# make the report in the header as opposed to in the body (default=0)
report_header 0

# report briefly, recommended for report_header==1 (default=0)
use_terse_report 1

# make conversion from mime to text/plain if set to yes (default=1)
defang_mime 0

# How many hits before a message is considered spam.
required_hits 5.0

# rewrite the Subject: line with ****SPAM**** .* if set to 1 (default=1)
# Whether to change the subject of suspected spam
rewrite_subject 0

# Encapsulate spam in an attachment
report_safe 1

# Enable the Bayes system
use_bayes 1

# Enable Bayes auto-learning
auto_learn 1

# Enable or disable network checks
skip_rbl_checks 1
use_razor2 1

# Mail using languages used in these country codes will not be marked
# as being possibly spam in a foreign language.
ok_languages all

# Mail using locales used in these country codes will not be marked
# as being possibly spam in a foreign language.
ok_locales all

# DNS-Lookups
dns_available no

Spam anlernen:

z.B. mit Webmin die Mails mit Spam an einen bel. weiteren Nutzer schicken (bei mir spamuser).
Anschließend folgendes Script laufen lassen:

Script zum Spamanlernen:

/usr/bin/learn-spam

#!/bin/bash
#
# Spamassassin Cron-Script
#
# Ziele: Spam erlernen, in Spam-DB aufnehmen und für alle Nutzer anwenden
#
# Spam lernen
#
/usr/bin/sa-learn –spam –mbox /var/spool/mail/spamuser
#
# Nutzer finden
#
LOCUSERS=`find /home -group users -maxdepth 1`
for LOCALUSERS in $LOCUSERS; do
LUSERS=$LUSERS“ „${LOCALUSERS:6}
done
#
# Config für alle Nutzer kopieren
#
for namen in $LUSERS; do
test -d „/home/$namen/.spamassassin“ || { mkdir /home/$namen/.spamassassin;
cp -R /root/.spamassassin/bayes* /home/$namen/.spamassassin
chown -R $namen:users /home/$namen/.spamassassin
done
#echo ‚Starte Postfix neu:‘
/etc/init.d/postfix restart
echo ‚User-Spamdb aktualisiert!‘