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-Original-To-Saved #
  51 bayes_ignore_header X-EqDomain
  52 bayes_ignore_header X-EqTo
  53 bayes_ignore_header X-Been-There
  54 bayes_ignore_header X-Delivered-To
  55 bayes_ignore_header X-Greylist
  56 bayes_ignore_header X-Virus-Scanned
  57 bayes_ignore_header X-Virus-Status
  58 bayes_ignore_header X-CRM114-Status
  59 bayes_ignore_header X-CRM114-CacheID
  60 bayes_ignore_header X-CRM114-Notice
  61 bayes_ignore_header X-CRM114-Version
  62 #bayes_ignore_header X-Sender-IP #
  63 #bayes_ignore_header X-CIDR #
  64 #bayes_ignore_header X-ASN #
  65 bayes_ignore_header X-Spam-Relays-External
  66 bayes_ignore_header X-Spam-Relays-Internal
  67 bayes_ignore_header X-Spam-Relays-Trusted
  68 bayes_ignore_header X-Spam-Relays-Untrusted
  69 bayes_ignore_header X-Spam-Status
  70 bayes_ignore_header X-Spam-Bayes
  71 bayes_ignore_header X-Spam-Level
  72 bayes_ignore_header X-Spam
  73 bayes_ignore_header X-Justme
  74 bayes_ignore_header X-Trained-As
  75 bayes_ignore_from add@ress.com #
  76 bayes_learn_to_journal 1
  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 130.60.75.72 82.197.162.59 213.203.238.82
  90 # debian: gluck master murphy spohr rietz
  91 trusted_networks 192.25.206.10 70.103.162.29 70.103.162.31 192.25.206.33 140.211.166.43
  92 # debian: alioth
  93 trusted_networks 217.196.43.134
  94 # ifi: bela miraculix
  95 trusted_networks 130.60.156.10 130.60.156.214
  96 # ailab: gaia
  97 trusted_networks 130.60.75.60
  98 # fortytwo
  99 trusted_networks 193.138.215.60
 100 # aerasec: all of MNET-AERASEC
 101 trusted_networks 212.18.21.160/26
 102 # swat: osprey.sccs
 103 trusted_networks 130.58.218.6
 104 # acm
 105 trusted_networks 63.118.7.109
 106 # skynet: calculon gir
 107 trusted_networks 193.1.99.88 193.1.99.77
 108 # ul: marshal4
 109 trusted_networks 193.1.100.137
 110 # ieee: ruebert
 111 trusted_networks 140.98.193.10
 112 # vger.kernel.org
 113 trusted_networks 209.132.176.167
 114
 115 whitelist_from *master@*.madduck.net
 116 whitelist_from *master@madduck.net
 117 whitelist_from logcheck@*.madduck.net
 118 whitelist_from root@*.madduck.net
 119 whitelist_from root@madduck.net
 120 whitelist_from *-owner@lists.madduck.net
 121 whitelist_to *-owner@lists.madduck.net
 122 whitelist_from *-owner@lists.ailab.ch
 123 whitelist_to *-owner@lists.ailab.ch
 124
 125 ok_locales en
 126 ok_languages en de
 127
 128 header MADDUCK_IN_REFERENCES References =~ /madduck\.net/
 129 tflags MADDUCK_IN_REFERENCES nice
 130 describe MADDUCK_IN_REFERENCES madduck.net appears in References header
 131 score MADDUCK_IN_REFERENCES -100.0
 132
 133 # more obfuscated drugs
 134 # see http://issues.apache.org/SpamAssassin/show_bug.cgi?id=4875
 135 replace_tag WS ( [a-z] )
 136 body __L_rp_drug_ws1 /(?!xanax)X<WS>A<WS>N<WS>A<WS>X/i
 137 body __L_rp_drug_ws2 /(?!ambien)A<WS>M<WS>B<WS>I<WS>E<WS>N/i
 138 body __L_rp_drug_ws3 /(?!viagra)V<WS>I<WS>A<WS>G<WS>R<WS>A/i
 139 body __L_rp_drug_ws4 /(?!soma)S<WS>O<WS>M<WS>A/i
 140 body __L_rp_drug_ws5 /(?!cialis)C<WS>I<WS>A<WS>L<WS>I<WS>S/i
 141 body __L_rp_drug_ws6 /(?!valium)V<WS>A<WS>L<WS>I<WS>U<WS>M/i
 142 body __L_rp_drug_ws7 /(?!meridia)M<WS>E<WS>R<WS>I<WS>D<WS>I<WS>A/i
 143 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
 144 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
 145 score L_drug_ws_obfu 3
 146
 147 # http://marc.info/?t=118544884300001&r=1&w=2
 148 score BAYES_60 0.0001 0.0001 1.5 1.5
 149 score BAYES_80 0.0001 0.0001 2.5 2.5
 150 score BAYES_95 0.0001 0.0001 4.0 4.0
 151 score BAYES_99 0.0001 0.0001 5.0 5.0