Security Guideline Document
Security Guideline Document for "Xmind AI Desktop Client"
1. Introduction
This document outlines security protocols for the Xmind AI Desktop Client (v3.8.1+), a cross-platform mind-mapping application (Windows/macOS/Linux). Security focuses on protecting user data (e.g., project files, AI-generated content) and preventing unauthorized access, data breaches, and malware injection during download, installation, and operation.
2. Security Objectives
- CIA Triad Enforcement:
- Confidentiality: Encrypt user data at rest/transit.
- Integrity: Validate software updates and user files.
- Availability: Ensure 99.9% uptime for update servers via DDoS mitigation.
- Compliance: GDPR, CCPA, and OWASP Top 10 for Desktop Apps.
3. Security Architecture
Components:
- Client Layer: Electron.js (v26.1.0) with sandboxed renderer processes.
- Network Layer: Cloudflare (WAF + TLS 1.3) for download servers.
- Data Layer: AES-256-GCM for local file encryption.
4. Technical Implementation
4.1 Secure Download & Installation
- Authenticode/Signing:
- Windows: EV Code Signing (DigiCert) for
.exe
/.msi
. - macOS: Notarization via Apple Developer ID.
- Linux: GPG-signed repositories (Debian/RPM).
- Windows: EV Code Signing (DigiCert) for
- Integrity Checks:
- SHA-3-512 checksums for installers, verified pre-launch.
- Update packages signed via OpenPGP (GnuPG v2.4.3).
4.2 Authentication & Authorization
- OAuth 2.0 + OpenID Connect:
- Auth0 (or Keycloak v22.0) for cloud-sync accounts.
- JWT tokens (RS256, 15-min expiry) for session management.
- Local Auth:
- Biometric/PIN unlock (Windows Hello/Touch ID).
- Rate limiting (5 attempts/hr) for password entry.
4.3 Data Protection
- At Rest:
- SQLCipher (v4.5.1) for local database (projects/metadata).
- Files encrypted via AES-256-GCM (Crypto++ v8.8).
- In Transit:
- HTTPS (HSTS preload) for all API calls (update checks, AI features).
- Certificate pinning using
electron-trusted-http
.
4.4 Runtime Security
- Sandboxing:
- Electron
contextIsolation
andsandbox
flags enabled. - Restricted Node.js integration (IPC-limited modules).
- Electron
- AI Feature Security:
- Local LLM execution (e.g., via ONNX Runtime) for sensitive prompts.
- Cloud AI: Zero data retention policy; TLS 1.3 + mutual TLS (mTLS) for API.
4.5 Vulnerability Management
- Static/Dynamic Analysis:
- SAST: SonarQube (v10.2) + ESLint security rules.
- DAST: OWASP ZAP (v2.14) for network interfaces.
- Dependency Scanning:
- OWASP Dependency-Check (v8.4.0) + Snyk (v1.1266) for CVE monitoring.
5. Network Security Controls
- Firewall Rules:
- Outbound traffic restricted to
*.xmind.com
(ports 443/80). - Block unauthorized local network access (e.g., SMB).
- Outbound traffic restricted to
- Anti-Malware Integration:
- Windows: Windows Defender API hooks for file I/O scanning.
- macOS: XProtect-compatible quarantine API.
6. Incident Response & Monitoring
- Logging:
- Centralized logging via Winston (v3.11.0) with audit trails (user actions, auth events).
- Logs encrypted and forwarded to SIEM (Splunk Enterprise v9.2).
- Incident Playbook:
- Ransomware Detection: Isolate client, revoke tokens, restore from encrypted backups (AWS S3 versioned).
- Zero-Day Exploit: Deploy hotfixes via incremental updates (<5MB patches).
7. Maintenance & Compliance
- Patch Management:
- Critical updates auto-applied (user-opt-out).
- Monthly CVE reviews; 72-hour SLA for critical fixes.
- Audits:
- Annual penetration tests (PTaaS via HackerOne).
- FIPS 140-2 validation for crypto libraries.
8. Conclusion
This framework ensures the Xmind AI Desktop Client adheres to industry security standards while balancing usability. Future enhancements include post-quantum cryptography (CRYSTALS-Kyber) and hardware-backed TPM/HSM integration.
Document Version: 1.2
Last Updated: 2023-10-05
Contact: security@xmind.com