# Security Policy ## 🛡️ **Our Security Commitment** The c77_secure_db extension is designed with security as the primary concern. This document outlines our security policies, vulnerability reporting procedures, and the security architecture of the extension. ## 🚨 **Reporting Security Vulnerabilities** ### **Please DO NOT report security vulnerabilities through public GitHub issues.** If you discover a security vulnerability in c77_secure_db, please report it responsibly: ### **Preferred Reporting Method** - **Email**: [security@yourcompany.com](mailto:security@yourcompany.com) - **Subject**: `[SECURITY] c77_secure_db Vulnerability Report` - **Encryption**: Use our PGP key if possible (key ID: YOUR_PGP_KEY_ID) ### **What to Include** 1. **Description**: Clear description of the vulnerability 2. **Steps to Reproduce**: Detailed steps to reproduce the issue 3. **Impact Assessment**: Your assessment of the potential impact 4. **Proof of Concept**: If available, a proof-of-concept (responsibly disclosed) 5. **Suggested Fix**: If you have ideas for remediation 6. **Contact Information**: How we can reach you for follow-up ### **Response Timeline** - **Initial Response**: Within 24 hours of report - **Vulnerability Assessment**: Within 72 hours - **Fix Development**: Timeline varies based on severity - **Security Advisory**: Published after fix is available ### **Responsible Disclosure** We request that you: - Give us reasonable time to address the issue before public disclosure - Avoid accessing or modifying data that doesn't belong to you - Don't perform actions that could harm the availability of the service - Only test against your own installations ## 🔐 **Security Architecture** ### **Multi-Layer Security Model** c77_secure_db implements defense-in-depth with multiple security layers: #### **Layer 1: Trigger Protection** - **Purpose**: Prevent all direct database modifications - **Mechanism**: PostgreSQL triggers on all protected tables - **Coverage**: INSERT, UPDATE, DELETE operations - **Bypass Prevention**: Cannot be disabled without superuser access #### **Layer 2: Token Authorization** - **Purpose**: Authorize legitimate operations - **Mechanism**: Short-lived, single-use authorization tokens - **Token Lifespan**: 5 seconds maximum - **Session Binding**: Tokens tied to specific database sessions - **Replay Prevention**: Single-use tokens prevent replay attacks #### **Layer 3: Content Integrity** - **Purpose**: Detect unauthorized data modifications - **Mechanism**: SHA-256 cryptographic hashing - **Coverage**: All business data (excluding system columns) - **Verification**: On-demand and scheduled integrity checks #### **Layer 4: Audit Trail** - **Purpose**: Complete operation logging for forensics - **Coverage**: All secure operations, successes and failures - **Retention**: Configurable retention periods for compliance - **Immutability**: Audit logs protected by same security layers #### **Layer 5: Access Control (Optional)** - **Purpose**: Role-based permission enforcement - **Integration**: c77_rbac extension for advanced permissions - **Granularity**: Feature-based and scope-based access control - **Fallback**: Secure operation without RBAC if not available ### **Threat Model** #### **Threats Mitigated** | Threat Category | Mitigation Strategy | Security Layer | |----------------|-------------------|----------------| | **SQL Injection** | Trigger protection blocks direct SQL | Layer 1 | | **Application Bypass** | Token validation required for all operations | Layer 2 | | **Data Tampering** | Content hash verification detects changes | Layer 3 | | **Replay Attacks** | Single-use, time-limited tokens | Layer 2 | | **Session Hijacking** | Session-specific token binding | Layer 2 | | **Privilege Escalation** | Controlled function execution with SECURITY DEFINER | All Layers | | **Audit Log Tampering** | Audit data protected by same security layers | Layer 4 | | **Unauthorized Access** | RBAC integration with scope-based permissions | Layer 5 | #### **Assumptions** Our security model assumes: - PostgreSQL superuser access is properly controlled - Database network communication is encrypted (TLS) - Application servers are reasonably secure - System administrators follow security best practices - Regular security updates are applied #### **Known Limitations** - **PostgreSQL Superuser**: Can bypass all protections (by design) - **Physical Access**: Direct file system access can compromise data - **Memory Dumps**: Active tokens might be visible in memory dumps - **Time Synchronization**: Token expiration depends on accurate system time - **Extension Dependencies**: Security depends on pgcrypto extension integrity ### **Cryptographic Details** #### **Content Hashing** - **Algorithm**: SHA-256 - **Input**: Sorted key-value pairs of business data - **Salt**: None (deterministic hashing for verification) - **Exclusions**: System columns (timestamps, hashes, etc.) - **Performance**: Optimized for production workloads #### **Token Generation** - **Source**: PostgreSQL's `gen_random_uuid()` function - **Entropy**: Based on system randomness - **Format**: UUID v4 standard - **Storage**: Temporary database table with automatic cleanup ## 🔒 **Security Controls** ### **Access Controls** #### **Installation Requirements** - **Superuser Required**: Initial installation requires PostgreSQL superuser - **Post-Installation**: Regular users can operate with granted roles #### **Runtime Permissions** - **c77_secure_db_readonly**: Read-only operations (freshness checks, health monitoring) - **c77_secure_db_user**: Standard secure operations (insert, update, delete) - **c77_secure_db_admin**: Administrative functions (hash verification, schema management) #### **RBAC Integration** - **Optional**: Works with or without c77_rbac extension - **Granular**: Feature-based permissions (secure_db_insert, secure_db_update, etc.) - **Scoped**: Department, region, or custom scope-based access - **Audited**: All RBAC decisions logged in audit trail ### **Data Protection** #### **Data at Rest** - **Database Files**: Protected by PostgreSQL's standard file permissions - **Hash Storage**: Content hashes stored alongside data in same security context - **Audit Logs**: Subject to same database security as operational data - **Tokens**: Automatically purged expired tokens (default: daily cleanup) #### **Data in Transit** - **Application to Database**: Use PostgreSQL TLS connections - **Token Transmission**: Tokens transmitted via secure database session - **Audit Data**: Logged locally within database, no network transmission #### **Data Processing** - **Hash Calculation**: Performed within database using pgcrypto - **Token Validation**: Atomic database operations with automatic cleanup - **Operation Logging**: Immediate logging within same transaction context ### **Monitoring and Alerting** #### **Security Monitoring** ```sql -- Key security metrics to monitor SELECT 'Error Rate' as metric, count(*) FILTER (WHERE success = false)::numeric / count(*) * 100 as percentage FROM c77_secure_db_operation_audit WHERE created_at > now() - interval '1 hour'; -- Token anomalies SELECT count(*) as active_tokens FROM c77_secure_db_auth_tokens WHERE expires_at > now(); -- Unusual access patterns SELECT user_name, count(*) as operations FROM c77_secure_db_operation_audit WHERE created_at > now() - interval '1 hour' GROUP BY user_name HAVING count(*) > 100; ``` #### **Recommended Alerts** - **Error Rate > 5%**: Indicates potential security issues or attacks - **Active Tokens > 100**: May indicate token cleanup problems - **Hash Mismatches**: Critical security alert requiring immediate investigation - **Off-Hours Activity**: Unusual activity outside business hours - **Repeated Failures**: Multiple failed operations from same user ## 🔄 **Security Update Process** ### **Severity Classification** #### **Critical (CVSS 9.0-10.0)** - **Timeline**: Patch within 24-48 hours - **Examples**: Authentication bypass, data corruption, privilege escalation - **Response**: Emergency release, immediate security advisory #### **High (CVSS 7.0-8.9)** - **Timeline**: Patch within 1 week - **Examples**: Information disclosure, denial of service - **Response**: Priority release, security advisory #### **Medium (CVSS 4.0-6.9)** - **Timeline**: Patch within 30 days - **Examples**: Less severe information disclosure, limited DoS - **Response**: Regular release