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xnessomGitHubxnessomgoogle-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
fcc520a0bc 🔐 Jules02: Security hardening — Mask secrets in standard logs and audit details (#1179)
* 🔐 Jules02: Security hardening — Mask secrets in standard logs and audit details

- Harden SecretMaskingProcessor to support standard Python logging via logging.Filter.
- Implement narrative detail redaction in AuditLogger.
- Apply global masking filter to root logger in main.py.
- Add comprehensive verification tests for standard logging and audit log masking.

Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com>

* feat: 🔐 Jules02: security hardening — mask secrets in standard logs and audit details

- Implement logging.Filter in SecretMaskingProcessor for standard library log redaction.
- Hardened AuditLogger.log to redact secrets from narrative details.
- Applied global masking filter to root logger in main.py.
- Updated SECURITY_FRAMEWORK.md with new masking documentation.
- Added comprehensive tests and fixed linting violations.

Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com>

---------

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com>
2026-05-14 02:55:08 +00:00

11 KiB

Security Framework: MT5 AI/ML XAUUSD Trading Bot

Executive Summary

Comprehensive security framework addressing data protection, API security, deployment security, credential management, and compliance requirements for a production-grade algorithmic trading system.

1. Data Security

1.1 Encryption Standards

  • In Transit: TLS 1.3 for all network communications
  • At Rest: AES-256 encryption for sensitive data
  • Key Management: AWS KMS or Azure Key Vault for key rotation
  • Database Encryption: Encrypted columns for API keys, account credentials
  • Backup Encryption: All backups encrypted with separate encryption keys

1.2 Data Classification

  • Level 1 (Public): Market data, indicator values, strategy statistics
  • Level 2 (Confidential): Account numbers, trade history, P&L data
  • Level 3 (Restricted): API keys, credentials, private keys, passwords
  • Handling Rules: Access control based on classification level

1.3 Data Retention Policy

  • Trade Data: Retain indefinitely for regulatory compliance
  • System Logs: 90 days hot, 1 year cold storage
  • API Logs: 30 days for debugging, 6 months archived
  • Secure Deletion: Cryptographic erasure for decommissioned data

2. API Security

2.1 Authentication

  • API Key Format: UUID v4 with rotating credentials every 90 days
  • Token-based Auth: OAuth 2.0 for third-party integrations
  • MFA: Required for administrative operations
  • Session Management: 15-minute timeout for inactive sessions
  • Rate Limiting: 1000 requests/minute per API key

2.2 Authorization

  • Role-based Access Control (RBAC): Admin, Trader, Viewer, Auditor roles
  • Granular Permissions: Resource-level access control
  • Principle of Least Privilege: Users only get required permissions
  • API Scopes: Separate scopes for read, write, and admin operations
  • IP Whitelisting: Restrict API access to known IP addresses

2.3 API Hardening

  • Input Validation: Strict schema validation on all endpoints
  • Output Encoding: Prevent XSS through proper encoding
  • SQL Injection Prevention: Parameterized queries, ORM usage
  • CSRF Protection: SameSite cookies, CSRF tokens
  • API Versioning: Maintain backward compatibility with v1, v2 endpoints

3. Credential Management

3.1 Credential Storage

  • No Hardcoding: All credentials stored in secure vault
  • Environment Variables: Use .env with local .gitignore.
  • Type-safe Secrets: Use Pydantic SecretStr for all credentials (MT5, Redis, MetaAPI) to ensure automatic masking in logs and serialization.
  • Unified Masking Filter: A global logging.Filter (SecretMaskingProcessor) intercepts and redacts secrets from standard library logs and narrative audit trail details.
  • Secrets Rotation: Automatic rotation every 30 days
  • Audit Trail: Track all credential access attempts
  • Emergency Access: Break-glass procedure for critical incidents

3.2 API Key Management

  • Key Generation: Cryptographically secure random generation
  • Key Validation: Checksum validation for typos
  • Key Expiration: Optional expiration dates for temporary keys
  • Revocation: Immediate revocation capability
  • Key Versioning: Track multiple active keys per user

3.3 MT5 Credentials

  • Account Password: Never stored in code or logs
  • API Token: Separate from account password
  • Master Password: Required for sensitive operations
  • Recovery Codes: Backup codes for account recovery
  • 2FA: Two-factor authentication mandatory

4. Deployment Security

4.1 Infrastructure Security

  • Network Isolation: Private VPC with NAT gateway
  • Security Groups: Least privilege firewall rules
  • DDoS Protection: CloudFlare or AWS Shield
  • WAF Rules: Web Application Firewall for API endpoints
  • VPN Access: Required for administrative access

4.2 Container Security

  • Image Scanning: Automatic vulnerability scanning
  • Base Images: Use minimal base images (alpine, distroless)
  • Registry Security: Private registry with image signing
  • Runtime Security: Container runtime monitoring
  • Privilege Escalation: No root execution in containers

4.3 Kubernetes Security

  • RBAC: Role-based access control for cluster access
  • Network Policies: Restrict pod-to-pod communication
  • Secrets Management: Use HashiCorp Vault for secrets
  • Pod Security Policies: Enforce security policies
  • Audit Logging: Track all cluster activities

5. Operational Security

5.1 Access Management

  • Account Access: MFA required for all user accounts
  • SSH Keys: ED25519 keys only, 4096-bit RSA minimum
  • Bastion Hosts: Jump servers for infrastructure access
  • VPN Requirements: Required for any infrastructure access
  • Access Reviews: Quarterly access review and cleanup

5.2 Change Management

  • Change Log: Record all production changes
  • Approval Process: At least 2 reviewers for prod changes
  • Testing Environment: Full test cycle before production
  • Rollback Procedure: Automatic rollback on failure
  • Change Windows: Planned maintenance windows

