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Security: JDGonzal/AI-Chatbot-Code-Challenge

Security

.github/SECURITY.md

Security Policy

Supported Versions

We actively support the following versions of the AI Chatbot Code Challenge:

Version Supported
1.0.x
< 1.0

Reporting a Vulnerability

We take the security of our AI Chatbot seriously. If you discover a security vulnerability, please follow these steps:

1. DO NOT create a public GitHub issue

Security vulnerabilities should be reported privately to avoid potential exploitation.

2. Send a detailed report

Please email security reports to: [security@example.com] or use GitHub's private vulnerability reporting feature.

Include the following information:

  • Description of the vulnerability
  • Steps to reproduce the issue
  • Potential impact
  • Suggested fix (if you have one)

3. Response Timeline

  • Within 24 hours: We'll acknowledge receipt of your report
  • Within 1 week: We'll provide an initial assessment
  • Within 2 weeks: We'll develop and test a fix
  • Within 1 month: We'll release a patch and public disclosure

Security Measures

Application Security

  • Authentication: JWT-based authentication with secure token handling
  • Input Validation: All user inputs are validated and sanitized
  • Environment Variables: Sensitive data stored in environment variables
  • Dependencies: Regular security audits of npm packages
  • Docker Security: Non-root user, minimal base image

CI/CD Security

  • Secret Management: GitHub Secrets for sensitive data
  • Dependency Scanning: Automated security audits in CI pipeline
  • Container Scanning: Docker image vulnerability scanning
  • SBOM Generation: Software Bill of Materials for transparency

Infrastructure Security

  • TLS/SSL: All communications encrypted in transit
  • Access Control: Principle of least privilege
  • Monitoring: Security event logging and monitoring
  • Updates: Regular security updates and patches

Security Best Practices for Contributors

When contributing to this project:

  1. Never commit secrets: Use environment variables
  2. Validate inputs: Always validate user inputs
  3. Use secure dependencies: Check for known vulnerabilities
  4. Follow coding standards: Security-focused code review
  5. Update dependencies: Keep packages up to date

Security Testing

Our CI/CD pipeline includes:

  • Static Analysis: Code security scanning
  • Dependency Audit: npm audit and Snyk scanning
  • Container Scanning: Docker image vulnerability assessment
  • Penetration Testing: Regular security assessments

Incident Response

In case of a security incident:

  1. Immediate Response: Isolate and contain the threat
  2. Assessment: Evaluate the scope and impact
  3. Remediation: Apply fixes and patches
  4. Communication: Notify affected users
  5. Post-Incident: Review and improve security measures

Security Resources

Contact

For security-related questions or concerns:


Thank you for helping keep the AI Chatbot Code Challenge secure! 🔒

There aren’t any published security advisories