spamassassin/user_prefs

   1 # SpamAssassin user preferences file.  See 'perldoc Mail::SpamAssassin::Conf'
   2 # for details of what can be tweaked.
   3 ###########################################################################
   4
   5 # How many points before a mail is considered spam.
   6 # required_score                5
   7
   8 # Whitelist and blacklist addresses are now file-glob-style patterns, so
   9 # "friend@somewhere.com", "*@isp.com", or "*.domain.net" will all work.
  10 # whitelist_from        someone@somewhere.com
  11
  12 # Add your own customised scores for some tests below.  The default scores are
  13 # read from the installed spamassassin rules files, but you can override them
  14 # here.  To see the list of tests and their default scores, go to
  15 # http://spamassassin.apache.org/tests.html .
  16 #
  17 # score SYMBOLIC_TEST_NAME n.nn
  18
  19 # Speakers of Asian languages, like Chinese, Japanese and Korean, will almost
  20 # definitely want to uncomment the following lines.  They will switch off some
  21 # rules that detect 8-bit characters, which commonly trigger on mails using CJK
  22 # character sets, or that assume a western-style charset is in use.
  23 #
  24 # score HTML_COMMENT_8BITS      0
  25 # score UPPERCASE_25_50         0
  26 # score UPPERCASE_50_75         0
  27 # score UPPERCASE_75_100        0
  28 # score OBSCURED_EMAIL          0
  29
  30 # Speakers of any language that uses non-English, accented characters may wish
  31 # to uncomment the following lines.   They turn off rules that fire on
  32 # misformatted messages generated by common mail apps in contravention of the
  33 # email RFCs.
  34
  35 # score SUBJ_ILLEGAL_CHARS      0
  36
  37 use_auto_whitelist 0
  38
  39 focr_timeout 30
  40
  41 report_safe 0
  42 report_safe_copy_headers X-CRM114-Status X-CRM114-Notice
  43 report_safe_copy_headers X-Greylist
  44
  45 rewrite_header SUBJECT
  46
  47 #bayes_path ~/.var/spamassassin/bayes
  48 bayes_auto_learn 0
  49 bayes_ignore_header X-Original-To
  50 bayes_ignore_header X-EqDomain
  51 bayes_ignore_header X-EqTo
  52 bayes_ignore_header X-Been-There
  53 bayes_ignore_header X-Delivered-To
  54 bayes_ignore_header X-Greylist
  55 bayes_ignore_header X-Virus-Scanned
  56 bayes_ignore_header X-Virus-Status
  57 bayes_ignore_header X-CRM114-Status
  58 bayes_ignore_header X-CRM114-CacheID
  59 bayes_ignore_header X-CRM114-Notice
  60 bayes_ignore_header X-CRM114-Version
  61 bayes_ignore_header X-Spam-Relays-External
  62 bayes_ignore_header X-Spam-Relays-Internal
  63 bayes_ignore_header X-Spam-Relays-Trusted
  64 bayes_ignore_header X-Spam-Relays-Untrusted
  65 bayes_ignore_header X-Spam-Status
  66 bayes_ignore_header X-Spam-Bayes
  67 bayes_ignore_header X-Spam-Level
  68 bayes_ignore_header X-Spam
  69 bayes_ignore_header X-Postponed
  70 bayes_ignore_header X-Justme
  71 bayes_ignore_header X-Tickle
  72 bayes_ignore_header X-Delayed
  73 bayes_ignore_header X-Resubmitted
  74 bayes_ignore_header X-Trained-As
  75 bayes_learn_to_journal 1
  76 #bayes_ignore_from add@ress.com
  77
  78 add_header all Status _YESNO_, score=_SCORE_/_REQD_ tests=_TESTS_ autolearn=_AUTOLEARN_
  79 add_header all Bayes score=_BAYES_ sum=_TOKENSUMMARY_ ham=_HAMMYTOKENS_ spam=_SPAMMYTOKENS_
  80 add_header all Level _STARS(-)_
  81 #add_header all Relays-Trusted _RELAYSTRUSTED_
  82 add_header all Relays-Untrusted _RELAYSUNTRUSTED_
  83 #add_header all Relays-Internal _RELAYSINTERNAL_
  84 #add_header all Relays-External _RELAYSEXTERNAL_
  85
  86 # the local host
  87 #trusted_networks 127.
