IMPORTANT: Do NOT open public GitHub issues for security vulnerabilities.

• Email: security@richertunes.com (or xfear26@hotmail.com)
• Response Time: Within 48 hours
• Expected Resolution: Based on severity (Critical: 7 days, High: 30 days)

• ✅ CodeQL Static Analysis: Automated C# security scanning
• ✅ Secret Scanning: GitLeaks monitors for Qobuz credentials
• ✅ Dependency Monitoring: Dependabot automated updates
• ✅ Vulnerability Scanning: NuGet package vulnerability detection
• ✅ Security Policy: Documented disclosure process

• Container image scanning (when Docker images published)
• SBOM generation for releases
• Artifact signing with Cosign/GPG
• Third-party penetration testing
• Bug bounty program (future)

Security team acknowledges receipt within 48 hours

• Critical (CVSS 9.0-10.0): Immediate action, 7-day resolution
• High (CVSS 7.0-8.9): Priority fix, 30-day resolution
• Medium (CVSS 4.0-6.9): Standard fix, 90-day resolution
• Low (CVSS 0.1-3.9): Routine fix, next release

• Private security branch created
• Patch developed and tested
• Backports to supported versions
• Security advisory drafted

• 90-day disclosure timeline (negotiable)
• Security advisory published
• CVE assigned if applicable
• Users notified via releases and security tab

• Lessons learned documented
• Prevention measures implemented
• Security audit updated
• Contributor acknowledged (with permission)

• All external data must be validated: User input, API responses, file contents
• Whitelist approach: Define what's allowed, reject everything else
• Type validation: Ensure data types match expectations

• No hardcoded secrets: Use environment variables or encrypted storage
• Qobuz credentials: Client ID/secret in secure configuration only
• OAuth tokens: Encrypt at rest using Lidarr.Plugin.Common token storage
• Session management: Implement proper expiration and refresh logic

• SQL Injection: Use parameterized queries (N/A - no SQL database)
• Command Injection: Sanitize all shell command inputs
• Path Traversal: Validate and sanitize file paths before access
• XSS: Encode output for any web-facing components

• No sensitive data in errors: Strip credentials, paths, internal state
• User-friendly messages: Generic errors to users, detailed logs internally
• Fail securely: Default to denying access on errors

• Monitor Dependabot PRs weekly
• Review security advisories for dependencies
• Test updates in isolation before merging
• Document breaking changes

• Minimize dependency count
• Prefer well-maintained packages
• Review transitive dependencies
• Use lock files for reproducibility

Current vulnerable packages (example - update regularly):

• [To be populated by security scans]

• OAuth 2.0 flow implementation
• Token refresh before expiration
• Secure token storage (encrypted at rest)
• Never log tokens or credentials

• Respect Qobuz API rate limits
• Implement backoff on 429 responses
• Cache responses to reduce API calls
• Monitor API usage patterns

• Validate all API responses
• Handle malformed data gracefully
• Sanitize metadata before storage
• Verify file checksums for downloads

• Verify HTTPS for all Qobuz connections
• Validate content types and file sizes
• Check file integrity (checksums)
• Scan for malicious content (optional)

• Secure cleanup of temporary downloads
• No credentials in temp files
• Appropriate file permissions
• Automatic cleanup on failure

• Never log credentials, tokens, or PII
• Sanitize paths and file names
• Redact sensitive fields in structured logs
• Secure log file permissions

1. User credentials: Qobuz account credentials, OAuth tokens
2. Application data: Downloaded music, metadata cache, search history
3. Configuration: Plugin settings, API credentials, quality preferences
4. System access: File system access, network access, Lidarr integration

• Attack vector: Exposed tokens, weak encryption, logging
• Impact: Unauthorized Qobuz account access
• Mitigation: Encrypted storage, no logging, secure transmission

• Attack vector: Rate limit violations, quota exhaustion
• Impact: Account suspension, service degradation
• Mitigation: Rate limiting, caching, backoff strategies

• Attack vector: Modified downloads, corrupted metadata
• Impact: Malicious files, incorrect tagging
• Mitigation: Checksum validation, HTTPS enforcement

• Attack vector: Compromised dependencies, malicious packages
• Impact: Code execution, data exfiltration
• Mitigation: Dependency scanning, subresource integrity, code review

• Attack vector: Malicious file paths in downloads
• Impact: Write to unauthorized locations
• Mitigation: Path sanitization, permission checks

External:

• Qobuz API endpoints
• NuGet package sources
• GitHub Actions workflows
• Docker base images (future)

Internal:

• Lidarr plugin interface
• File system operations
• Network requests
• Configuration storage

• Minimal data collection: Only what's needed for functionality
• No telemetry: No usage analytics or tracking
• User control: Users manage their own credentials
• Third-party data: Only Qobuz API, no other services

• OpenSSF Best Practices: Following badge criteria
• CWE Top 25: Addressing common weaknesses
• OWASP Top 10: Preventing web vulnerabilities

• MIT License
• Compatible dependency licenses
• No GPL/AGPL dependencies (Dependabot blocks these)

• Email: xfear26@hotmail.com
• GitHub: @RicherTunes

• Open to community security researchers
• Coordinated disclosure welcomed
• Acknowledgments in SECURITY.md

We appreciate security researchers who responsibly disclose vulnerabilities. Contributors will be acknowledged here with permission:

• [Your name here for responsible disclosure]

• Qobuz API Documentation
• Lidarr Security Guidelines
• Lidarr.Plugin.Common Security
• OWASP Secure Coding Practices
• CWE/SANS Top 25

Last Updated: 2025-11-23 Version: 1.0 Maintained By: RicherTunes