This section outlines which versions of the Student Performance Prediction System are currently being supported with security updates.

We take the security of the Student Performance Prediction System seriously. We appreciate your efforts to responsibly disclose your findings and will make every effort to acknowledge your contributions.

Please DO NOT report security vulnerabilities through public GitHub issues.

Instead, please report them via email to rashed.m.alothman@gmail.com with the subject line "Student Performance Project Security Vulnerability".

Please include the following information in your report:

• Type of vulnerability
• Full path of the affected source file(s)
• Location of the affected source code (line number)
• Proof-of-concept or exploit code (if possible)
• Impact of the vulnerability
• Suggested remediation or mitigation steps, if available

After you have reported a security vulnerability, you can expect:

• Acknowledgment: We will acknowledge receipt of your vulnerability report within 3 business days.
• Validation: We will validate and investigate the reported vulnerability within 7 business days.
• Updates: We will keep you informed of our progress towards resolving the issue.
• Resolution: Once the vulnerability is fixed, we will notify you and publicly acknowledge your responsible disclosure, unless you prefer to remain anonymous.

The Student Performance Prediction System processes educational data which may include personally identifiable information. We take the protection of this data very seriously:

• All data is encrypted both at rest and in transit
• User authentication and authorization controls are in place
• Input validation is performed to prevent injection attacks
• Regular security audits are conducted
• We comply with relevant data protection regulations

The Student Performance Prediction System uses several third-party libraries. We make efforts to keep these dependencies up-to-date to benefit from security patches, but vulnerabilities may exist in these components. If you discover a vulnerability in a third-party library we use, please report it to us as well as to the maintainers of that library.

The following security measures have been implemented in the project:

1. Input Validation: All user inputs are validated before processing
2. Output Encoding: Data output to web pages is properly encoded to prevent XSS attacks
3. Authentication: Proper authentication mechanisms are in place (when applicable)
4. Authorization: Access control checks are implemented for sensitive operations
5. Data Protection: Sensitive data is protected both at rest and in transit
6. Error Handling: Error handling is implemented without exposing sensitive information
7. Logging and Monitoring: Security-relevant events are logged for audit purposes

When security vulnerabilities are discovered and fixed, the following process is followed:

1. The vulnerability is privately fixed in the main branch
2. A new release is created with the security fix
3. Release notes and security advisories document the vulnerability and fix
4. Users are encouraged to update to the latest version

We believe in transparency and will publish security advisories for vulnerabilities after they have been fixed. We will coordinate disclosure timing with you to ensure adequate time for users to update their installations.

We would like to thank the following individuals who have helped improve the security of the Student Performance Prediction System through responsible disclosure:

(This section will be updated as contributors report security issues)