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docs/PROJECT.md

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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

requirements.txt

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+daggr>=0.5.4
+gradio>=6.0.2
+pydantic>=2.10.0
+requests>=2.32.0
+huggingface-hub>=0.27.0
+transformers>=4.49.0
+torch>=2.5.0
+accelerate>=0.35.0