Claude Jester MCP

# Security Policy ## 🛡️ Our Commitment to Security The Claude Desktop MCP Execution project takes security seriously. As a tool that executes code, we implement multiple layers of protection to ensure safe operation while maintaining functionality. This document outlines our security practices, reporting procedures, and the measures we take to protect users. ## 🔒 Security Features ### Multi-Layer Sandboxing Our execution environment employs multiple security strategies: 1. **RestrictedPython**: Compile-time restrictions on dangerous operations 2. **ASTeval**: Mathematical expression evaluation with limited scope 3. **Subprocess Isolation**: Complete process isolation with resource limits 4. **Basic Sandbox**: Minimal execution environment for simple code ### Resource Protection - **Memory Limits**: Configurable memory restrictions (default: 256MB) - **Execution Timeouts**: Automatic termination of long-running code (default: 10 seconds) - **CPU Limits**: Process-level CPU usage restrictions - **Network Isolation**: No network access in sandboxed environments ### Input Validation - **Code Analysis**: Static analysis to detect dangerous patterns - **Import Filtering**: Whitelist/blacklist for allowed imports - **Pattern Detection**: Recognition of potentially malicious code structures - **Size Limits**: Maximum code length restrictions (50KB) ### Audit and Monitoring - **Execution Logging**: Comprehensive logging of all code executions - **Security Events**: Special logging for security violations - **Performance Monitoring**: Resource usage tracking - **Error Pattern Analysis**: Detection of suspicious activity patterns ## 🚨 Supported Versions We provide security updates for the following versions: | Version | Supported | | ------- | ------------------ | | 1.0.x | ✅ Yes | | 0.9.x | ✅ Until 2024-12-31| | < 0.9 | ❌ No | ## 🔍 Known Security Considerations ### Inherent Risks **Code Execution**: This tool executes user-provided code, which inherently carries security risks. While we implement multiple protection layers, users should: - Never execute untrusted code from unknown sources - Review AI-generated code before production use - Use appropriate access controls in production environments - Regularly update to the latest version **Sandbox Limitations**: No sandbox is 100% secure. Advanced attackers may find ways to escape sandboxes through: - Zero-day vulnerabilities in Python - Exploitation of underlying system vulnerabilities - Social engineering attacks - Side-channel attacks ### Current Limitations 1. **Python-Only Sandboxing**: Multi-language execution may have different security profiles 2. **Dependency Vulnerabilities**: Third-party libraries may contain vulnerabilities 3. **Resource Exhaustion**: Sophisticated attacks might find ways to exhaust system resources 4. **Information Disclosure**: Error messages might reveal system information ## 📢 Reporting Security Vulnerabilities ### Responsible Disclosure Process We encourage responsible disclosure of security vulnerabilities. Please follow these steps: 1. **DO NOT** create public GitHub issues for security vulnerabilities 2. **DO** email security@claude-mcp-project.org with details 3. **DO** provide a clear description and reproduction steps 4. **DO** allow reasonable time for response and fixes ### What to Include in Your Report Please include the following information: - **Vulnerability Type**: Buffer overflow, injection, privilege escalation, etc. - **Affected Components**: Which parts of the system are affected - **Attack Vector**: How the vulnerability can be exploited - **Impact Assessment**: What an attacker could achieve - **Proof of Concept**: Safe demonstration of the vulnerability - **Suggested Fix**: If you have ideas for remediation ### Example Report Template ``` Subject: [SECURITY] Sandbox Escape in CodeExecutor Vulnerability Type: Sandbox Escape Affected Component: src/core/executor.py - RestrictedPython strategy Severity: High Description: A method to escape the RestrictedPython sandbox by... Reproduction Steps: 1. Create code with the following pattern: [safe example] 2. Execute using the RestrictedPython strategy 3. Observe unauthorized access to... Impact: An attacker could gain access to the host system and... Suggested Mitigation: Add additional validation for... Contact: researcher@example.com ``` ## ⚡ Response Timeline We are committed to responding to security reports promptly: - **Initial Response**: Within 48 hours - **Severity Assessment**: Within 7 days - **Fix Development**: Based on severity (see below) - **Public Disclosure**: After fix is available and tested ### Severity Levels and Response Times | Severity | Response Time | Description | |----------|---------------|-------------| | **Critical** | 24-48 hours | Remote code execution, data breach | | **High** | 7 days | Sandbox escape, privilege escalation | | **Medium** | 14 days | Denial of service, information disclosure | | **Low** | 30 days | Minor information leaks, edge cases | ## 🏆 Security Recognition We appreciate security researchers who help improve our project: ### Hall of Fame *Security researchers who have responsibly disclosed vulnerabilities will be listed here with their permission.