It works by using a Bayesian filter to learn more 'signs' within emails that should be marked spam.Įmail Headers: The Headers, as the name implies, are the top part of an email which is hidden as it contains information to identify routing information of the message, including the sender, recipient, date, and subject. Sa-learn:The sa-learn tool is used to teach SpamAssassin about emails that we considered should be marked as spam, but SpamAssassin is allowing them to come through as not spam. SpamAssassin:SpamAssassin is an open-source tool to help system administrators fight spam using filters and automated tools to facilitate the scanning of emails before they are delivered to the recipient. For example, a promotional mailing list which does not offer the opt-out option. Spam: In simple terms, spam is unsolicited email which can take many forms like junk email, phishing emails, or it can be Legitimate emails that we do not want to receive and there is no way to opt out of it. Alternatively, you can use the following su command to initiate a user SSH session from an existing root SSH session:
#Spamassassin training how to
See our How To Access The Command Line document for more information on how to login as a specific user. You must login as the cPanel user when connecting to your server via SSH in order to successfully execute the sa-learn commands included in this tutorial. You can read about maildir versus mdbox on this document.ģ. Maildir is utilized by default on cPanel & WHM. This means each mailbox is a directory and each message a file, hence the ability to use sa-learn directly on emails and directories. The instructions in this tutorial are intended for use with the maildir email format. However, the commands and examples provided in this tutorial should work with any supported version of cPanel and WHM as well as any supported version of CentOS, Red Hat, or CloudLinux.Ģ.
The instructions in this tutorial were tested on a server running CentOS 7.6 and cPanel & WHM version 78. If you are unsure whether your setup really works, you should check the log using tail -f /var/log/ and send yourself a message.This tutorial includes instructions for using SpamAssassin's sa-learn utility to identify and catch more SPAM.ġ. Then don’t forget to reload spamassassin, dovecot and postfix to enable the changes to the configuration files: /etc/init.d/spamassassin restart # populate the spam db with sa-learn, and fix the dir's permissions.įor dir in /var/spool/postfix/virtual/* do # script to create a directory under /vhome/users for each mail account, I create a directory tree and populate the bayes database using the following script, saved as spam_learn_mail_cron.sh inside /etc/cron.daily. Note that the name of the folder is case-sensitive and you need the capital ‘ J’ if you use the following scripts and configuration entries.įirst of all, we need to maintain a separate spam database for each mail account.
The automation is based on each mail account having a Junk folder in its top directory - just as most mail clients already prepare at first start. After obvious spam has been rejected before queuing using the Spamass-Milter, we can now proceed to check for spam specifically for each user.
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