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Security Policy

Supported Versions

We provide security updates for the following versions:

Version Supported
1.x.x ✅

Reporting a Vulnerability

The Vector Bot team takes security seriously. If you discover a security vulnerability, please report it responsibly.

How to Report

  1. DO NOT open a public GitHub issue for security vulnerabilities
  2. Send an email to: joshuaramirez@[domain] or create a private security advisory on GitHub
  3. Include as much detail as possible about the vulnerability

What to Include

  • Description of the vulnerability
  • Steps to reproduce the issue
  • Potential impact assessment
  • Any suggested fixes (if available)
  • Your contact information for follow-up

Response Timeline

  • Initial Response: Within 48 hours of report
  • Assessment: Within 7 days
  • Fix Timeline: Varies by severity, but critical issues will be prioritized
  • Disclosure: After fix is released and users have time to update

Security Considerations

Local-First Architecture

This project is designed for local operation, which provides inherent security benefits:

  • No External APIs: All processing happens locally
  • Data Privacy: Your documents never leave your machine
  • Network Isolation: Works completely offline

Potential Risk Areas

While the local-first design is security-focused, be aware of:

  1. Document Processing: Malicious documents could potentially exploit parsing libraries
  2. Model Security: Ensure your Ollama models are from trusted sources
  3. File System Access: The tool requires read access to your documents and write access for indices
  4. Dependencies: We regularly audit dependencies for known vulnerabilities

Best Practices for Users

  1. Keep Updated: Regularly update to the latest version
  2. Trusted Sources: Only process documents from trusted sources
  3. Model Verification: Use verified Ollama models
  4. Environment Isolation: Consider running in containerized environments for sensitive use cases
  5. Backup Strategy: Regularly backup your document indices

Security Features

  • Dependency Scanning: Automated vulnerability checks via GitHub Actions
  • Code Analysis: Static analysis with CodeQL, Bandit, and Semgrep
  • Minimal Dependencies: Reduced attack surface through minimal dependency tree
  • Local Operation: No external network calls eliminate remote attack vectors

Security Updates

Security updates are distributed through:

  1. GitHub Releases: Tagged releases with security fixes
  2. PyPI: Updated packages with security patches
  3. Security Advisories: GitHub security advisories for critical issues

Vulnerability Disclosure Policy

Coordinated Disclosure

We follow responsible disclosure practices:

  1. Assessment Period: Up to 90 days for initial assessment
  2. Fix Development: Reasonable time for fix development
  3. User Notification: Security advisory published with fix
  4. Credit: Security researchers credited (unless anonymous requested)

Severity Classification

  • Critical: Remote code execution, data corruption
  • High: Local privilege escalation, sensitive data exposure
  • Medium: Information disclosure, denial of service
  • Low: Minor security improvements

Security Contact

For security-related questions or reports:

Acknowledgments

We thank the security research community for responsible disclosure and helping keep Vector Bot secure.

Last Updated: 2025-08-08