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| # Mooncrime Project Documentation | |
| ## Project Overview | |
| Mooncrime is a security research tool designed to analyze screenshots from Shodan, focusing on Industrial Control Systems (ICS) and RTSP camera streams. The tool utilizes the Moondream 3 Vision Language Model (VLM) to provide detailed security analysis of exposed systems. | |
| ## Goals and Objectives | |
| ### Primary Goals | |
| 1. **Security Vulnerability Assessment**: Identify and analyze exposed ICS interfaces and camera systems | |
| 2. **Research Tool Development**: Build a reproducible workflow for analyzing internet-connected device screenshots | |
| 3. **Community Education**: Provide a tool for security researchers to understand exposed system risks | |
| ### Secondary Goals | |
| 1. Document common vulnerability patterns in exposed systems | |
| 2. Develop best practices for secure system configuration | |
| 3. Support academic and professional security research | |
| ## Technical Architecture | |
| ### Components | |
| - **Moondream 3 Model**: Vision Language Model for image analysis | |
| - **Daggr Framework**: Workflow orchestration and UI generation | |
| - **Gradio Interface**: User interface for image input and results display | |
| - **Hugging Face Spaces**: Deployment platform for ZeroGPU inference | |
| ### Data Flow | |
| 1. User provides Shodan screenshot URL or uploads image | |
| 2. Image is preprocessed and prepared for analysis | |
| 3. Moondream 3 model generates analysis based on prompts | |
| 4. Results are formatted and displayed to user | |
| ## Shodan Query Reference | |
| ### Industrial Control Systems |