cycle, documented in changelog #### **Low (CVSS 0.1-3.9)** - **Timeline**: Next regular release - **Examples**: Minor information disclosure, edge cases - **Response**: Standard release process ### **Update Distribution** #### **Security Advisories** - **Format**: GitHub Security Advisories - **Content**: CVE ID, affected versions, mitigation steps, upgrade instructions - **Distribution**: GitHub, mailing list, website #### **Patch Releases** - **Naming**: Increment patch version (e.g., 2.0 → 2.0.1) - **Content**: Security fixes only, minimal functional changes - **Testing**: Automated security test suite must pass - **Backwards Compatibility**: Maintained unless security requires breaking changes #### **Upgrade Instructions** ```sql -- Security update process -- 1. Backup your database pg_dump your_database > backup_before_security_update.sql -- 2. Install new extension files sudo cp c77_secure_db--2.0.1.sql $(pg_config --sharedir)/extension/ -- 3. Update extension ALTER EXTENSION c77_secure_db UPDATE TO '2.0.1'; -- 4. Verify security update SELECT c77_secure_db_run_all_tests(); -- Must return: "overall_status": "ALL_TESTS_PASSED" -- 5. Check health after update SELECT c77_secure_db_health_check(); ``` ## 📋 **Compliance and Standards** ### **Security Standards Alignment** #### **NIST Cybersecurity Framework** - **Identify**: Asset inventory, risk assessment procedures - **Protect**: Access controls, data security, protective technology - **Detect**: Security monitoring, anomaly detection - **Respond**: Incident response procedures, forensic capabilities - **Recover**: Recovery planning, backup and restore procedures #### **OWASP Guidelines** - **A01 Broken Access Control**: Prevented by trigger protection and RBAC - **A02 Cryptographic Failures**: SHA-256 hashing with proper implementation - **A03 Injection**: SQL injection prevented by trigger layer - **A08 Software Integrity Failures**: Content hash verification - **A09 Security Logging**: Comprehensive audit trail #### **Database Security Best Practices** - **Principle of Least Privilege**: Granular role-based permissions - **Defense in Depth**: Multiple security layers - **Audit Logging**: Complete operation trail - **Data Integrity**: Cryptographic verification - **Access Controls**: Authentication and authorization ### **Regulatory Considerations** #### **HIPAA (Healthcare)** - **Administrative Safeguards**: Access management, audit procedures - **Physical Safeguards**: Database server protection (external to extension) - **Technical Safeguards**: Access controls, audit logs, data integrity #### **SOX (Financial)** - **Internal Controls**: Automated security controls, segregation of duties - **Audit Trail**: Complete transaction logging with timestamps - **Data Integrity**: Hash verification for financial data #### **GDPR (Privacy)** - **Data Protection**: Encryption at rest and in transit (implementation-dependent) - **Audit Requirements**: Complete processing logs - **Right to Deletion**: Secure deletion capabilities (soft delete support) ## 🔍 **Security Testing** ### **Automated Security Tests** The extension includes comprehensive security tests: ```sql -- Run complete security test suite SELECT c77_secure_db_run_all_tests(); -- Specific security tests SELECT c77_secure_db_test_security(); -- RBAC integration tests SELECT c77_secure_db_test_rbac_integration(); ``` #### **Test Coverage** - **Bypass Prevention**: Attempts to circumvent trigger protection - **Token Security**: Token expiration, single-use validation, session binding - **Hash Integrity**: Content hash calculation and verification - **RBAC Integration**: Permission enforcement, scope validation - **Error Handling**: Security-relevant error conditions - **Performance**: Security overhead measurement ### **Security Validation Requirements** #### **Pre-Release Testing** - [ ] All security tests pass with 100% success rate - [ ] No bypass vulnerabilities identified - [ ] Performance impact within acceptable limits - [ ] RBAC integration functions correctly - [ ] Error handling doesn't leak sensitive information - [ ] Audit logging captures all required events #### **Production Deployment Validation** ```sql -- Mandatory