The Grinder Framework is a Python-based tool for automated internet-connected device discovery and fingerprinting. It targets security researchers and developers needing to enumerate hosts, identify services, and analyze vulnerabilities across large datasets, offering a comprehensive solution for internet-wide scanning and analysis.

How It Works

Grinder leverages Shodan and Censys APIs for initial host discovery, then employs a multi-processed Nmap wrapper for port and service scanning. It integrates with the Vulners API to retrieve exploit and vulnerability information, and can also analyze SSL/TLS configurations. The framework supports custom Python and Lua scripts for extended analysis and can generate interactive world maps and plots for data visualization.

Quick Start & Requirements

• Install: Clone the repository, create a virtual environment (python3 -m venv grindervenv, source grindervenv/bin/activate), install requirements (pip3 install -r requirements.txt).
• Prerequisites: Python 3.6+, python3-tk, FreeType library (Python 3.8+), Shodan and Censys accounts. Optional: Vulners account, Nmap 7.60+, Java 8 and TLS-Attacker 3.0 for TLS scanning.
• Configuration: Set API keys via command-line arguments or environment variables (SHODAN_API_KEY, CENSYS_API_ID, CENSYS_API_SECRET, VULNERS_API_KEY).
• Run: ./grinder.py -h for help, ./grinder.py -r -q queries/servers.json for basic enumeration.
• Docs: Wiki

Highlighted Details

• Automated host enumeration using Shodan and Censys.
• Enhanced scanning with Nmap and Vulners API integration.
• Interactive map visualization of discovered hosts.
• Support for custom Python and NSE scripts.
• TLS scanning capabilities for configuration and vulnerability analysis.

Maintenance & Community

The project appears to be actively developed, with ongoing work on NSE script integration and testing modules. Users can contribute via pull requests or issues.

Licensing & Compatibility

The repository does not explicitly state a license in the README. Compatibility for commercial use or closed-source linking would require clarification on licensing.

Limitations & Caveats

The README notes that NSE script execution is still a work-in-progress and will be run sequentially. Some tests are also marked as WIP. The project's licensing is not specified, which may impact commercial adoption.