MindFort's AI agents have been hunting vulnerabilities, and they're making impressive discoveries. Our autonomous red teaming system is finding, validating, and patching web vulnerabilities without any human involvement. Here are two recent case studies that showcase our system in action.

Case Study 1: Critical Authentication Bypass in Enterprise Application

The Challenge

Our autonomous agents were tasked with testing a web application that uses JSON Web Tokens (JWT) for authentication. The application appeared to have robust security measures in place, including token-based session management.

The Discovery

Through methodical testing, our system discovered that the application failed to properly validate token signatures when the algorithm was changed. It executed a classic "alg:none" attack by:

1. Capturing a legitimate JWT during normal authentication

2. Modifying the header to change "alg":"RS256" to "alg":"none"

3. Removing the signature portion entirely

4. Submitting the modified token to protected endpoints

The result? Complete authentication bypass. The server accepted the tampered token as valid, giving unauthorized access to protected functionality.

Finding: JWT Algorithm Bypass ('alg: none') 
Endpoint: All JWT-protected endpoints 
Impact: Complete authentication bypass allowing impersonation of any user 
Severity

The Impact

What makes this case study remarkable is the system's reasoning about the vulnerability's business impact:

"I will publish these findings. The 'alg: none' is the most critical and distinct authentication bypass. The lack of expiration and no invalidation on logout are also critical and I will report them as a combined finding related to improper session (token) lifetime management."

Our system not only found the technical flaw but understood its severity in the broader security context, demonstrating the kind of thinking previously only possible with human experts.

Case Study 2: Bypassing Game Mechanics in Popular Online Platform
The Challenge

The Challenge

Our system was assessing a popular online gaming platform where users solve interactive puzzles and earn points. The platform's business model relies on users engaging with challenges legitimately through the frontend interface.

The Discovery

Our system identified a critical design flaw: while the frontend enforced the intended workflow, the backend API exposed an unprotected endpoint that provided complete puzzle solutions without any verification of attempt or points deduction:

The endpoint returned all puzzle details, including full solutions:

{
  "puzzle": {
    "id": "[redacted]",
    "rating": [redacted],
    "solution": ["[redacted]"],
    "themes": ["[redacted]"]
  }
}

The Impact

This vulnerability completely undermined the platform's core mechanics. Our system classified it as Medium severity because it enables automated solution scraping, bypasses the intended user workflow, and potentially destabilizes the rating ecosystem.

This vulnerability wasn't an implementation bug but a logical design flaw in the API architecture - exactly the type of issue that traditional scanners overlook but experienced human pentesters excel at finding.

How MindFort Works

At MindFort, we've developed a fundamentally different approach to security testing. While we keep the specifics of our technology proprietary, our system combines advanced AI with security expertise in a unique way.

Our platform utilizes specialized capabilities for source code analysis, reconnaissance, and threat intelligence. By leveraging extended compute time for reasoning, our technology can think through complex application workflows and identify gaps where security assumptions break down.

Unlike traditional scanners, our system understands application context and business logic, enabling it to discover vulnerabilities that require deep reasoning and creative thinking.

Why This Changes Everything

The security landscape is shifting rapidly. As attackers deploy their own AI tools, the scale and sophistication of attacks will explode. Manual pentesting simply can't keep up.

MindFort's platform represents a fundamental shift: continuous, autonomous security testing that operates 24/7. We're creating the new standard for security testing - continuous autonomous red teaming that finds and patches vulnerabilities before attackers can exploit them.

We follow responsible disclosure for all discovered vulnerabilities and work closely with affected organizations to fix issues before public disclosure.

Interested in seeing our system in action? Book a demo or contact us at founders@mindfort.ai.