post-deployment security check DO $ DECLARE v_test_results jsonb; BEGIN -- Run security tests SELECT c77_secure_db_run_all_tests() INTO v_test_results; -- Verify all tests passed IF (v_test_results->>'overall_status') != 'ALL_TESTS_PASSED' THEN RAISE EXCEPTION 'DEPLOYMENT FAILED: Security tests did not pass. Status: %', v_test_results->>'overall_status' USING HINT = 'Do not use in production until all security tests pass'; END IF; RAISE NOTICE 'Security validation passed - extension ready for production use'; END $; ``` ## 🚨 **Incident Response** ### **Security Incident Classifications** #### **P0 - Critical Security Breach** - **Definition**: Active exploitation, data compromise, or system compromise - **Response Time**: Immediate (< 1 hour) - **Actions**: - Isolate affected systems - Preserve forensic evidence - Notify security team and management - Begin incident response procedures #### **P1 - High Security Risk** - **Definition**: Vulnerability discovered, attempted exploitation, or suspicious activity - **Response Time**: Within 4 hours - **Actions**: - Assess impact and risk - Implement temporary mitigations - Begin patch development - Monitor for exploitation attempts #### **P2 - Medium Security Issue** - **Definition**: Lower-risk vulnerability or security concern - **Response Time**: Within 24 hours - **Actions**: - Document and prioritize - Plan remediation - Schedule fix in next release cycle ### **Forensic Capabilities** #### **Audit Trail Analysis** ```sql -- Incident investigation queries -- Identify suspicious activity patterns SELECT user_name, operation_type, count(*) as frequency, min(created_at) as first_occurrence, max(created_at) as last_occurrence, array_agg(DISTINCT error_message) FILTER (WHERE success = false) as errors FROM c77_secure_db_operation_audit WHERE created_at BETWEEN 'incident_start_time' AND 'incident_end_time' GROUP BY user_name, operation_type ORDER BY frequency DESC; -- Hash verification for tampered data SELECT c77_secure_db_verify_content_hashes('affected_schema', 'affected_table'); -- Token analysis during incident window SELECT session_id, operation_type, count(*) as token_count, min(created_at) as first_token, max(expires_at) as last_expiry FROM c77_secure_db_auth_tokens WHERE created_at BETWEEN 'incident_start_time' AND 'incident_end_time' GROUP BY session_id, operation_type; ``` #### **Evidence Preservation** - **Audit Logs**: Immutable record of all operations - **Hash Values**: Cryptographic proof of data state - **Token Records**: Authorization trail for forensic analysis - **System Logs**: PostgreSQL logs with detailed operation information ## 📞 **Security Contacts** ### **Security Team** - **Primary Contact**: security@yourcompany.com - **Response Time**: 24 hours maximum - **Escalation**: Available for critical issues ### **Development Team** - **Technical Contact**: developers@yourcompany.com - **Availability**: Business hours - **Expertise**: Extension architecture and implementation ### **Emergency Contacts** - **After Hours**: emergency@yourcompany.com - **Critical Issues**: Available 24/7 - **Response**: Within 1 hour for P0 incidents ## 📚 **Additional Resources** ### **Security Documentation** - **[BEST_PRACTICES.md](BEST_PRACTICES.md)**: Comprehensive security best practices - **[USAGE.md](USAGE.md)**: Security-focused usage examples - **[EXAMPLES.md](EXAMPLES.md)**: Secure implementation patterns ### **External Resources** - **PostgreSQL Security**: https://www.postgresql.org/docs/current/security.html - **OWASP Database Security**: https://owasp.org/www-project-database-security/ - **NIST Cybersecurity Framework**: https://www.nist.gov/cyberframework ### **Security Tools** - **pgaudit**: PostgreSQL auditing extension - **pg_stat_statements**: Query performance and security monitoring - **log_statement**: PostgreSQL statement logging for security analysis --- ## 📄 **Security Policy Updates** This security policy is reviewed quarterly and updated as needed to reflect: - New threats and vulnerabilities - Changes in security best practices - Updates to compliance requirements - Lessons learned from security incidents **Last Updated**: January 2025 **Next Review**: April 2025 **Version**: 2.0