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Code Issues Releases Wiki Activity

Use DQS in spamassassin

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KiekerJan 2025-05-19 22:08:09 +02:00
parent 553b49a29e
commit b5864f43f0
1 changed files with 29 additions and 0 deletions
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29
setup/spamassassin.sh
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@ -141,6 +141,35 @@ tools/editconf.py /etc/spamassassin/local.cf -s \
mkdir -p "$STORAGE_ROOT/mail/spamassassin"
chown -R spampd:spampd "$STORAGE_ROOT/mail/spamassassin"
## Configure usage of Spamhaus DQS Key (see https://github.com/spamhaus/spamassassin-dqs?tab=readme-ov-file#instructions-for-spamassassin-341-to-346)
if [ -z "${SPAMHAUS_DQS_KEY:-}" ]; then
# Using public spamhaus servers, cleanup possible dqs configuration
rm -f /etc/spamassassin/SH.pm
rm -f /etc/spamassassin/sh.cf
rm -f /etc/spamassassin/sh.pre
rm -f /etc/spamassassin/sh_scores.cf
else
# Using Spamhaus DQS servers
# Get the source files
wget_verify https://raw.githubusercontent.com/spamhaus/spamassassin-dqs/f1baa2597443bc99b2777050383717de50eca2ce/3.4.1%2B/SH.pm 8e58b56e8a34899b50ba1a7e3d047ad1bef2e69c /tmp/SH.pm
wget_verify https://raw.githubusercontent.com/spamhaus/spamassassin-dqs/f1baa2597443bc99b2777050383717de50eca2ce/3.4.1%2B/sh.cf bdee2576b2400e3b284f5ab4b9c99faa39ad49c7 /tmp/sh.cf
wget_verify https://raw.githubusercontent.com/spamhaus/spamassassin-dqs/f1baa2597443bc99b2777050383717de50eca2ce/3.4.1%2B/sh.pre c73b2d9b5dae37864acf5479966f248dc6be4ee9 /tmp/sh.pre
wget_verify https://raw.githubusercontent.com/spamhaus/spamassassin-dqs/f1baa2597443bc99b2777050383717de50eca2ce/3.4.1%2B/sh_scores.cf 0e7360514245760754ee92172c275545a77a5860 /tmp/sh_scores.cf
# Insert the DQS Key
sed -i -e 's/your_DQS_key/'$SPAMHAUS_DQS_KEY'/g' /tmp/sh.cf
# Modify the configuration directory
sed -i -e 's/<config_directory>/\/etc\/spamassassin/g' /tmp/sh.pre
mv -f /tmp/SH.pm /etc/spamassassin/
mv -f /tmp/sh.cf /etc/spamassassin/
mv -f /tmp/sh.pre /etc/spamassassin/
mv -f /tmp/sh_scores.cf /etc/spamassassin/
fi
# To mark mail as spam or ham, just drag it in or out of the Spam folder. We'll
# use the Dovecot antispam plugin to detect the message move operation and execute
# a shell script that invokes learning.