Spamassassin


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Spamassassin ruleset to help catch these emails:

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# weiner_pills.cf
# WEINER PILLS Ruleset for SpamAssassin
# Version:  01.00.00
# Created:  2006-07-20 Kyle Reynolds
# Modified: 2006-07-21 Kyle Reynolds

########  ######################   ##################################################
#                                  OBFUSCATED WEINER PILLS

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Spamassassin setup with Postifx and Procmail:
--------------------------------------------

Local.cf:

# SpamAssassin config file for version 2.5x

# How many hits before a message is considered spam.
required_hits           4.0

# Whether to change the subject of suspected spam
rewrite_subject         1

# Text to prepend to subject if rewrite_subject is used
subject_tag             *****SPAM*****

# Encapsulate spam in an attachment
report_safe             1

# Use terse version of the spam report
use_terse_report        0

# Enable the Bayes system

Tags:
                                  
sa-learn --dump all | sort > bayes_dump.txt
sa-learn --dump data | sort > bayes_dump.txt
sa-learn --dump magic | sort > bayes_dump.txt
sa-learn --spam /path/to/spam/folder
sa-learn --ham /path/to/ham/folder



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Output from the sa-learn --dump command is formatted accordingly:


sa-learn --dump data | sort > bayes_dump.txt

0.001          0         48 1108391722  H*M:hpb
0.001          0         48 1108391722  H*M:hpbrm
0.001          0         55 1108391737  H*r:sk:PUBLIC.
0.001          0         56 1108391737  H*F:U*mthomason
0.001          0         57 1108391737  H*F:D*halfpricebooks.com
0.001          0         57 1108391737  H*r:66.250.20
0.013          0          4 1108391715  awfully
0.013          0          4 1108391715  dudes