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DNStwist MCP Server: Typosquatting Protection & Phishing Defense - MCP Implementation

DNStwist MCP Server: Typosquatting Protection & Phishing Defense

Protect your brand from typosquatting, phishing, and corporate spies with DNStwist MCP Server – the ultimate DNS fuzzer for proactive security.

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About DNStwist MCP Server

What is DNStwist MCP Server: Typosquatting Protection & Phishing Defense?

DNStwist MCP Server is an advanced cybersecurity tool designed to detect and mitigate typosquatting attacks and phishing threats. It leverages domain generation algorithms (DGAs) to identify maliciously registered domains that mimic legitimate brands or organizations. By integrating with Docker and existing security frameworks, it provides real-time monitoring and analysis to protect enterprises and individuals from fraudulent activities. The server evaluates domain name variations, DNS records, and website content to flag potential security risks.

How to Use DNStwist MCP Server: Typosquatting Protection & Phishing Defense?

Implementation requires configuring the server with target domains and specifying analysis parameters. Users can deploy via Docker containers or manual setup, then define input parameters such as DNS servers, thread counts, and content-check flags. Results are output in JSON or console formats for integration into SIEM systems or manual review. Customization options include enabling MX record checks, HTTP banner capture, and fuzzy hashing of webpage content for deeper analysis.

DNStwist MCP Server Features

Key Features of DNStwist MCP Server: Typosquatting Protection & Phishing Defense?

  • Domain Fuzzing: Generates and evaluates domain variations using character substitutions, phonetic algorithms, and typos.
  • DNS & MX Analysis: Scans for active DNS records and mail servers to detect malicious infrastructure.
  • Content Profiling: Captures HTTP response headers and performs ssdeep fuzzy hashing to identify cloned websites.
  • Performance Optimization: Adjustable thread counts and parallel DNS queries ensure scalability across large domain sets.
  • Output Flexibility: Supports JSON-formatted results for programmatic consumption or human-readable console outputs.

Use Cases of DNStwist MCP Server: Typosquatting Protection & Phishing Defense?

Primary applications include:

  • Enterprise brand protection to monitor unauthorized domain registrations.
  • Security teams conducting threat hunting for phishing infrastructure.
  • IT departments performing quarterly domain hygiene audits.
  • Researchers analyzing typo-squatting trends in malicious domain ecosystems.
  • Incident responders verifying compromised subdomains during breach investigations.

DNStwist MCP Server FAQ

FAQ: Troubleshooting DNStwist MCP Server

Q: Docker deployment fails with permission errors?
A: Ensure Docker socket permissions are configured correctly and run containers with elevated privileges if required.

Q: DNS resolution timing out?
A: Verify DNS server availability in configuration files and consider adding multiple fallback servers.

Q: How to optimize performance for large domain lists?
A: Increase thread count parameters and utilize distributed processing clusters for parallel analysis.

Q: Output contains false positives?
A: Refine search patterns using exclude lists and adjust fuzzy matching thresholds in configuration parameters.

Content

DNStwist MCP Server

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A Model Context Protocol (MCP) server for dnstwist, a powerful DNS fuzzing tool that helps detect typosquatting, phishing, and corporate espionage. This server provides tools for analyzing domain permutations and identifying potentially malicious domains. It is designed to integrate seamlessly with MCP-compatible applications like Claude Desktop.

mcp-dnstwist MCP server

⚠️ Warning

This tool is designed for legitimate security research purposes. Please:

  • Only analyze domains you own or have permission to test
  • Respect rate limits and DNS server policies
  • Use responsibly and ethically
  • Be aware that some DNS servers may rate-limit or block automated queries
  • Consider the impact on DNS infrastructure when running large scans

Requirements

  • Node.js (v18 or later)
  • Docker
  • macOS, Linux, or Windows with Docker Desktop installed

Quick Start

Installing via Smithery

To install DNStwist for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @burtthecoder/mcp-dnstwist --client claude

Installing Manually

  1. Install Docker:
* macOS: Install [Docker Desktop](https://www.docker.com/products/docker-desktop)
* Linux: Follow the [Docker Engine installation guide](https://docs.docker.com/engine/install/)
  1. Install the server globally via npm:
npm install -g mcp-dnstwist
  1. Add to your Claude Desktop configuration file:
{
  "mcpServers": {
    "dnstwist": {
      "command": "mcp-dnstwist"
    }
  }
}

Configuration file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  1. Restart Claude Desktop

Alternative Setup (From Source)

If you prefer to run from source or need to modify the code:

  1. Clone and build:
git clone <repository_url>
cd mcp-dnstwist
npm install
npm run build
  1. Add to your Claude Desktop configuration:
{
  "mcpServers": {
    "dnstwist": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-dnstwist/build/index.js"]
    }
  }
}

Features

  • Domain Fuzzing : Generate domain permutations using various algorithms
  • Registration Check : Verify if permutated domains are registered
  • DNS Analysis : Check A, AAAA, MX, and NS records
  • Web Presence : Capture HTTP banner information
  • WHOIS Data : Retrieve registration dates and registrar information
  • Phishing Detection : Generate fuzzy hashes of web pages
  • Configurable : Custom DNS servers and parallel processing
  • Multiple Formats : Support for json, csv, and list output formats

Tools

Domain Fuzzing Tool

  • Name: fuzz_domain
  • Description: Generate and analyze domain permutations to detect potential typosquatting, phishing, and brand impersonation
  • Parameters:
    • domain (required): Domain name to analyze (e.g., example.com)
    • nameservers (optional, default: "1.1.1.1"): Comma-separated list of DNS servers
    • threads (optional, default: 50): Number of threads for parallel processing
    • format (optional, default: "json"): Output format (json, csv, list)
    • registered_only (optional, default: true): Show only registered domains
    • mxcheck (optional, default: true): Check for MX records
    • ssdeep (optional, default: false): Generate fuzzy hashes of web pages
    • banners (optional, default: true): Capture HTTP banner information

Example:

{
  "domain": "example.com",
  "nameservers": "1.1.1.1,8.8.8.8",
  "threads": 50,
  "format": "json",
  "registered_only": true,
  "mxcheck": true,
  "banners": true
}

Troubleshooting

Docker Issues

  1. Verify Docker is installed and running:
docker --version
docker ps
  1. Check Docker permissions:
    * Ensure your user has permissions to run Docker commands
    * On Linux, add your user to the docker group: sudo usermod -aG docker $USER

Common Issues

  1. DNS resolution problems:
* Verify DNS servers are accessible
* Try alternative DNS servers (e.g., 8.8.8.8)
* Check for rate limiting or blocking
  1. Performance issues:
* Adjust thread count based on system capabilities
* Consider network bandwidth and latency
* Monitor DNS server response times
  1. After fixing any issues:
* Save the configuration file
* Restart Claude Desktop

Error Messages

  • "Docker is not installed or not running": Install Docker and start the Docker daemon
  • "Failed to parse dnstwist output": Check if the domain is valid and the format is correct
  • "Error executing dnstwist": Check Docker logs and ensure proper permissions
  • "DNS server not responding": Verify DNS server accessibility and try alternative servers

Contributing

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

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