PANO - Platform for Analysis and Network Operations

🚀 Getting Started

1. Clone the repository:

   git clone https://github.com/ALW1EZ/PANO.git
   cd PANO
   

2. Run the application:

   • Linux: ./start_pano.sh
   • Windows: start_pano.bat

The startup script will automatically:

• Check for updates
• Set up the Python environment
• Install dependencies
• Launch PANO

In order to use Email Lookup transform You need to login with GHunt first. After starting the pano via starter scripts;

1. Select venv manually
   • Linux: source venv/bin/activate
   • Windows: call venv\Scripts\activate
2. See how to login here

💡 Quick Start Guide

1. Create Investigation: Start a new investigation or load an existing one
2. Add Entities: Drag entities from the sidebar onto the graph
3. Discover Connections: Use transforms to automatically find relationships
4. Analyze: Use timeline and map views to understand patterns
5. Save: Export your investigation for later use

🔍 Features

🕸️ Core Functionality

• Interactive Graph Visualization

  • Drag-and-drop entity creation
  • Multiple layout algorithms (Circular, Hierarchical, Radial, Force-Directed)
  • Dynamic relationship mapping
  • Visual node and edge styling

• Timeline Analysis

  • Chronological event visualization
  • Interactive timeline navigation
  • Event filtering and grouping
  • Temporal relationship analysis

• Map Integration

  • Geographic data visualization
  • Location-based analysis
  • Interactive mapping features
  • Coordinate plotting and tracking

🎯 Entity Management

• Supported Entity Types
  • 📧 Email addresses
  • 👤 Usernames
  • 🌐 Websites
  • 🖼️ Images
  • 📍 Locations
  • ⏰ Events
  • 📝 Text content
  • 🔧 Custom entity types

🔄 Transform System

• Email Analysis

  • Google account investigation
  • Calendar event extraction
  • Location history analysis
  • Connected services discovery

• Username Analysis

  • Cross-platform username search
  • Social media profile discovery
  • Platform correlation
  • Web presence analysis

• Image Analysis

  • Reverse image search
  • Visual content analysis
  • Metadata extraction
  • Related image discovery

🤖 AI Integration

• PANAI
  • Natural language investigation assistant
  • Automated entity extraction and relationship mapping
  • Pattern recognition and anomaly detection
  • Multi-language support
  • Context-aware suggestions
  • Timeline and graph analysis

🧩 Core Components

📦 Entities

Entities are the fundamental building blocks of PANO. They represent distinct pieces of information that can be connected and analyzed:

• Built-in Types

  • 📧 Email: Email addresses with service detection
  • 👤 Username: Social media and platform usernames
  • 🌐 Website: Web pages with metadata
  • 🖼️ Image: Images with EXIF and analysis
  • 📍 Location: Geographic coordinates and addresses
  • ⏰ Event: Time-based occurrences
  • 📝 Text: Generic text content

• Properties System

  • Type-safe property validation
  • Automatic property getters
  • Dynamic property updates
  • Custom property types
  • Metadata support

⚡ Transforms

Transforms are automated operations that process entities to discover new information and relationships:

• Operation Types

  • 🔍 Discovery: Find new entities from existing ones
  • 🔗 Correlation: Connect related entities
  • 📊 Analysis: Extract insights from entity data
  • 🌐 OSINT: Gather open-source intelligence
  • 🔄 Enrichment: Add data to existing entities

• Features

  • Async operation support
  • Progress tracking
  • Error handling
  • Rate limiting
  • Result validation

🛠️ Helpers

Helpers are specialized tools with dedicated UIs for specific investigation tasks:

• Available Helpers

  • 🔍 Cross-Examination: Analyze statements and testimonies
  • 👤 Portrait Creator: Generate facial composites
  • 📸 Media Analyzer: Advanced image processing and analysis
  • 🔍 Base Searcher: Search near places of interest
  • 🔄 Translator: Translate text between languages

• Helper Features

  • Custom Qt interfaces
  • Real-time updates
  • Graph integration
  • Data visualization
  • Export capabilities

👥 Contributing

We welcome contributions! To contribute to PANO:

1. Fork the repository at https://github.com/ALW1EZ/PANO/
2. Make your changes in your fork
3. Test your changes thoroughly
4. Create a Pull Request to our main branch
5. In your PR description, include:
   • What the changes do
   • Why you made these changes
   • Any testing you've done
   • Screenshots if applicable

Note: We use a single main branch for development. All pull requests should be made directly to main.

📖 Development Guide

from dataclasses import dataclass
from typing import ClassVar, Dict, Any
from .base import Entity

@dataclass
class PhoneNumber(Entity):
    name: ClassVar[str] = "Phone Number"
    description: ClassVar[str] = "A phone number entity with country code and validation"
    
    def init_properties(self):
        """Initialize phone number properties"""
        self.setup_properties({
            "number": str,
            "country_code": str,
            "carrier": str,
            "type": str,  # mobile, landline, etc.
            "verified": bool
        })
    
    def update_label(self):
        """Update the display label"""
        self.label = self.format_label(["country_code", "number"])