# Security Policy
## 🔒 Supported Versions
We actively maintain and provide security updates for the following versions of Chess Vector Engine:
| 0.1.x | ✅ Yes | TBD |
| < 0.1 | ❌ No | - |
## 🚨 Reporting a Vulnerability
**Please do not report security vulnerabilities through public GitHub issues.**
### For Security Issues
If you discover a security vulnerability, please send an email to:
**security@chessvector.ai**
Include the following information in your report:
1. **Description** - A clear description of the vulnerability
2. **Impact** - Potential impact and attack scenarios
3. **Reproduction** - Step-by-step instructions to reproduce the issue
4. **Environment** - Version, operating system, and relevant configuration
5. **Proof of Concept** - If available, include code or screenshots
### What to Expect
- **Acknowledgment** - We'll acknowledge receipt within 24 hours
- **Initial Assessment** - We'll provide an initial assessment within 72 hours
- **Updates** - We'll keep you informed of our progress throughout the process
- **Resolution** - We aim to resolve critical issues within 7 days
### Responsible Disclosure
We follow responsible disclosure practices:
1. **Investigation** - We'll investigate and validate the report
2. **Fix Development** - We'll develop and test a fix
3. **Coordinated Release** - We'll coordinate release timing with you
4. **Public Disclosure** - We'll publicly disclose after the fix is available
5. **Credit** - We'll credit you in our security advisory (if desired)
## 🛡️ Security Considerations
### Open-Core Architecture
Chess Vector Engine uses an open-core business model with different security considerations for each tier:
#### 🆓 Open Source Components
- **Code Transparency** - All open source code is publicly auditable
- **Community Review** - Security issues can be reported by anyone
- **Standard Protections** - Standard Rust memory safety guarantees
#### 💎 Premium Components
- **License Verification** - Robust license validation system
- **Feature Gating** - Runtime protection against unauthorized feature access
- **Network Security** - Secure license server communication
#### 🏢 Enterprise Components
- **Enhanced Security** - Additional security measures for enterprise environments
- **Audit Trails** - Comprehensive logging and monitoring
- **Compliance** - Meets enterprise security standards
### Common Security Areas
#### Memory Safety
- **Rust Language** - Inherent memory safety protections
- **Unsafe Code** - Limited and carefully reviewed unsafe blocks
- **Dependencies** - Regular security audits of dependencies
#### Input Validation
- **FEN Parsing** - Robust validation of chess position strings
- **UCI Protocol** - Proper validation of UCI commands
- **Training Data** - Validation of external training data formats
#### Network Security
- **TLS Encryption** - All network communications use TLS
- **Certificate Validation** - Proper certificate validation
- **Rate Limiting** - Protection against abuse
#### License System Security
- **Key Validation** - Cryptographic validation of license keys
- **Offline Verification** - Secure offline license verification
- **Tamper Protection** - Protection against license tampering
## 🔧 Security Best Practices
### For Users
#### Installation Security
```bash
# Verify package integrity
cargo install chess-vector-engine --locked
# Or build from source
git clone https://github.com/chessvector/chess-vector-engine
cd chess-vector-engine
git verify-commit HEAD # If using signed commits
cargo build --release
```
#### Runtime Security
- **Principle of Least Privilege** - Run with minimal required permissions
- **Isolated Environment** - Consider containerization for production use
- **Input Validation** - Validate all external inputs (FEN strings, PGN files)
- **Resource Limits** - Set appropriate memory and CPU limits
#### License Security
- **Secure Storage** - Store license keys securely
- **Network Security** - Use secure networks for license verification
- **Key Rotation** - Regularly rotate license keys if supported
### For Developers
#### Code Security
```rust
// Always validate external inputs
fn parse_fen(fen: &str) -> Result<Board, ChessError> {
// Comprehensive FEN validation
if fen.len() > MAX_FEN_LENGTH {
return Err(ChessError::InvalidFen("FEN too long".to_string()));
}
// ... additional validation
}
// Use secure random number generation
use rand::thread_rng;
let mut rng = thread_rng();
```
#### Dependency Security
```bash
# Regular security audits
cargo audit
# Update dependencies regularly
cargo update
# Check for known vulnerabilities
cargo deny check
```
## 🚨 Known Security Considerations
### Current Limitations
1. **Training Data Trust** - The engine trusts training data integrity
- **Mitigation**: Validate training data sources
- **Future**: Implement training data signing
2. **Network Dependency** - License verification requires network access
- **Mitigation**: Offline verification available
- **Future**: Enhanced offline capabilities
3. **Resource Consumption** - Large datasets can consume significant resources
- **Mitigation**: Implement resource limits
- **Future**: Better resource management
### Attack Vectors
#### Malicious Training Data
- **Risk**: Crafted training data could affect engine behavior
- **Mitigation**: Validate training data sources and formats
- **Detection**: Monitor for unusual engine behavior
#### Resource Exhaustion
- **Risk**: Large inputs could cause memory or CPU exhaustion
- **Mitigation**: Implement input size limits and timeouts
- **Detection**: Monitor resource usage patterns
#### License Bypass Attempts
- **Risk**: Attempts to bypass license verification
- **Mitigation**: Robust license validation and tamper detection
- **Detection**: Monitor for license validation failures
## 📋 Security Checklist
### For Production Deployment
- [ ] **Environment Security**
- [ ] Run in isolated environment (container/VM)
- [ ] Apply principle of least privilege
- [ ] Configure appropriate resource limits
- [ ] Enable logging and monitoring
- [ ] **Network Security**
- [ ] Use TLS for all network communications
- [ ] Validate certificates properly
- [ ] Implement rate limiting
- [ ] Use firewall rules to restrict access
- [ ] **Input Validation**
- [ ] Validate all external inputs (FEN, PGN, training data)
- [ ] Implement input size limits
- [ ] Sanitize file paths
- [ ] Validate license keys
- [ ] **Monitoring and Logging**
- [ ] Enable comprehensive logging
- [ ] Monitor for security events
- [ ] Set up alerting for anomalies
- [ ] Regular security audits
## 🏆 Security Hall of Fame
We appreciate security researchers who help keep Chess Vector Engine secure:
*No security issues have been reported yet.*
## 📞 Contact Information
- **Security Email**: security@chessvector.ai
- **General Contact**: hello@chessvector.ai
- **Website**: https://chessvector.ai
## 📝 Security Policy Updates
This security policy is regularly reviewed and updated. Last updated: 2024-12-22
For the most current version of this policy, please check:
https://github.com/chessvector/chess-vector-engine/blob/main/SECURITY.md