This project supports Python versions from 3.9 to 3.14. We actively maintain and provide security updates for these versions.

We take security vulnerabilities seriously. If you discover a security vulnerability within this project, please follow these steps:

1. Do Not create a public GitHub issue for the vulnerability.
2. Send a detailed report to [SECURITY_EMAIL] (Please contact repository maintainers for the correct email address).
3. Include the following in your report:
   • Description of the vulnerability
   • Steps to reproduce the issue
   • Potential impact
   • Suggested fix (if possible)

• You will receive an acknowledgment of your report within 48 hours.
• We will investigate and provide regular updates on the progress.
• Once the vulnerability is confirmed, we will work on a fix.
• After the fix is ready, we will release a security update.

This project follows these security best practices:

1. Dependency Management

   • Regular dependency updates and security audits
   • Automated dependency scanning for vulnerabilities
   • Strict version pinning in requirements files

2. Code Security

   • Static code analysis using flake8
   • Type checking with mypy
   • Automated testing with pytest
   • Code formatting with black

3. Environment Security

   • Use of environment variables for sensitive configuration
   • Double quotes for environment variable values
   • Secure handling of API keys and credentials
   • Logging security events to dedicated log files

4. API Security

   • Secure mocking of K8s, VMware, and Vault APIs
   • Input validation and sanitization
   • Proper error handling and logging

5. Documentation

   • Security-related documentation maintained in docs/ directory
   • Regular documentation updates with code changes
   • Clear documentation of security-related configurations

1. Authentication & Authorization

   • Proper credential management
   • Secure token handling
   • Role-based access control where applicable

2. Data Protection

   • Secure handling of sensitive data
   • Proper logging practices (no sensitive data in logs)
   • Secure configuration management

3. Infrastructure Security

   • Container security best practices for Docker (CentOS/Fedora/Alpine)
   • Kubernetes security configurations
   • Vault security best practices

Please ensure any contributions to this project follow:

• Python security best practices
• Project-specific security guidelines
• Relevant compliance requirements for K8s, VMware, and Vault integrations

Security updates and patches will be released as soon as possible after a vulnerability is confirmed and fixed. Updates will be distributed through:

1. GitHub releases
2. Updated package versions
3. Security advisories when applicable