_60 0
score HTML_60_70 0
score HTML_70_80 0
score HTML_80_90 0
score HTML_90_100 0
#score HTML_COMMENT_8BITS 0
score UPPERCASE_25_50 0
score UPPERCASE_50_75 0
score UPPERCASE_75_100 0
score MIME_HTML_ONLY 0.1
# From http://maxime.ritter.eu.org/Spam/user_prefs
# Trop de faux negatifs avec BAYES_(0|1|2|3|4)*
score BAYES_00                       0 0 -0.01 -0.01
score BAYES_01                       0 0 -0.01 -0.01
score BAYES_10                       0 0 -0.01 -0.01
score BAYES_20                       0 0 -0.01 -0.01
score BAYES_30                       0 0 -0.01 -0.01
score BAYES_40                       0 0 -0.01 -0.01
score BAYES_44                       0 0 -0.01 -0.01
score BAYES_50                       0 0 0.1 0.1
score BAYES_56                       0 0 0.5 0.5
score BAYES_60                       0 0 1.0 1.0
score BAYES_70                       0 0 2.5 2.5
score BAYES_80                       0 0 3.5 3.5
score BAYES_90                       0 0 4.5 4.5
score BAYES_99                       0 0 8.0 8.0

score RCVD_IN_SORBS_DUL 0.3
score SUBJ_ILLEGAL_CHARS      0
score RCVD_IN_NJABL_DUL 0.3

score ADDRESS_IN_SUBJECT 0.1

score HELO_LH_HOME 1.0

internal_networks 192.168.XXX/24
#score ALL_TRUSTED 0.3
score HELO_DYNAMIC_IPADDR 0.3

score FORGED_MUA_OUTLOOK 0.5