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Security: Atik203/AI-Algorithm-Simulator

Security

SECURITY.md

Security Policy

Supported Versions

We release patches for security vulnerabilities. Which versions are eligible for receiving such patches depends on the CVSS v3.0 Rating:

Version Supported
1.x.x
< 1.0

Reporting a Vulnerability

The AI Algorithm Simulator team and community take security bugs seriously. We appreciate your efforts to responsibly disclose your findings, and will make every effort to acknowledge your contributions.

How to Report a Security Vulnerability

Please do NOT report security vulnerabilities through public GitHub issues.

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

  1. GitHub Security Advisories (Preferred)

  2. Private Contact

    • Contact the maintainer @Atik203 through their GitHub profile
    • Include the word "SECURITY" in the subject line

Information to Include

Please include the following information in your report:

  • Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
  • Full paths of source file(s) related to the manifestation of the issue
  • The location of the affected source code (tag/branch/commit or direct URL)
  • Any special configuration required to reproduce the issue
  • Step-by-step instructions to reproduce the issue
  • Proof-of-concept or exploit code (if possible)
  • Impact of the issue, including how an attacker might exploit the issue

This information will help us triage your report more quickly.

Response Timeline

  • Initial Response: Within 48 hours of receiving a report
  • Severity Assessment: Within 5 business days
  • Security Advisory: Published within 30 days (if applicable)
  • Patch Release: As soon as possible after confirmation

Security Measures

Current Security Features

  • JWT Authentication - Secure token-based authentication
  • CORS Configuration - Proper cross-origin resource sharing setup
  • Input Validation - Server-side validation of all inputs
  • SQL Injection Protection - Django ORM prevents SQL injection
  • XSS Protection - React's built-in XSS protection
  • HTTPS Ready - Production deployment supports HTTPS
  • Environment Variables - Sensitive data stored in environment variables
  • Dependency Scanning - Regular dependency vulnerability checks

Security Best Practices

For Users

  • Use Strong Passwords - Create strong, unique passwords for your account
  • Keep Software Updated - Use the latest version of the application
  • Secure Environment - Deploy in a secure environment with HTTPS
  • Environment Variables - Never commit sensitive data to version control

For Developers

  • Code Review - All code changes require review
  • Dependency Updates - Regular security updates for dependencies
  • Input Sanitization - Always validate and sanitize user inputs
  • Authentication Checks - Verify permissions for all protected endpoints
  • Secure Defaults - Use secure configurations by default

Known Security Considerations

Development Environment

  • Debug Mode - Debug mode is enabled by default for development
  • SQLite Database - Default SQLite database for development only
  • CORS Settings - Development CORS settings allow localhost

Production Recommendations

  • Environment Configuration

    DJANGO_DEBUG=False
    DJANGO_SECRET_KEY=<strong-random-secret>
    DATABASE_URL=<production-database-url>
  • Database Security

    • Use PostgreSQL or MySQL for production
    • Enable database connection encryption
    • Use strong database passwords
    • Limit database user permissions
  • Web Server Security

    • Enable HTTPS with valid SSL certificates
    • Configure security headers (HSTS, CSP, etc.)
    • Use a reverse proxy (nginx, Apache)
    • Enable rate limiting
  • Application Security

    • Set strong Django SECRET_KEY
    • Configure ALLOWED_HOSTS properly
    • Use environment variables for sensitive data
    • Enable Django security middleware

Vulnerability Disclosure Policy

Our Commitments

  • We will respond to your report promptly
  • We will keep you informed of the progress
  • We will credit you for the discovery (if desired)
  • We will not take legal action against researchers who follow responsible disclosure

What We Expect

  • Good Faith Research - Make a good faith effort to avoid privacy violations
  • Responsible Disclosure - Give us reasonable time to fix issues before public disclosure
  • No Harm - Don't perform actions that could harm our users or degrade our services
  • Legal Compliance - Follow applicable laws and regulations

Safe Harbor

We consider security research conducted under this policy to be:

  • Authorized in accordance with applicable laws
  • Compliant with our terms and conditions
  • Exempt from DMCA takedown claims

Out of Scope

The following are generally considered out of scope:

  • Social Engineering - Phishing, vishing, smishing attacks against employees
  • Physical Security - Physical attacks against offices or data centers
  • Denial of Service - DoS or DDoS attacks
  • Third-party Services - Vulnerabilities in third-party services we use
  • Non-security Issues - Bugs that don't have security implications

Security Updates

Update Process

  1. Vulnerability Assessment - Evaluate the severity and impact
  2. Patch Development - Develop and test the security fix
  3. Security Advisory - Publish security advisory if needed
  4. Release - Release patched version
  5. Notification - Notify users of critical updates

Staying Informed

  • GitHub Releases - Subscribe to GitHub release notifications
  • Security Advisories - Monitor our GitHub Security Advisories
  • README Updates - Check README for security-related updates

Security Contact

Primary Contact

PGP Key

Currently, we do not have a PGP key for encrypted communications. If you need to send highly sensitive information, please use GitHub's private vulnerability reporting feature.

Bug Bounty Program

At this time, we do not offer a bug bounty program. However, we greatly appreciate security research and will acknowledge security researchers who follow responsible disclosure practices.

Acknowledgments

We would like to thank the following individuals for their contributions to the security of AI Algorithm Simulator:

  • Security researchers who have responsibly disclosed vulnerabilities
  • Community members who have provided security feedback
  • Contributors who have improved our security practices

This list will be updated as we receive and address security reports.

Additional Resources

Security Learning Resources

Security Tools

  • Static Analysis: CodeQL, SonarQube
  • Dependency Scanning: Dependabot, npm audit, pip audit
  • Container Security: Docker security scanning
  • Web Application Security: OWASP ZAP, Burp Suite

Last Updated: October 16, 2025

Thank you for helping keep AI Algorithm Simulator and our users safe! 🔒

There aren’t any published security advisories