Skip to content

Security: darkspock/CareerPython

Security

SECURITY.md

Security Policy

Supported Versions

We actively support the following versions of CareerPython with security updates:

Version Supported
1.0.x βœ…
< 1.0 ❌

Reporting a Vulnerability

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

πŸ”’ Private Disclosure

Do NOT create a public GitHub issue for security vulnerabilities.

Instead, please report security vulnerabilities privately by:

  1. Email: Send details to [email protected]
  2. Subject: Use the subject line "SECURITY: [Brief description]"
  3. Encryption: For sensitive information, you may request our PGP key

πŸ“ What to Include

Please include as much of the following information as possible:

  • Type of vulnerability (e.g., SQL injection, XSS, authentication bypass)
  • Location of the vulnerability (file path, URL, function name)
  • Steps to reproduce the vulnerability
  • Potential impact of the vulnerability
  • Suggested fix (if you have one)
  • Your contact information for follow-up questions

πŸš€ Response Timeline

We will acknowledge receipt of your vulnerability report within 48 hours and provide:

  • Initial assessment within 7 days
  • Regular progress updates during investigation
  • Target resolution timeline based on severity
  • Credit in our security advisory (if desired)

πŸ† Security Researcher Recognition

We appreciate security researchers who help keep CareerPython secure:

  • Public recognition in our Hall of Fame (with your permission)
  • Mention in release notes for security fixes
  • LinkedIn recommendation for significant findings
  • Potential collaboration opportunities

πŸ›‘οΈ Security Measures

CareerPython implements multiple security layers:

Authentication & Authorization

  • JWT token-based authentication
  • Argon2 password hashing
  • Role-based access control (RBAC)
  • Session management with secure tokens

Data Protection

  • Input validation with Pydantic models
  • SQL injection prevention via SQLAlchemy ORM
  • XSS protection through output encoding
  • CSRF protection for state-changing operations

Infrastructure Security

  • Environment variable isolation
  • Secret management best practices
  • Docker container security
  • HTTPS encryption in production

Monitoring & Logging

  • Security event logging
  • Failed authentication tracking
  • Suspicious activity detection
  • Error reporting without sensitive data exposure

πŸ”§ Security Configuration

Environment Variables

Never commit sensitive information to the repository:

# ❌ DON'T DO THIS
SECRET_KEY=actual-secret-key-here

# βœ… DO THIS INSTEAD
SECRET_KEY=your-secret-key-here-change-in-production

Database Security

  • Use strong database passwords
  • Enable database connection encryption
  • Regularly update database software
  • Implement proper backup encryption

API Security

  • Rate limiting on all endpoints
  • Input validation on all requests
  • Proper error handling without information leakage
  • CORS configuration for allowed origins

🚨 Security Best Practices for Contributors

Code Review Security Checklist

  • No hardcoded secrets or credentials
  • Input validation for all user inputs
  • Proper error handling without sensitive data exposure
  • Authentication/authorization checks where needed
  • SQL queries use parameterized statements
  • File uploads are properly validated and sandboxed

Dependencies

  • Regularly update dependencies to patch known vulnerabilities
  • Use uv audit to check for known security issues
  • Pin dependency versions for reproducible builds
  • Review third-party packages before adding them

Testing Security

  • Include security test cases
  • Test authentication and authorization scenarios
  • Validate input sanitization
  • Test error handling scenarios

πŸ“Š Vulnerability Severity Levels

We use the following severity levels for vulnerabilities:

🚨 Critical (CVSS 9.0-10.0)

  • Remote code execution
  • SQL injection with data access
  • Authentication bypass
  • Response time: 24-48 hours

πŸ”΄ High (CVSS 7.0-8.9)

  • Privilege escalation
  • Sensitive data exposure
  • Cross-site scripting (stored)
  • Response time: 3-7 days

🟑 Medium (CVSS 4.0-6.9)

  • Cross-site scripting (reflected)
  • Information disclosure
  • Denial of service
  • Response time: 7-14 days

πŸ”΅ Low (CVSS 0.1-3.9)

  • Minor information disclosure
  • Security configuration issues
  • Response time: 14-30 days

πŸ”„ Security Update Process

  1. Vulnerability confirmed and severity assessed
  2. Fix developed and tested in private branch
  3. Security advisory prepared
  4. Coordinated disclosure with timeline
  5. Patch released with security notes
  6. Public disclosure after patch is available

πŸ“š Security Resources

πŸ™ Security Hall of Fame

We thank the following security researchers for their responsible disclosure:

No security vulnerabilities have been reported yet.

πŸ“ž Contact

For security-related questions or concerns:


Thank you for helping keep CareerPython and our users safe!

There aren’t any published security advisories