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Exploring the evolving landscape of AI security, including threats, innovations, and strategies to safeguard AI systems and data. A hub for insights, research, and discussions at the intersection of artificial intelligence and cybersecurity.

AI-Driven Black Box Active Directory Penetration Testing

Fully Automated AD Discovery and Exploitation with Cursor AI and HexStrike-ai MCP. From IP to Full dump.

12 min read5 days ago

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Abstract

This article documents a groundbreaking black box penetration test orchestrated entirely by Cursor AI (an advanced AI coding assistant) integrated with HexStrike-ai MCP (Model Context Protocol) tools. Unlike traditional manual or scripted penetration tests, this assessment demonstrates how artificial intelligence can autonomously discover, analyze, and exploit an unknown target environment, making real-time decisions and self-correcting when encountering issues.

Critical Context: This was a true black box assessment — the only information provided was a single IP address (192.168.56.10). Cursor AI had no prior knowledge of:

  • Whether the target was a Domain Controller
  • If Active Directory was present
  • What services were running
  • What operating system was in use
  • Any credentials or domain information

The entire penetration test was initiated with a single human language prompt and executed completely autonomously, with Cursor AI discovering the environment…

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AISecHub

Published in AISecHub

Exploring the evolving landscape of AI security, including threats, innovations, and strategies to safeguard AI systems and data. A hub for insights, research, and discussions at the intersection of artificial intelligence and cybersecurity.

Andrey Pautov

Written by Andrey Pautov

Red Team-minded security researcher. AI-driven pentesting workflows, real tool output, troubleshooting, and a defender’s perspective on what to log and detect.

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