Executive Summary

A SQL injection vulnerability was identified in the Restaurant Management System, specifically in the /forgotpassword.php file. This vulnerability allows remote attackers to inject malicious SQL code, potentially leading to data breaches or system compromise. The vulnerability has a CVSS score of 7.3, indicating a high severity level.

Technical Analysis

The vulnerability is caused by improper input validation in the email parameter of the /forgotpassword.php file. Specifically, the application fails to sanitize user input, allowing an attacker to inject malicious SQL code. This is a classic example of a SQL injection vulnerability, which can be exploited to extract or modify sensitive data.

How It Gets Exploited

An attacker can exploit this vulnerability by sending a crafted HTTP request to the /forgotpassword.php file with a malicious email parameter. For example, an attacker could send a request with an email parameter like: email=' OR 1=1 --. This would inject malicious SQL code into the application's database, potentially allowing the attacker to extract or modify sensitive data. The attack can be launched remotely, and the exploit is publicly available.

Impact Assessment

The vulnerability affects the Restaurant Management System, specifically the versions with hashes 5f3eca87cb681366866a78038af17891c4c86612, 6d1cc94c9007e2373d30d9c940824a5d2f50d9b6, and b7124069da225d5be3f430eb4d8e23d294f7a14f. The vulnerability has a CVSS score of 7.3, indicating a high severity level. If exploited, the vulnerability could allow an attacker to extract or modify sensitive data, potentially leading to a data breach or system compromise.

Recommended Actions

To mitigate this vulnerability, it is recommended to:

  • Update the Restaurant Management System to a version that includes a fix for this vulnerability (although no patched version is currently available).
  • Implement input validation and sanitization for the email parameter in the /forgotpassword.php file.
  • Use prepared statements with parameterized queries to prevent SQL injection attacks.
  • Monitor the system for suspicious activity and implement additional security measures to detect and prevent potential attacks.

Sources

  • National Vulnerability Database (NVD)