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Robin: AI-Powered Dark Web OSINT Tool

Robin is an AI-powered CLI-based tool for conducting dark web OSINT investigations. It leverages LLMs to refine queries, filter search results from dark web search engines, and provide an investigation summary.

InstallationUsageContributingAcknowledgements

Demo


Features

  • ⚙️ Modular Architecture – Clean separation between search, scrape, and LLM workflows.
  • 🤖 Multi-Model Support – Easily switch between OpenAI, Claude, or local models like Ollama.
  • 💻 CLI-First Design – Built for terminal warriors and automation ninjas.
  • 🐳 Docker-Ready – Optional Docker deployment for clean, isolated usage.
  • 📝 Custom Reporting – Save investigation output to file for reporting or further analysis.
  • 🧩 Extensible – Easy to plug in new search engines, models, or output formats.

Installation

Note

The tool needs Tor to do the searches. You can install Tor using apt install tor on Linux/Windows(WSL) or brew install tor on Mac. Once installed, confirm if Tor is running in the background.

Release Binary (Recommended)

  • Download the appropriate binary for your system from the latest release
  • Unzip the file, make the binary executable with chmod +x robin, and run as
robin -m gpt4o -q "ransomware payments"

Using Python (Development Version)

  • With Python 3.10+ installed, run the following:
pip install -r requirements.txt
python main.py -m gpt4o -q "ransomware payments" -t 12

Tip

You can provide OpenAI or Anthropic key by either creating .env file (refer to sample env file in the repo) or by setting env variables in PATH

Docker Image

  • Build the Docker Image:
docker build -t robin .
  • Run the Container:
mkdir -p output
docker run --rm \
   -v "$(pwd)/.env:/app/.env" \
   -v "$(pwd)/output:/app/output" \
   robin --model gpt4o --query "dark web financial fraud" --output results

Usage

Robin: AI-Powered Dark Web OSINT Tool

options:
  -h, --help            show this help message and exit
  --model {gpt4o,claude-3-5-sonnet-latest,llama3.1}, -m {gpt4o,claude-3-5-sonnet-latest,llama3.1}
                        Select LLM model (e.g., gpt4o, claude sonnet 3.5, ollama models)
  --query QUERY, -q QUERY
                        Dark web search query
  --threads THREADS, -t THREADS
                        Number of threads to use for scraping (Default: 5)
  --output OUTPUT, -o OUTPUT
                        Filename to save the final intelligence summary. If not provided, a filename based on the
                        current date and time is used.

Example commands:
 - robin -m gpt4o -q "ransomware payments" -t 12
 - robin --model claude-3-5-sonnet-latest --query "sensitive credentials exposure" --threads 8 --output filename
 - robin -m llama3.1 -q "zero days"

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  • Fork the repository
  • Create your feature branch (git checkout -b feature/amazing-feature)
  • Commit your changes (git commit -m 'Add some amazing feature')
  • Push to the branch (git push origin feature/amazing-feature)
  • Open a Pull Request

Open an Issue for any of these situations:

  • If you spot a bug or bad code
  • If you have questions or about doubts about usage

Acknowledgements

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