#27 Junk with sieve

This commit is contained in:
Bastien Lacoste 2022-04-10 08:42:43 +02:00 committed by admin666
parent 54780eb97a
commit d703bb569a
4 changed files with 14 additions and 8 deletions

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@ -80,7 +80,7 @@ plugin {
# Identical to sieve_before, only the specified scripts are executed after the # Identical to sieve_before, only the specified scripts are executed after the
# user's script (only when keep is still in effect!). Multiple script # user's script (only when keep is still in effect!). Multiple script
# locations can be specified by appending an increasing number. # locations can be specified by appending an increasing number.
#sieve_after = sieve_after = /etc/dovecot/sieve-after
#sieve_after2 = #sieve_after2 =
#sieve_after2 = (etc...) #sieve_after2 = (etc...)

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@ -0,0 +1,6 @@
require ["fileinto","mailbox"];
if header :contains "X-Spam-Flag" "YES" {
fileinto :create "Junk";
stop;
}

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@ -9,13 +9,13 @@
# Add *****SPAM***** to the Subject header of spam e-mails # Add *****SPAM***** to the Subject header of spam e-mails
# #
rewrite_header Subject *****SPAM***** #rewrite_header Subject *****SPAM*****
# Save spam messages as a message/rfc822 MIME attachment instead of # Save spam messages as a message/rfc822 MIME attachment instead of
# modifying the original message (0: off, 2: use text/plain instead) # modifying the original message (0: off, 2: use text/plain instead)
# #
report_safe 1 report_safe 0
# Set which networks or hosts are considered 'trusted' by your mail # Set which networks or hosts are considered 'trusted' by your mail
@ -41,21 +41,21 @@ use_bayes 1
# Bayesian classifier auto-learning (default: 1) # Bayesian classifier auto-learning (default: 1)
# #
bayes_auto_learn 1 bayes_auto_learn 1
# Set headers which may provide inappropriate cues to the Bayesian # Set headers which may provide inappropriate cues to the Bayesian
# classifier # classifier
# #
# bayes_ignore_header X-Bogosity bayes_ignore_header X-Bogosity
# bayes_ignore_header X-Spam-Flag bayes_ignore_header X-Spam-Flag
# bayes_ignore_header X-Spam-Status bayes_ignore_header X-Spam-Status
# Whether to decode non- UTF-8 and non-ASCII textual parts and recode # 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. # them to UTF-8 before the text is given over to rules processing.
# #
# normalize_charset 1 normalize_charset 1
# Some shortcircuiting, if the plugin is enabled # Some shortcircuiting, if the plugin is enabled
# #