Use this section to tell people about which versions of your project are currently being supported with security updates.

We take the security of AI Analysis for LeetCode seriously. If you believe you have found a security vulnerability, please report it to us as described below.

Please do NOT report security vulnerabilities through public GitHub issues.

Instead, please report them via email to [SECURITY_EMAIL]. You should receive a response within 48 hours. If for some reason you do not, please follow up via email to ensure we received your original message.

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 it

1. We will acknowledge your email within 48 hours
2. We will provide a detailed response within 7 days with:
   • Confirmation of the issue
   • Our intended fixes
   • Questions if we need more information
3. We will keep you informed about the progress towards a fix
4. After the fix is implemented, we will notify you

• The security issue will be kept confidential until a patch is ready
• We prefer coordinated disclosure
• Changes will be pushed as security updates
• Credit will be given to the reporter (unless anonymity is requested)

1. Security patches will be released as soon as possible
2. Updates will be published through:
   • GitHub releases
   • Security advisories
   • Documentation updates

This repository uses GitHub's code scanning feature to automatically detect common vulnerabilities:

• Regular automated scans using GitHub CodeQL
• Third-party security analysis tools
• Dependency vulnerability scanning
• Manual code reviews for security-sensitive changes

We maintain security of our dependencies through:

• Regular dependency updates
• Automated vulnerability scanning
• Dependency version pinning
• Lock file maintenance
• Periodic dependency audits

Our codebase follows these security best practices:

1. Input validation and sanitization
2. Proper error handling
3. Secure API endpoints
4. Rate limiting
5. Data encryption in transit
6. Secure session management
7. Regular security audits
8. Principle of least privilege

This project aims to comply with:

• OWASP Top 10 security risks
• Common security standards
• Industry best practices for Python applications
• API security guidelines

For any questions about this security policy, please:

1. Open a GitHub Discussion (for general queries)
2. Email [SECURITY_EMAIL] (for sensitive matters)
3. Check our security advisories page for updates

Last updated: February 2025