Hi everyone,

Following a brief exchange with Giovanni Bechis, I’m reaching out to
this list to present an open-source project I’ve been developing:
Mailuminati Guardian.

By way of background, I’ve been working in the anti-spam and
anti-fraud ecosystem for about 15 years, currently for the French
public mailbox provider laposte.net.

What is Mailuminati Guardian?

Guardian is a high-performance enforcement service designed to run
alongside your existing MTA and SpamAssassin setup. It is not meant to
replace SpamAssassin, but to complement it by providing a fast, local
fuzzy-hashing layer.

It relies on TLSH (Trend Micro Locality Sensitive Hash) and LSH techniques to:

1. Generate structural fingerprints of incoming emails.

2. Apply immediate local learning: When you or your users report a
threat, Guardian learns the structural "distance" and blocks similar
variants instantly without waiting for global rules.

3. Collaborate via the Oracle: It queries a shared global database
only when local proximity is detected, benefiting from
community-driven intelligence while preserving privacy (no raw content
is ever shared).

Why I’m posting here

I have developed an integration for SpamAssassin (and Rspamd/Dovecot)
and I am looking for experienced postmasters and developers from this
community to:

• Beta test the integration: Validate the installer and the plugin’s
behavior in different environments.

• Provide feedback: On the logic, the scoring, and the overall performance.

• Discuss Perl implementation: Giovanni mentioned that a native TLSH
Perl implementation for SA could be an interesting path forward, and
I’d love to hear the community’s thoughts on this.

The goal is to make our filtering stacks more resilient and benefit
from a shared experience, because as we all know, the more "email
geeks" we are, the more effective our defense becomes.

Project Link: https://github.com/Mailuminati/Guardian

If you have a bit of time to look at the code or test the
installation, your feedback would be invaluable. And if you like the
approach, feel free to star the repo to help with visibility!

Looking forward to your thoughts and feedback.

Best regards,

Simon Bressier

https://www.linkedin.com/in/simon-bressier/

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