How to handle spam training in Hestia

[sahsanu]

Hi @Plutopotamus,

@Plutopotamus

I’m trying Hestia out because I’m getting too old & lazy to roll my own

We’re in the same boat

@Plutopotamus

On my last system I set up an auto created folder along with spam-learn called spam-unlearn for users to place messages that were falsely flagged. I don’t see anything like that by default in Hestia.

I use this GitHub - sahsanu/v-hestiacp-sieve: Autolearn spam and ham for Hestia CP Spamassassin

It basically adds rules to Dovecot so when the user moves a message to spam folder, it copies to a specified dir /var/mail/imapsieve_copy/spam/ and if the user moves a message from spam dir to another dir, Dovecot copies it to dir /var/mail/imapsieve_copy/ham.

Later, a daily cron job launches a script that will execute sa-learn --spam for messages in /var/mail/imapsieve_copy/spam and sa-learn --ham for messages in /var/mail/imapsieve_copy/ham

For a bit more info:

Auto-Learn spam/ham installer

@djav1985 created a repository with the software here: A couple of months ago I sent two PRs to fix two bugs and he merged them but are not in the main branch so if you install from his repo, you will have issues. Till @djav1985 can add the fixes to main branch, you can download it from my fork (it has also a new feature ro remove duplicated spam/ham messages). To install, using root user, execute these steps: Note: If you don’t have git installed, install it with apt install git cd /…

Keep in mind that Spamassassin won’t use any info learned (Bayes rules) till at least it gets data from 200 messages, so, well, you could use your ham and spam messages to train it and speed up the process. It’s usually better to train Spamassassin with more ham than spam messages.