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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
- Security Vulnerability Assessment: Identify and analyze exposed ICS interfaces and camera systems
- Research Tool Development: Build a reproducible workflow for analyzing internet-connected device screenshots
- Community Education: Provide a tool for security researchers to understand exposed system risks
Secondary Goals
- Document common vulnerability patterns in exposed systems
- Develop best practices for secure system configuration
- 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
- User provides Shodan screenshot URL or uploads image
- Image is preprocessed and prepared for analysis
- Moondream 3 model generates analysis based on prompts
- Results are formatted and displayed to user