文件操作 - local.cf

文件: /usr/share/spamassassin/local.cf

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

# Delle volte non riporta nell'header lo score
add_header all Score _SCORE_
add_header spam Flag _YESNOCAPS_
add_header all Status _YESNO_, score=_SCORE_ required=_REQD_ tests=_TESTS_ autolearn=_AUTOLEARN_ version=_VERSION_
add_header all Level _STARS(*)_
add_header all Checker-Version SpamAssassin _VERSION_ (_SUBVERSION_) on _HOSTNAME_

#   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)
#   Ross 12-07-2021 era "1" messo a "0"
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 4.0

# Ross 22-02-2022 da aggiungere e provare --> https://forums.zimbra.org/viewtopic.php?t=65628
score SPF_FAIL 3.000
score SPF_HELO_FAIL 3.000
score SPF_PASS -0.010

# 02-12-2023 sto cercando di fare il looup su UCEPROTECTL2
# in modo da fare uno score, perchè da postfix fa solo il reject
# ho trovato questi link
# https://www.aligrant.com/web/blog/2018-04-07_adding_custom_rbl_dns_lookups_to_spamassassin
# OPPURE IN https://gist.github.com/sneak/df70af030d4bb88179b9

# header        CUSTOM_LOOKUP_1    eval:check_rbl_txt('dnsrbl','dnsrbl.org.')
# describe      CUSTOM_LOOKUP_1    Entries listed in dnsrbl.org RBL
# score         CUSTOM_LOOKUP_1    2.0

#   Use Bayesian classifier (default: 1)
#
use_bayes 1

#   Bayesian classifier auto-learning (default: 1)
#
bayes_auto_learn 1
bayes_ignore_header X-Bogosity
bayes_ignore_header X-Spam-Flag
bayes_ignore_header X-Spam-Status
# include /usr/share/spamassassin/   QUESTO NON FA PARTIRE IL PROCESSO !!!!! EPPURE E' CONSIGLIATO NELLA CONF. DA QUELLI DEL PANNELLO

#   Set headers which may provide inappropriate cues to the Bayesian
#   classifier
#

#   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

文件操作 - local.cf

文件: /usr/share/spamassassin/local.cf

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