{"repo":"vectra-ai-research/Halberd","free":true,"listed":false,"github":"https://github.com/vectra-ai-research/Halberd","clone":"git clone https://github.com/vectra-ai-research/Halberd.git","description":"Halberd : Multi-Cloud Agentic Attack Tool","language":"Python","stars":342,"topics":["aws","azuread","blueteam-tools","entra-id","m365","microsoft","mitre-attack","offensive-security","redteam","redteam-tools"],"license":"GPL-3.0","category":"deployment-docker-iac","readme_excerpt":"Halberd: Multi-Cloud Agentic Attack Tool Validate your multi-cloud defenses through realistic attack emulation 🚀 Get Started • 📖 About • ✨ Features • 📚 Guide • 📋 Docs • 🤝 Contributing --- 🚀 Quick Start Get Halberd running in under 60 seconds. Choose the installation method that works best for you. Option 1: Docker (Recommended) The fastest way to get started. One command and you're ready: Then open your browser to http://localhost:8050 and you're ready to go! Using Docker Compose? 📖 Need more details? Check out our Docker Deployment Guide Option 2: Manual Setup Perfect for development or custom configurations. Prerequisites: - Python 3.8.x - 3.13.x Steps: 1. Clone the repository 2. Set up Python virtual environment 3. Optional: Install Azure CLI (Required for Azure testing) Microsoft Azure CLI install doc 4. Launch Halberd 5. Access the web interface Navigate to http://127.0.0.1:8050 in your browser. ✅ Success! You should see the Halberd web interface. If you see the dashboard, you're all set! --- 📖 What is Halberd? Halberd is an open-source, multi-cloud attack emulation tool built for cybersecurity professionals who need to validate their cloud security defenses. Testing cloud security across multiple platforms is complex, time-consuming, and often requires deep expertise in each cloud provider's unique attack surfaces. Halberd solves this by providing: - Unified Multi-Cloud Testing : Test Azure, AWS, GCP, Entra ID, and M365 from a single interface - 120+ Attack Tech","default_branch":null,"files":null,"tree":[],"storefront":"/r/vectra-ai-research","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vectra-ai-research/Halberd/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}