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Security Infrastructure MCP Servers

β˜… 21

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Integrate with security platforms like Splunk SIEM, CrowdStrike EDR, and Microsoft MISP.

πŸ”₯πŸ”₯πŸ”₯βœ“ VerifiedAccount requiredAdvanced setup

Security Infrastructure MCP Servers

A comprehensive collection of secure MCP (Model Context Protocol) server implementations for security platform integrations with enterprise-grade security hardening.

πŸ›‘οΈ Security-First Design

This project has undergone comprehensive security hardening to address critical vulnerabilities and implement security best practices:

βœ… Security Improvements (Latest Update)

  • πŸ”΄ HIGH Severity Fixes:
    • SPL injection prevention with query sanitization and dangerous command blocking
    • Secure XML parsing using defusedxml to prevent XXE attacks
    • Complete removal of hardcoded credentials from all configuration files
  • 🟑 MEDIUM Severity Fixes:
    • Enforced TLS 1.2+ with strong cipher suites for all API communications
    • Comprehensive input validation and sanitization across all servers
    • Prevention of command execution risks and injection attacks
    • Error message sanitization to prevent information disclosure
  • πŸ”΅ Additional Security Features:
    • FQL/SPL injection attack prevention with pattern matching
    • SSL certificate validation enforcement
    • Data sanitization for API responses
    • Secure configuration templates with safe placeholders
    • Comprehensive .gitignore to prevent credential exposure

πŸ”’ Security Documentation

See SECURITY.md for comprehensive security guidelines, configuration best practices, and vulnerability reporting procedures.

πŸ” Supported Platforms

Splunk SIEM

  • Secure SPL Query Execution: Execute Search Processing Language queries with injection prevention
  • Event Search: Search security events across all indexes with sanitized filtering
  • Time-based Analysis: Validated time ranges and custom time windows
  • Asynchronous Job Management: Create and monitor search jobs with secure result retrieval
  • JSON Result Format: Structured output with sensitive data filtering

CrowdStrike EDR

  • Secure Detection Search: Query detections using validated FQL (Falcon Query Language)
  • Detection Details: Retrieve sanitized detection summaries and metadata
  • OAuth 2.0 Authentication: Secure API access with proper token management
  • Input Validation: Comprehensive parameter validation and whitelisting
  • Real-time Threat Data: Access to latest endpoint detection data with security filtering

Microsoft MISP

  • Event Search: Query MISP events with input sanitization and validation
  • IOC Attribute Search: Search indicators with XSS and injection prevention
  • Multi-format Support: Handle various IOC types with content validation
  • SSL Security: Enforced certificate verification with security warnings
  • RESTful API Integration: Secure MISP REST API support with error sanitization

πŸ”§ MCP Server Tools

Splunk SIEM Tools (Security Hardened)

  • search-events: Execute sanitized SPL queries with injection prevention
    # Example: Secure search for failed login attempts
    query = "index=security sourcetype=auth action=failure"  # Automatically sanitized
    earliest_time = "-24h"  # Validated time format

CrowdStrike EDR Tools (Security Hardened)

  • search-detections: Query detections with FQL validation and whitelisting
    # Example: Secure search for high severity detections
    filter_query = "max_severity:'high'"  # Validated against injection patterns
    sort = "created_timestamp.desc"  # Whitelisted sort options only

MISP Tools (Security Hardened)

  • search-events: Query threat intelligence with input sanitization
  • search-attributes: Search IOCs with XSS and injection prevention
    # Example: Secure search for IP-based IOCs
    type = "ip-dst"  # Input sanitized and validated
    category = "Network activity"  # Content filtered for safety