* ### Bug Bounty Program While we don't currently offer monetary rewards, we provide: - Public recognition (with permission) - Direct communication with the development team - Early access to security features - Contribution credit in releases ## 🔧 Security Best Practices for Users ### For Individual Developers 1. **Keep Updated**: Always use the latest version 2. **Review Code**: Inspect AI-generated code before execution 3. **Limit Permissions**: Run with minimal necessary privileges 4. **Monitor Usage**: Watch for unusual execution patterns 5. **Backup Data**: Regular backups in case of issues ### For Organizations 1. **Access Controls**: Implement proper user access management 2. **Network Segmentation**: Isolate the execution environment 3. **Audit Logging**: Enable comprehensive logging 4. **Security Training**: Train developers on secure AI tool usage 5. **Incident Response**: Have a plan for security incidents ### Configuration Security ```bash # Secure configuration example export MCP_RESTRICTED_MODE=true export MCP_MAX_MEMORY_MB=128 export MCP_MAX_EXEC_TIME=5.0 export MCP_ALLOW_NETWORK=false export MCP_LOG_LEVEL=INFO ``` ## 🔬 Security Testing ### Automated Security Testing Our CI/CD pipeline includes: - **Static Analysis**: Bandit security linting - **Dependency Scanning**: Safety vulnerability checks - **Container Scanning**: Docker image security analysis - **Fuzzing Tests**: Automated input fuzzing - **Penetration Testing**: Regular security assessments ### Manual Security Reviews - **Code Reviews**: Security-focused code review process - **Architecture Reviews**: Security assessment of design changes - **Threat Modeling**: Regular threat modeling exercises - **Red Team Exercises**: Simulated attack scenarios ### Running Security Tests ```bash # Run security test suite pytest tests/security/ # Static security analysis bandit -r src/ # Dependency vulnerability check safety check # Custom security tests python tests/security/test_sandbox_escape.py python tests/security/test_resource_limits.py python tests/security/test_injection_attacks.py ``` ## 🛠️ Incident Response ### Security Incident Classification **P0 - Critical**: Active exploitation, data breach, system compromise **P1 - High**: Confirmed vulnerability with high impact **P2 - Medium**: Confirmed vulnerability with medium impact **P3 - Low**: Minor security issues or potential vulnerabilities ### Response Process 1. **Detection**: Automated monitoring or user report 2. **Assessment**: Severity and impact evaluation 3. **Containment**: Immediate measures to limit damage 4. **Investigation**: Root cause analysis 5. **Resolution**: Fix development and deployment 6. **Recovery**: System restoration and validation 7. **Lessons Learned**: Process improvement ### Communication Plan - **Internal**: Immediate notification to development team - **Users**: Security advisory for affected users - **Public**: CVE filing and public disclosure (after fix) ## 📊 Security Metrics We track and monitor: - **Vulnerability Discovery Rate**: Time from introduction to detection - **Response Time**: Time from report to fix - **Fix Quality**: Regression rate for security fixes - **Attack Surface**: Monitoring of exposed functionality - **User Security**: Adoption of security best practices ## 🔮 Future Security Enhancements ### Planned Improvements 1. **Enhanced Sandboxing**: WebAssembly-based isolation 2. **Runtime Monitoring**: Advanced behavioral analysis 3. **Machine Learning**: AI-powered threat detection 4. **Hardware Security**: Intel SGX or ARM TrustZone integration 5. **Formal Verification**: Mathematical proof of security properties ### Research Areas - **Quantum-Safe Cryptography**: Preparing for quantum computing threats - **Zero-Trust Architecture**: Never trust, always verify principles - **Confidential Computing**: Protecting data in use - **Supply Chain Security**: Securing the entire development pipeline ## 📞 Contact Information ### Security Team - **Email**: security@claude-mcp-project.org - **PGP Key**: [Download public key](https://claude-mcp-project.org/security.asc) - **Matrix**: @security:claude-mcp-project.org ### General Security Questions For non-vulnerability security questions: - **Discord**: #security channel in our [Discord server](https://discord.gg/claude-mcp) - **GitHub Discussions**: [Security category](https://github.com/your-username/claude-desktop-mcp-execution/discussions/categories/security) ## 📝 Security Policy Updates This security policy is reviewed quarterly and updated as needed. Major changes will be announced through: - GitHub release notes - Security mailing list - Discord announcements - Project documentation **Last Updated**: December 2024 **Next Review**: March 2025 --- ## ⚖️ Legal and Compliance ### Compliance Standards This project aims to comply with: - **OWASP Top 10**: Web application security risks - **CWE Top 25**: Most dangerous software weaknesses - **NIST Cybersecurity Framework**: Security best practices - **SOC 2 Type II**: Security and availability controls ### Privacy Considerations - **Code Privacy**: Executed code is not permanently stored - **Error Logging**: Error messages may contain code snippets - **Analytics**: Usage patterns are collected for improvement - **Third-Party Services**: Some features may use external services ### Disclaimer While we implement comprehensive security measures, users acknowledge that: 1. No security system is 100% secure 2. Users are responsible for reviewing AI-generated code 3. This tool should not be used for critical infrastructure without additional safeguards 4. Security is a shared responsibility between the project and users --- **Remember**: Security is everyone's responsibility. Help us keep the Claude Desktop MCP Execution project secure for all users.