onvifscout 0.1.0

A comprehensive ONVIF device discovery and analysis tool for network cameras and devices

ONVIF Scout

A comprehensive ONVIF device discovery and analysis tool that helps you find, authenticate, and examine ONVIF-compatible devices on your network. ONVIF Scout provides robust device detection, credential testing, and detailed capability analysis with an intuitive command-line interface.

🌟 Features

Device Discovery

• Uses WS-Discovery protocol for device detection
• Supports multiple network interfaces
• Configurable timeout and retry settings
• Automatic response parsing and validation

Authentication Probe

• Concurrent credential testing with configurable workers
• Support for both Basic and Digest authentication
• Automatic auth type detection
• Built-in retry mechanism for reliability
• Progress tracking for long operations

Feature Detection

• Comprehensive capability analysis
• Service enumeration
• Device information retrieval
• PTZ capabilities detection
• Media profile inspection
• Analytics support detection

User Interface

• Color-coded console output
• Progress bars for long operations
• Detailed debug logging option
• Clean, organized results display
• Support for quiet mode

📋 Requirements

• Python 3.8 or higher
• Network access to ONVIF devices
• Required packages:
  • colorama >= 0.4.6
  • requests >= 2.32.3

🚀 Installation

Using pip (Recommended)

pip install onvifscout

From Source

# Clone the repository
git clone https://github.com/chrissmartin/onvifscout.git
cd onvifscout

# Create virtual environment (recommended)
python -m venv venv

# Activate virtual environment
# On Linux/MacOS:
source venv/bin/activate
# On Windows:
venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Install the package
pip install -e .

🛠️ Usage

Basic Command

onvifscout

Command-Line Options

Optional arguments:
  -h, --help            Show this help message
  --timeout SECS        Discovery timeout in seconds (default: 3)
  --max-workers NUM     Maximum concurrent authentication attempts (default: 5)
  --usernames LIST      Comma-separated list of usernames to try
  --passwords LIST      Comma-separated list of passwords to try
  --skip-auth          Skip authentication probe
  --skip-features      Skip feature detection
  --no-color           Disable colored output
  --quiet              Suppress non-essential output
  --debug              Enable debug logging

Example Commands

# Extended discovery timeout and more concurrent workers
onvifscout --timeout 5 --max-workers 10

# Custom credential lists
onvifscout --usernames admin,root,operator --passwords admin,12345,password123

# Quick discovery only (skip auth and feature detection)
onvifscout --skip-auth --skip-features

# Debug mode with extended timeout
onvifscout --debug --timeout 10

# Quiet mode with custom credentials
onvifscout --quiet --usernames admin --passwords admin,12345

Default Credentials

The tool tests the following default credentials unless otherwise specified:

• Usernames: admin, root, service
• Passwords: admin, 12345, password

📁 Project Structure

onvifscout/
├── onvifscout/
│   ├── __init__.py        # Package initialization
│   ├── main.py            # CLI entry point
│   ├── auth.py            # Authentication handling
│   ├── discovery.py       # Device discovery
│   ├── features.py        # Feature detection
│   ├── models.py          # Data models
│   ├── utils.py           # Utilities and logging
│   └── help_formatter.py  # Help message formatting
├── setup.py               # Package configuration
├── requirements.txt       # Dependencies
└── README.md             # Documentation

🤝 Contributing

Contributions are welcome! Please feel free to submit pull requests, create issues, or suggest improvements.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

✉️ Contact

Project Link: https://github.com/chrissmartin/onvifscout