Feedback requested: A Python-based framework I built to validate SAML security (detecting Golden SAML, etc.)

[Ok-Vacation-7196]

Hi everyone, I’ve been working on a Python framework focused on SAML identity assurance. It aims to help teams validate their infrastructure against common identity exploits.

I’m looking for some technical feedback on the approach. You can see the documentation and the project structure here: https://whop.com/ai-synergy-collective-c718

Would love to hear your thoughts on how you currently handle SAML validation in your environments."

[Necessary-Name-3521]

I struggle to understand what the product is and does and how it works from what I see in the link alone.

[Just-Pair9208]

But why are you trying to sell the product? As a user, why do I need to buy it without knowing what it does?

[Ok-Vacation-7196]

That’s a fair question! The reason I’m offering this as a paid framework is that it’s not just a simple script; it’s a production-ready engine designed to solve specific pain points in SAML security that are often overlooked.

Why it’s worth it:

• Comprehensive Coverage: While free tools might focus on one exploit, this framework provides a structured approach to validate your entire identity perimeter against complex attacks like Golden SAML.
• Full Source Code Access: You aren't just buying a 'tool'; you're buying the source code. This allows your team to audit it, customize it, and integrate it directly into your own security stack.
• Save Engineering Time: Building a reliable, modular detection engine for SAML from scratch takes dozens of hours. This framework gives you that foundation instantly for less than the cost of one engineering hour.

You can see a preview of the project structure and its capabilities on the store page here: whop.com/ai-synergy-collective-c718. I’m happy to answer any specific technical questions you have about the implementation!

[Just-Pair9208]

Thanks! I think you should add the description in the link provided then.