  88 # madduck.net
  89 trusted_networks 213.203.238.82 193.242.105.96 193.242.105.183
  90 # debian: gluck master murphy spohr rietz liszt
  91 trusted_networks 192.25.206.10 70.103.162.29 70.103.162.31 192.25.206.33 140.211.166.43 82.195.75.100
  92 # debian: alioth
  93 trusted_networks 217.196.43.134
  94 # ifi: bela miraculix nicolai sergei
  95 trusted_networks 130.60.156.10 130.60.156.214 130.60.155.10 130.60.155.11
  96 # fortytwo
  97 trusted_networks 193.138.215.60
  98 # aerasec: all of MNET-AERASEC
  99 trusted_networks 212.18.21.160/26
 100 # swat: osprey.sccs, heron.sccs
 101 trusted_networks 130.58.218.6 130.58.218.10
 102 # acm
 103 trusted_networks 63.118.7.109
 104 # skynet: calculon gir
 105 trusted_networks 193.1.99.88 193.1.99.77
 106 # ul: marshal4
 107 trusted_networks 193.1.100.137
 108 # ieee: ruebert
 109 trusted_networks 140.98.193.10
 110 # vger.kernel.org
 111 trusted_networks 209.132.176.167
 112
 113 whitelist_from *master@*.madduck.net
 114 whitelist_from *master@madduck.net
 115 whitelist_from logcheck@*.madduck.net
 116 whitelist_from root@*.madduck.net
 117 whitelist_from root@madduck.net
 118 whitelist_from *-owner@lists.madduck.net
 119 whitelist_to *-owner@lists.madduck.net
 120 whitelist_from *-owner@lists.ailab.ch
 121 whitelist_to *-owner@lists.ailab.ch
 122
 123 ok_locales en
 124 ok_languages en de
 125
 126 header MADDUCK_IN_REFERENCES References =~ /madduck\.net/
 127 tflags MADDUCK_IN_REFERENCES nice
 128 describe MADDUCK_IN_REFERENCES madduck.net appears in References header
 129 score MADDUCK_IN_REFERENCES -100.0
 130
 131 # more obfuscated drugs
 132 # see http://issues.apache.org/SpamAssassin/show_bug.cgi?id=4875
 133 replace_tag WS ( [a-z] )
 134 body __L_rp_drug_ws1 /(?!xanax)X<WS>A<WS>N<WS>A<WS>X/i
 135 body __L_rp_drug_ws2 /(?!ambien)A<WS>M<WS>B<WS>I<WS>E<WS>N/i
 136 body __L_rp_drug_ws3 /(?!viagra)V<WS>I<WS>A<WS>G<WS>R<WS>A/i
 137 body __L_rp_drug_ws4 /(?!soma)S<WS>O<WS>M<WS>A/i
 138 body __L_rp_drug_ws5 /(?!cialis)C<WS>I<WS>A<WS>L<WS>I<WS>S/i
 139 body __L_rp_drug_ws6 /(?!valium)V<WS>A<WS>L<WS>I<WS>U<WS>M/i
 140 body __L_rp_drug_ws7 /(?!meridia)M<WS>E<WS>R<WS>I<WS>D<WS>I<WS>A/i
 141 replace_rules __L_rp_drug_ws1 __L_rp_drug_ws2 __L_rp_drug_ws3 __L_rp_drug_ws4 __L_rp_drug_ws5 __L_rp_drug_ws6 __L_rp_drug_ws7
 142 meta L_drug_ws_obfu (__L_rp_drug_ws1 + __L_rp_drug_ws2 + __L_rp_drug_ws3 + __L_rp_drug_ws4 + __L_rp_drug_ws5 + __L_rp_drug_ws6 + __L_rp_drug_ws7) > 3
 143 score L_drug_ws_obfu 3
 144
 145 # http://marc.info/?t=118544884300001&r=1&w=2
 146 score BAYES_60 0.0001 0.0001 1.5 1.5
 147 score BAYES_80 0.0001 0.0001 2.5 2.5
 148 score BAYES_95 0.0001 0.0001 4.0 4.0
 149 score BAYES_99 0.0001 0.0001 5.0 5.0
 150
 151 # VBounce
 152 whitelist_bounce_relays clegg.madduck.net seamus.madduck.net