5.3 Incident Response

  • Incident Classification: Severity levels 1-4
  • Response Team: On-call rotation for critical incidents
  • Notification: Stakeholder notification within 1 hour
  • Root Cause Analysis: Complete within 48 hours
  • Post-Incident: Action items tracked and resolved

6. Code Security

6.1 Secure Coding

  • Static Analysis: SonarQube scanning on every commit
  • Safe Deserialization: Enforce weights_only=True for all torch.load calls to prevent remote code execution via malicious model files.
  • Dependency Scanning: OWASP Dependency-Check
  • SAST: Semgrep for Python security rules
  • Code Review: Security-focused peer reviews
  • Security Champions: Trained team members

6.2 Vulnerability Management

  • Scanning: Weekly automated vulnerability scans
  • Patching: Critical patches within 24 hours
  • Dependency Updates: Monthly dependency updates
  • Vulnerability Disclosure: Responsible disclosure policy
  • Bug Bounty: Consider bug bounty program

6.3 Logging and Monitoring

  • Sensitive Data Logging: Never log passwords, keys, account numbers
  • Log Storage: Encrypted, immutable log storage
  • Log Retention: Compliant with regulatory requirements
  • Log Analysis: SIEM integration for anomaly detection
  • Alert Response: Automatic alerts for security events

7. Compliance and Audit

7.1 Regulatory Compliance

  • GDPR: If handling EU user data
  • Financial Regulations: Broker compliance requirements
  • Data Protection: Regional data residency requirements
  • Audit Rights: Allow regular security audits
  • Compliance Reports: Generate on-demand

7.2 Security Certifications

  • ISO 27001: Information security management
  • SOC 2 Type II: System and organizational controls
  • Penetration Testing: Annual third-party pentest
  • Security Audit: Annual internal audit
  • Vulnerability Assessment: Quarterly assessments

7.3 Documentation

  • Security Policy: Documented and enforced
  • Procedures: Runbooks for security operations
  • Incident Response Plan: Tested quarterly
  • Business Continuity Plan: Recovery procedures
  • Data Backup Plan: Regular backup verification

8. Trading-Specific Security

8.1 Account Security

  • Multi-Account Support: Isolated credentials per account
  • Account Monitoring: Real-time suspicious activity detection
  • Withdrawal Limits: Daily/monthly withdrawal limits
  • 2FA for Withdrawals: Additional authentication for large withdrawals
  • Account Recovery: Secure recovery procedures

8.2 Trade Execution Security

  • Order Verification: Double-check before execution
  • Manual Review: Human review for unusual orders
  • Circuit Breakers: Automatic stops on abnormal activity
  • Partial Execution Handling: Verify all fills
  • Trade Audit Trail: Immutable transaction log

8.3 Financial Data Security

  • P&L Encryption: Sensitive financial data encrypted
  • Audit Logs: Complete audit trail for financial records
  • Reconciliation: Daily account reconciliation
  • Fraud Detection: ML-based anomaly detection
  • Compliance Reporting: Financial compliance reports

9. Third-Party Security

9.1 Vendor Assessment

  • Security Review: Evaluate third-party vendors
  • Compliance Verification: Confirm security standards
  • Contract Terms: Include security requirements
  • SLA Monitoring: Track vendor uptime and incidents
  • Alternative Plans: Have backup vendors

9.2 API Integrations

  • Scope Limitation: Request minimum required permissions
  • Token Rotation: Separate tokens for each integration
  • Rate Limiting: Implement rate limiting per integration
  • Audit Logging: Log all third-party API calls
  • Timeout Handling: Proper error handling for API failures

10. Security Testing

10.1 Testing Types

  • Penetration Testing: Annual external pentest
  • Vulnerability Scanning: Weekly automated scans
  • Security Testing: Manual security testing in staging
  • Chaos Engineering: Test failure scenarios
  • Red Team Exercises: Simulated attack scenarios

10.2 Test Coverage

  • Authentication: Test all auth mechanisms
  • Authorization: Verify RBAC enforcement
  • Data Validation: Test input validation
  • Error Handling: Verify no sensitive data in errors
  • Rate Limiting: Verify rate limit enforcement

11. Monitoring and Alerting

11.1 Security Monitoring

  • Failed Login Attempts: Alert on 5+ failed attempts
  • API Key Usage: Monitor unusual API key activity
  • Privilege Escalation: Alert on role changes
  • Credential Access: Track credential vault access
  • Configuration Changes: Alert on security config changes

11.2 Threat Monitoring

  • DDoS Detection: Automatic DDoS mitigation
  • Brute Force: Block after 5 failed attempts
  • Data Exfiltration: Monitor unusual data access
  • Malware: Endpoint protection on all systems
  • Intrusion Detection: Network-based IDS/IPS

12. Security Roadmap

Phase 1 (Months 1-2): Foundation

  • Implement credential management
  • Deploy encryption
  • Set up VPN access
  • Enable logging

Phase 2 (Months 3-4): Hardening

  • Implement RBAC
  • Deploy SIEM
  • Set up security scanning
  • Conduct penetration testing

Phase 3 (Months 5-6): Advanced

  • Implement automated threat detection
  • Deploy security orchestration
  • Establish incident response
  • Conduct security training

Phase 4 (Months 7+): Excellence

  • Achieve SOC 2 certification
  • Implement advanced monitoring
  • Conduct regular security audits
  • Maintain compliance

Conclusion

This security framework provides comprehensive protection for the MT5 trading bot system. Success requires:

  • Continuous security culture
  • Regular security training
  • Automated compliance
  • Proactive threat detection
  • Rapid incident response

Security is not a one-time implementation but an ongoing commitment.