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Security: bloockchaindev/error-collector-mcp

Security

SECURITY.md

Security Policy

Supported Versions

We actively support the following versions with security updates:

Version Supported
1.x.x ✅
0.x.x ❌

Reporting a Vulnerability

We take security vulnerabilities seriously. If you discover a security vulnerability in Error Collector MCP, please report it responsibly.

How to Report

Please do NOT report security vulnerabilities through public GitHub issues.

Instead, please report them via one of the following methods:

  1. Email: Send details to security@error-collector-mcp.org
  2. GitHub Security Advisory: Use GitHub's private vulnerability reporting feature
  3. Encrypted Communication: Use our PGP key for sensitive reports

What to Include

When reporting a vulnerability, please include:

  • Description of the vulnerability
  • Steps to reproduce the issue
  • Potential impact assessment
  • Suggested fix (if available)
  • Your contact information

Response Timeline

  • Initial Response: Within 24 hours
  • Vulnerability Assessment: Within 72 hours
  • Fix Development: Within 7-14 days (depending on severity)
  • Public Disclosure: After fix is released and users have time to update

Security Best Practices

For Users

  1. API Key Security:

    • Never commit API keys to version control
    • Use environment variables or secure secret management
    • Rotate API keys regularly
    • Use least-privilege API keys when possible
  2. Network Security:

    • Run the server behind a firewall
    • Use HTTPS in production environments
    • Limit network access to necessary ports only
    • Consider using VPN for remote access
  3. Data Protection:

    • Regularly backup error data
    • Implement data retention policies
    • Consider data encryption at rest
    • Monitor access logs
  4. System Security:

    • Keep dependencies updated
    • Run with minimal required privileges
    • Use container security best practices
    • Monitor system resources

For Developers

  1. Code Security:

    • Follow secure coding practices
    • Validate all inputs
    • Sanitize error messages before AI processing
    • Use parameterized queries for data access
  2. Dependency Management:

    • Regularly audit dependencies for vulnerabilities
    • Use dependency scanning tools
    • Pin dependency versions in production
    • Monitor security advisories
  3. Testing:

    • Include security tests in CI/CD
    • Test with malformed inputs
    • Validate error handling paths
    • Test rate limiting and resource exhaustion

Known Security Considerations

Data Sensitivity

  • Error messages may contain sensitive information
  • Stack traces can reveal internal system details
  • File paths may expose system structure
  • Environment variables might contain secrets

Mitigation: The system includes built-in filtering to remove common sensitive patterns, but users should review their error patterns and configure additional filtering as needed.

API Key Exposure

  • OpenRouter API keys provide access to AI services
  • Exposed keys can lead to unauthorized usage and costs
  • Keys in logs or error messages create security risks

Mitigation: Use environment variables, never log API keys, and implement proper secret management practices.

Network Exposure

  • MCP server listens on network ports
  • Browser extensions communicate over HTTP/WebSocket
  • Unprotected endpoints can be accessed by malicious actors

Mitigation: Use proper firewall configuration, consider HTTPS/WSS in production, and implement authentication if needed.

Security Updates

Security updates are released as patch versions and are clearly marked in the changelog. Users are strongly encouraged to:

  1. Subscribe to security notifications
  2. Update promptly when security patches are released
  3. Test updates in staging environments first
  4. Monitor security advisories

Compliance

This project aims to comply with:

  • OWASP Top 10 security practices
  • CWE/SANS Top 25 vulnerability prevention
  • NIST Cybersecurity Framework guidelines
  • ISO 27001 security management principles

Security Tools

We use the following tools to maintain security:

  • Bandit: Python security linter
  • Safety: Dependency vulnerability scanner
  • CodeQL: Semantic code analysis
  • Dependabot: Automated dependency updates
  • SAST: Static Application Security Testing

Contact

For security-related questions or concerns:

Acknowledgments

We appreciate the security research community and will acknowledge researchers who responsibly disclose vulnerabilities (with their permission).


Last Updated: February 2025 Next Review: May 2025

There aren't any published security advisories