The following versions of Causality are currently being supported with security updates:

We take the security of Causality seriously. If you discover a security vulnerability, please follow these steps:

1. DO NOT create a public GitHub issue for security vulnerabilities
2. Email your findings to [email protected] or use GitHub's private vulnerability reporting:
   • Go to the Security tab
   • Click "Report a vulnerability"
   • Provide detailed information about the vulnerability

When reporting a vulnerability, please include:

• Description of the vulnerability and its potential impact
• Steps to reproduce the issue
• Affected components (TCP server, mobile SDK, WASM, analysis engine)
• Version of Causality where the vulnerability was discovered
• Any proof-of-concept code or exploit details
• Your suggested fix or mitigation (if any)

• Initial Response: Within 48 hours of receipt
• Status Update: Within 5 business days
• Resolution Target:
  • Critical vulnerabilities: Within 7 days
  • High severity: Within 14 days
  • Medium/Low severity: Within 30 days

We kindly ask that you:

• Allow us reasonable time to address the issue before public disclosure
• Avoid exploiting the vulnerability beyond what's necessary for verification
• Not access, modify, or delete other users' data
• Not perform actions that could harm the service availability

We appreciate your efforts in keeping Causality secure. Contributors who report valid security issues will be:

• Acknowledged in our security advisories (unless you prefer to remain anonymous)
• Added to our Security Hall of Fame
• Considered for bug bounty rewards (once program is established)

When using Causality in production:

• Always use HTTPS for API endpoints in production
• Implement authentication for client connections
• Use rate limiting to prevent DoS attacks
• Validate all events using Protocol Buffer validation
• Monitor for anomalous request patterns
• Implement request timeouts to prevent resource exhaustion

• Use certificate pinning for server connections
• Encrypt sensitive event data before transmission
• Implement app attestation to verify client integrity
• Store credentials securely using platform keychains
• Obfuscate SDK integration to prevent reverse engineering
• Sign SDK binaries to prevent tampering

• Validate all inputs from JavaScript environment
• Use Content Security Policy headers appropriately
• Implement origin validation for cross-origin requests
• Minimize exposed API surface from WASM module
• Handle memory safely to prevent buffer overflows
• Use SubResource Integrity for WASM file loading

• Sanitize event payloads to prevent injection attacks
• Implement field-level encryption for sensitive data
• Use data retention policies to limit exposure
• Anonymize user identifiers where possible
• Audit event access for compliance
• Implement data classification for different sensitivity levels

• Validate all analysis rules before execution
• Sandbox custom detection algorithms
• Implement resource limits for analysis operations
• Protect ML models from adversarial inputs
• Audit all detection results for false positives
• Secure model updates with signature verification

• Set message size limits to prevent memory exhaustion
• Validate all field values using buf.validate annotations
• Avoid recursive message definitions that could cause stack overflow
• Use field masks to limit data exposure
• Version protocols to maintain backward compatibility
• Document security considerations for each message type

Causality includes several built-in security features:

• Client certificate validation for TCP connections
• API key authentication for SDK clients
• Role-based access control for analysis results
• JWT token support for web clients

• End-to-end encryption for sensitive events
• At-rest encryption for stored events
• Perfect forward secrecy for connections
• Data masking for logs and debugging

• Security event logging for all operations
• Anomaly detection for system behavior
• Audit trails for configuration changes
• Real-time alerting for security incidents

• DDoS protection through rate limiting
• IP allowlisting/blocklisting support
• Geo-blocking capabilities
• Connection throttling per client

• Enable TLS for all connections
• Configure authentication mechanisms
• Set up rate limiting rules
• Review and update dependencies
• Perform security scanning
• Configure security headers
• Set up monitoring and alerting

• Regular security updates
• Continuous vulnerability scanning
• Security log monitoring
• Incident response plan in place
• Regular security audits
• Penetration testing (annually)
• Compliance verification

Causality integrates with common security tools:

• SIEM Integration: Export security events to SIEM systems
• Vulnerability Scanners: Compatible with common scanners
• WAF Support: Works behind Web Application Firewalls
• IDS/IPS: Provides hooks for intrusion detection
• Secret Management: Integrates with vault systems

Causality can be configured to meet various compliance requirements:

• GDPR: Data protection and privacy controls
• HIPAA: Healthcare data security features
• PCI DSS: Payment card industry standards
• SOC 2: Security and availability controls
• ISO 27001: Information security management

For security concerns, contact:

• Email: [email protected]
• GitHub Security Advisories: Report a vulnerability

For general security questions or to discuss security best practices, please use GitHub Discussions.

Security updates and advisories will be posted to:

• GitHub Security Advisories
• Project releases page
• Security mailing list (subscribe via project settings)

Thank you for helping keep Causality and its users safe!