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We release patches for security vulnerabilities in the following versions:

We take security seriously at SynkraAI. If you discover a security vulnerability in AIOX, please report it responsibly.

DO NOT create a public GitHub issue for security vulnerabilities.

Instead, please report security vulnerabilities through one of these channels:

1. GitHub Security Advisories (Preferred)

   • Go to Security Advisories
   • Click "Report a vulnerability"
   • Fill out the form with details

2. GitHub Issues (Private)

   • Open a private security advisory
   • Use subject line: [SECURITY] Brief description

Please include the following in your report:

• Description: A clear description of the vulnerability
• Impact: What could an attacker achieve with this vulnerability?
• Steps to Reproduce: Detailed steps to reproduce the issue
• Affected Versions: Which versions are affected?
• Possible Fix: If you have suggestions for how to fix the issue
• Your Information: Name/handle for acknowledgment (optional)

1. Acknowledgment: We will acknowledge receipt within 48 hours
2. Initial Assessment: We will provide an initial assessment within 5 business days
3. Updates: We will keep you informed of our progress
4. Resolution: We aim to resolve critical issues within 30 days
5. Disclosure: We will coordinate disclosure timing with you

We consider security research conducted in accordance with this policy to be:

• Authorized concerning any applicable anti-hacking laws
• Authorized concerning any relevant anti-circumvention laws
• Exempt from restrictions in our Terms of Service that would interfere with conducting security research

We will not pursue civil action or initiate a complaint to law enforcement for accidental, good faith violations of this policy.

When using AIOX Framework, we recommend:

• Never commit .env files to version control
• Use .env.example as a template without real values
• Rotate API keys and secrets regularly

• Only enable MCP servers from trusted sources
• Review MCP server code before enabling
• Use sandboxed execution environments when available
• Limit MCP server permissions to minimum required

• Be cautious with agent commands that execute system operations
• Review generated code before execution in production
• Use appropriate access controls for sensitive operations

• Keep dependencies up to date
• Run npm audit regularly
• Review dependency changes in pull requests

AIOX Framework executes AI-generated code and commands. Users should:

• Understand that AI agents can execute arbitrary code
• Use appropriate sandboxing for untrusted environments
• Review AI-generated output before production deployment

• AIOX may process sensitive data through AI providers
• Review your AI provider's data handling policies
• Consider data classification when using AI features

Security updates are announced through:

• GitHub Security Advisories
• CHANGELOG.md
• GitHub Releases

We thank the following researchers for responsibly disclosing security issues:

No reports yet - be the first!

This security policy is effective as of December 2024. Last updated: 2025-12-11