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mail Howto SpamAssassin

SpamAssassin est un filtre pour évaluer si des emails s’ils sont des spams ou pas.

Installation

Son intégration demande seulement l’installation des paquets suivants :

# apt install spamassassin spamc

Configuration

required_score   5
report_safe     0
rewrite_header Subject [SPAM]
add_header all Report _REPORT_

# filtre bayesien
# mkdir -p /var/spool/spam
use_bayes       1
bayes_auto_learn 1
bayes_path /var/spool/spam/bayes
bayes_file_mode 0777

# AWL : AutoWhitelist
# mkdir -p /var/spool/spam
loadplugin Mail::SpamAssassin::Plugin::AWL
use_auto_whitelist 1
auto_whitelist_path /var/spool/spam/auto_whitelist
auto_whitelist_file_mode 0666

# LANG TESTS
Mail::SpamAssassin::Plugin::TextCat
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
trusted_networks 31.170.8.33 31.170.8.15 62.212.111.216 88.179.18.233 85.118.59.50
#score ALL_TRUSTED 0.3
score HELO_DYNAMIC_IPADDR 0.3

score FORGED_MUA_OUTLOOK 0.5

# Eudora sucks
score EXTRA_MPART_TYPE 0.1
score MIME_BOUND_EQ_REL 0.1
score MIME_QP_LONG_LINE 0.1

# SMTP senders *have* dynamic IP addresses
# A.B.C.D.dnsbl.sorbs.net -> 127.0.0.10
score RCVD_IN_DYNABLOCK 0
score HELO_DYNAMIC_IPADDR 0.3
score RCVD_IN_SORBS 0.1
score RCVD_IN_PBL 0.1
score RCVD_IN_SORBS_DUL 0

# old bug...
score FH_DATE_PAST_20XX 0.0

AWL : AutoWhiteList

SpamAssassin a un puissant outil d’AWL si l’on définit bien une liste d’emails / expéditeurs avant de l’initialiser. Néanmoins, il faut le maintenir.

Pour lister sa whitelist (couple email / 2 1er octets de l’IP)

# sa-awl /var/spool/spam/auto_whitelist

            AVG  (TOTSCORE/COUNT)  --  EMAIL|ip=IPBASE

AVG est le score moyen
TOTSCORE est le score total des mails
COUNT est le nombre de mails

Pour supprimer les entrées “vues” moins de 2 fois :

# sa-awl --clean --min 2 /var/spool/spam/auto_whitelist

Pour supprimer des entrées particulières :

# spamassassin --remove-addr-from-whitelist=foo@bar
SpamAssassin auto-whitelist: removing address: foo@bar

Administration

Whitelist / blacklist

Par utilisateur (~/.spamassassin/user_prefs) ou global :

whitelist_from jdoe@example.org
whitelist_from *@example.com
blacklist_from bad@example.net