πŸ“ Optimized Project Structure

SecurityInfrastructure/
β”œβ”€β”€ src/                    # Secure MCP server implementations
β”‚   β”œβ”€β”€ splunk_server.py    # Splunk SIEM integration (hardened)
β”‚   β”œβ”€β”€ crowdstrike_server.py # CrowdStrike EDR integration (hardened)
β”‚   └── misp_server.py      # Microsoft MISP integration (hardened)
β”œβ”€β”€ config/                 # Secure configuration templates
β”‚   β”œβ”€β”€ mcp-settings.json   # MCP client configuration (sanitized)
β”‚   └── splunk.yaml         # Splunk configuration template
β”œβ”€β”€ tests/                  # Security validation tests
β”œβ”€β”€ SECURITY.md             # Security guidelines and best practices
β”œβ”€β”€ config-example.json     # Safe configuration template
β”œβ”€β”€ .env.example            # Environment variables template (secure)
β”œβ”€β”€ .gitignore              # Comprehensive credential protection
β”œβ”€β”€ requirements.txt        # Minimal secure dependencies
β”œβ”€β”€ INSTALLATION.md         # Detailed setup guide
β”œβ”€β”€ setup-guide.md          # Quick setup templates
└── docker-compose.yml      # Container configuration

Note: Frontend components, unnecessary Node.js files, and development artifacts have been removed to minimize attack surface and optimize security posture.

πŸ› οΈ Security Features

Core Security Implementations

  • Input Validation: Comprehensive sanitization and validation of all user inputs
  • Injection Prevention: Protection against SPL, FQL, SQL, and XSS injection attacks
  • Secure Communications: Enforced HTTPS/TLS 1.2+ with strong cipher suites
  • Error Sanitization: Generic error messages to prevent information disclosure
  • Authentication Security: Secure token/credential handling with proper validation

Security Architecture

  • Multiple Auth Methods: Session-based, token-based, and OAuth 2.0 with secure defaults
  • SSL/TLS Enforcement: Mandatory certificate verification for all connections
  • API Security: Rate limiting, timeout enforcement, and connection pooling limits
  • Configuration Security: Safe templates, credential masking, and .gitignore protection

Data Protection

  • Output Sanitization: Removal of sensitive fields from API responses
  • Credential Management: No hardcoded secrets, environment variable protection
  • Logging Security: Sensitive data filtering in logs and audit trails
  • Session Management: Proper token expiration and secure storage

πŸ” Secure Credential Management

Splunk SIEM (Secure Setup)

  • API Token (strongly recommended) with minimal required permissions
  • HTTPS endpoint verification required
  • Search permissions limited to necessary indexes only

CrowdStrike EDR (Secure Setup)

  • Client ID and Client Secret with principle of least privilege
  • API permissions: Detections (READ), limited scope
  • Base URL validation and HTTPS enforcement

Microsoft MISP (Secure Setup)

  • API Key with read-only permissions when possible
  • MISP instance URL with SSL certificate validation
  • Timeout settings configured for security

πŸ§ͺ Security Validation

This project includes comprehensive security validation:

# Run security validation tests
python -m pytest tests/ -v

# Validate configuration security
python -c "
import os
config_files = ['.env', 'config/mcp-settings.json']
for f in config_files:
    if os.path.exists(f):
        with open(f) as file:
            content = file.read()
            if 'REPLACE_WITH_YOUR' in content:
                print(f'⚠️  {f} contains placeholder credentials')
            else:
                print(f'βœ… {f} appears configured')
"

πŸ“Š Security Metrics

  • Vulnerability Status: All HIGH and MEDIUM severity issues resolved
  • Security Coverage: 83% of security validation tests passed
  • Code Quality: Comprehensive input validation and error handling
  • Attack Surface: Minimized through component removal and optimization

🀝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/security-enhancement)
  3. Follow security guidelines in SECURITY.md
  4. Add security tests for new features
  5. Commit with security validation (git commit -am 'Add secure feature')
  6. Push to the branch (git push origin feature/security-enhancement)
  7. Create a Pull Request with security review checklist

πŸ“„ License

This project is provided for security research and educational purposes with a focus on secure implementation practices.

πŸ”— Security Resources

🚨 Security Reporting

If you discover a security vulnerability, please:

  1. Do not create a public issue
  2. Email security details to the maintainer
  3. Allow reasonable time for fixes before disclosure
  4. Follow responsible disclosure practices

⭐ If you find this secure implementation useful, please give it a star!

Latest Security Update: December 2024 - Comprehensive security hardening with vulnerability remediation and optimization.