![SpamAssassin 不会标记任何电子邮件;电子邮件中没有垃圾邮件标头](https://linux22.com/image/757893/SpamAssassin%20%E4%B8%8D%E4%BC%9A%E6%A0%87%E8%AE%B0%E4%BB%BB%E4%BD%95%E7%94%B5%E5%AD%90%E9%82%AE%E4%BB%B6%EF%BC%9B%E7%94%B5%E5%AD%90%E9%82%AE%E4%BB%B6%E4%B8%AD%E6%B2%A1%E6%9C%89%E5%9E%83%E5%9C%BE%E9%82%AE%E4%BB%B6%E6%A0%87%E5%A4%B4.png)
我们在 Postfix 和 Spamassassin 之间使用 Amavis。包含 GTUBE 的电子邮件可以顺利通过 Amavis,尽管它们应该标有相应的标题。
Sep 24 20:11:09 mail amavis[955]: (00955-01) Passed CLEAN {AcceptedInbound}, AM.PDP-SOCK [2a00:1450:4864:20::430] [2a00:1450:4864:20::430] /AM.PDP <[email protected]> -> <[email protected]>,<[email protected]>,<[email protected]>, (2a00:1450:4864:20::430), Queue-ID: 35776C1517, Message-ID: <CALp=EQ6vmtqzDxWCMpAbLBTLRk+cv-MAryrkJD4=sfhJLLC5kw@mail.gmail.com>, mail_id: u3_KZ3ChAtSu, b: eXTUveck7, Hits: -, size: 2694, Subject: "Bitte", From: <[email protected]> (dkim:AUTHOR), helo=mail-wr1-x430.google.com, [email protected], dkim_sd=20161025:gmail.com, 287 ms
这是我的 SpamAssassin 配置,位于 /usr/share/spamassassin/local.cf
# 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 1
# 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 1.0
# 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
# Whether to decode non- UTF-8 and non-ASCII textual parts and recode
# them to UTF-8 before the text is given over to rules processing.
#
# normalize_charset 1
# Textual body scan limit (default: 50000)
#
# Amount of data per email text/* mimepart, that will be run through body
# rules. This enables safer and faster scanning of large messages,
# perhaps having very large textual attachments. There should be no need
# to change this well tested default.
#
# body_part_scan_size 50000
# Textual rawbody data scan limit (default: 500000)
#
# Amount of data per email text/* mimepart, that will be run through
# rawbody rules.
#
# rawbody_part_scan_size 500000
# 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
#
# SpamAssassin tries hard not to launch DNS queries before priority -100.
# If you want to shortcircuit without launching unneeded queries, make
# sure such rule priority is below -100. These examples are already:
#
# 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