• Supported Versions
• Reporting a Vulnerability
• Security Best Practices
• Security Features
• Security Monitoring
• Incident Response
• Compliance
• Training
• Updates
• Contact

This document outlines the security policies and procedures for LlamaHome. It includes information on supported versions, reporting vulnerabilities, security best practices, and incident response processes.

Use this section to tell people about which versions of your project are currently being supported with security updates.

We take the security of LlamaHome seriously. If you believe you have found a security vulnerability, please report it to us as described below.

1. DO NOT create a public GitHub issue for the vulnerability.
2. Email your findings to [INSERT SECURITY EMAIL].
3. Provide detailed information about the vulnerability:
   • Description of the issue
   • Steps to reproduce
   • Potential impact
   • Suggested fix (if any)

1. Initial Response: Within 24 hours
2. Status Update: Within 72 hours
3. Resolution Timeline: Typically within 7-14 days

1. Security issue is reported
2. Issue is confirmed and prioritized
3. Fix is developed and tested
4. Security advisory is prepared
5. Fix is deployed and announced

1. Authentication

   • Use strong passwords
   • Enable two-factor authentication
   • Regularly rotate credentials
   • Never share API keys

2. API Security

   • Use HTTPS for all API calls
   • Implement proper rate limiting
   • Validate all input
   • Handle errors securely

3. Data Protection

   • Encrypt sensitive data
   • Regularly backup data
   • Implement access controls
   • Monitor access logs

1. Code Security

   # Good: Input validation
   def process_input(data: str) -> str:
       """Process user input safely."""
       if not isinstance(data, str):
           raise ValueError("Input must be string")
       return sanitize_input(data)
   
   # Bad: No input validation
   def process_input(data):
       return data.strip()

2. Authentication Implementation

   # Good: Secure token validation
   def validate_token(token: str) -> bool:
       """Validate authentication token."""
       try:
           payload = jwt.decode(
               token,
               secret_key,
               algorithms=["HS256"]
           )
           return verify_payload(payload)
       except jwt.InvalidTokenError:
           return False

3. Error Handling

   # Good: Secure error handling
   def handle_error(error: Exception) -> Response:
       """Handle errors securely."""
       logger.error(f"Error: {error}")
       return Response(
           status="error",
           message="An error occurred",
           code=500
       )

1. Token-based Authentication

   class AuthHandler:
       """Handle authentication."""
       
       def create_token(
           self,
           user_id: str,
           expires_in: int = 3600
       ) -> str:
           """Create authentication token."""
           return generate_secure_token(user_id, expires_in)

2. Role-based Access Control

   class AccessControl:
       """Control access to resources."""
       
       def check_permission(
           self,
           user: User,
           resource: str,
           action: str
       ) -> bool:
           """Check user permissions."""
           return user.has_permission(resource, action)

1. Encryption

   class DataEncryption:
       """Handle data encryption."""
       
       def encrypt_data(
           self,
           data: bytes,
           key: bytes
       ) -> bytes:
           """Encrypt sensitive data."""
           return encrypt_with_key(data, key)

2. Secure Storage

   class SecureStorage:
       """Handle secure data storage."""
       
       def store_securely(
           self,
           data: Dict[str, Any],
           user_id: str
       ) -> None:
           """Store data securely."""
           encrypted = self.encrypt(data)
           self.store(user_id, encrypted)

1. Security Events

   class SecurityLogger:
       """Log security events."""
       
       def log_security_event(
           self,
           event_type: str,
           details: Dict[str, Any]
       ) -> None:
           """Log security event."""
           logger.security(
               event_type,
               extra=details
           )

2. Audit Trail

   class AuditTrail:
       """Maintain audit trail."""
       
       def record_action(
           self,
           user: User,
           action: str,
           resource: str
       ) -> None:
           """Record user action."""
           self.store_audit_record(user, action, resource)

1. Initial Response

   • Assess incident severity
   • Contain the incident
   • Notify affected parties
   • Begin investigation

2. Investigation

   • Collect evidence
   • Analyze impact
   • Identify root cause
   • Document findings

3. Resolution

   • Implement fix
   • Test solution
   • Deploy updates
   • Monitor effects

1. System Recovery

   • Restore from backups
   • Verify data integrity
   • Test functionality
   • Resume operations

2. Post-Incident

   • Document lessons learned
   • Update procedures
   • Improve monitoring
   • Train team members

1. Data Protection

   • GDPR compliance
   • CCPA compliance
   • HIPAA compliance
   • PCI DSS compliance

2. Security Standards

   • OWASP guidelines
   • NIST framework
   • ISO 27001
   • SOC 2

1. Developer Training

   • Secure coding practices
   • Vulnerability assessment
   • Security testing
   • Incident response

2. User Training

   • Security awareness
   • Password management
   • Data protection
   • Incident reporting

This security policy will be updated as needed. Major changes will be announced through:

1. Security advisories
2. Release notes
3. Documentation updates
4. Community announcements

For security concerns, contact:

• Security Email: [INSERT EMAIL]
• Security Team: [INSERT CONTACT]
• Emergency Contact: [INSERT EMERGENCY CONTACT]

Remember: Security is everyone's responsibility. Stay vigilant and report any concerns promptly.

We use several automated tools to ensure code security:

Our Trunk configuration includes security-focused tools:

• trufflehog: Scans for secrets and sensitive data

  • Runs on all PRs and pushes
  • Ignores test files and documentation
  • Configured to detect various token formats

• bandit: Python security linter

  • Checks for common security issues
  • Custom rules for our codebase
  • Integrated with CI/CD

• git-diff-check: Prevents accidental commits of sensitive data

  • Runs pre-commit
  • Checks for large binary files
  • Validates line endings

See .trunk/README.md for security tool configuration.