The security of the MCP Windows Automation Server is our top priority. This document outlines our security policies, vulnerability reporting procedures, and security best practices.

We provide security updates for the following versions:

If you discover a security vulnerability, please follow responsible disclosure:

• Primary: mukuljangra5@gmail.com
• GitHub: Create a private security advisory
• Alternative: Direct message to @mukul975

When reporting a security vulnerability, please include:

1. Description: Clear description of the vulnerability
2. Impact: Potential impact and affected components
3. Reproduction: Step-by-step reproduction instructions
4. Environment: OS version, Python version, affected MCP server version
5. Evidence: Screenshots, logs, or proof-of-concept (if safe)
6. Suggested Fix: If you have ideas for remediation

• Acknowledgment: Within 24 hours
• Initial Assessment: Within 72 hours
• Status Updates: Every 7 days until resolution
• Fix Release: Critical issues within 7 days, others within 30 days

• Command Filtering: Dangerous commands blocked by default
• Permission Validation: Administrative actions require explicit approval
• Input Sanitization: All user inputs validated and sanitized
• Resource Limits: Protection against resource exhaustion
• Audit Logging: Complete activity logging for security monitoring
• Safe Mode: Restricted mode for testing and evaluation

• Principle of Least Privilege: Tools request minimal required permissions
• Defense in Depth: Multiple layers of security controls
• Fail Secure: System fails to secure state when errors occur
• Regular Updates: Automated dependency vulnerability scanning
• Code Review: All changes undergo security review

The following operations require special attention:

• System Command Execution: Direct system command access
• Registry Modifications: Windows registry read/write operations
• File System Access: File creation, deletion, and modification
• Network Operations: Outbound connections and data transmission
• Process Management: Starting, stopping, and monitoring processes
• UI Automation: Automated user interface interactions

• Local System Only: No remote code execution capabilities
• User Context: Runs under current user privileges only
• No Privilege Escalation: Cannot elevate system privileges
• Sandboxed Execution: Operations run in controlled environment
• Auditable Actions: All actions are logged and traceable

{
  "security": {
    "safe_mode": false,
    "require_confirmation": true,
    "audit_logging": true,
    "command_filtering": true,
    "resource_limits": true,
    "permission_validation": true
  }
}

• Network Isolation: Consider network isolation for sensitive environments
• User Permissions: Run with appropriate user account permissions
• System Monitoring: Monitor system for unusual activity
• Regular Updates: Keep all dependencies updated
• Backup Strategy: Regular backups of configuration and data

• User-based: Each user has separate configuration and data
• Permission Model: Granular permissions for different tool categories
• Session Management: Secure session handling for AI integrations
• API Security: Secure API endpoints with proper authentication

• MCP Protocol: Uses secure Model Context Protocol standards
• Data Privacy: No sensitive data transmitted to AI services
• Local Processing: ML features process data locally only
• Opt-out Available: All AI features can be disabled

• Action Logging: All tool executions logged with timestamps
• User Activity: User interaction patterns and system access
• Error Tracking: Security-related errors and exceptions
• System Events: Windows event log integration

• Log Analysis: Regular review of audit logs
• Anomaly Detection: Monitor for unusual usage patterns
• Performance Monitoring: Watch for resource consumption anomalies
• Network Monitoring: Monitor network connections and data transfer

• Code Review: All code changes reviewed for security issues
• Static Analysis: Automated security scanning of code
• Dependency Scanning: Regular vulnerability scanning of dependencies
• Penetration Testing: Regular security testing and assessment

• Unit Tests: Security-focused unit tests for all tools
• Integration Tests: Security validation in integrated scenarios
• Vulnerability Assessment: Regular security vulnerability assessments
• Compliance Testing: Validation against security standards

• Security Best Practices Guide
• Threat Model Documentation
• Incident Response Plan
• Security Architecture Overview

• OWASP Top 10
• Microsoft Security Development Lifecycle
• Python Security Guidelines
• Windows Security Baseline

We recognize and thank security researchers who help improve our security:

• Responsible Disclosure: Contributors who follow responsible disclosure
• Security Research: Researchers who identify and report vulnerabilities
• Community Contributions: Community members who improve security

This security policy is reviewed and updated regularly:

• Quarterly Reviews: Policy reviewed every 3 months
• Incident-based Updates: Updates after significant security incidents
• Community Feedback: Incorporation of community security feedback
• Compliance Updates: Updates to meet new compliance requirements

For critical security issues requiring immediate attention:

• Emergency Email: mukuljangra5@gmail.com
• Response Time: Within 2 hours during business hours
• Escalation: Direct escalation to project maintainers

We are committed to:

• Transparency: Open communication about security issues
• Responsibility: Taking security seriously and acting quickly
• Collaboration: Working with the security community
• Continuous Improvement: Constantly improving our security posture

Last Updated: 2025-01-19
Version: 2.0
Next Review: 2025-04-19

For general questions about this security policy, please open a GitHub issue with the security label.