CVE-2025-7590 is a SQL Injection vulnerability identified in version 1.3 of the PHPGurukul Dairy Farm Shop Management System, specifically within the edit-category.php file. The vulnerability arises from improper sanitization or validation of the 'categorycode' parameter, which is directly used in SQL queries. This flaw allows an unauthenticated remote attacker to inject malicious SQL code, potentially manipulating the database queries executed by the application. The vulnerability does not require user interaction or authentication, increasing the risk of exploitation. Although the CVSS 4.0 score rates this vulnerability as medium (5.3), the attack vector is network-based with low attack complexity and no privileges or user interaction needed, indicating a relatively straightforward exploitation path. The impact on confidentiality, integrity, and availability is limited (low), suggesting that while the attacker can manipulate some data, the scope and severity of damage are constrained. No known exploits are currently reported in the wild, and no official patches have been released yet. The vulnerability disclosure is recent, with public details available since July 14, 2025.

For European organizations using the PHPGurukul Dairy Farm Shop Management System version 1.3, this vulnerability could lead to unauthorized access or modification of database records related to product categories. Although the system targets dairy farm shop management, compromised data integrity could disrupt inventory management, pricing, and sales reporting, potentially causing operational disruptions and financial losses. Confidential customer or supplier data exposure appears limited based on available information, but any data manipulation could undermine trust and compliance with data protection regulations such as GDPR. The medium severity rating suggests the impact is moderate; however, organizations relying heavily on this system for critical business functions may experience more significant operational impacts. The absence of known exploits reduces immediate risk, but the public disclosure increases the likelihood of future exploitation attempts.

1. Immediate code review and sanitization: Organizations should audit the edit-category.php file and any other input handling code to ensure proper parameter validation and use of parameterized queries or prepared statements to prevent SQL injection. 2. Implement Web Application Firewall (WAF) rules: Deploy WAFs with custom rules to detect and block suspicious SQL injection payloads targeting the 'categorycode' parameter. 3. Restrict database permissions: Limit the database user privileges used by the application to only necessary operations, minimizing potential damage from injection attacks. 4. Monitor logs and alerts: Enable detailed logging of web application requests and database queries to detect anomalous activities indicative of exploitation attempts. 5. Patch management: Engage with PHPGurukul or community resources to obtain or develop patches addressing this vulnerability. Until official patches are available, consider temporary mitigations such as disabling the vulnerable functionality if feasible. 6. Network segmentation: Isolate the affected application servers from critical internal networks to reduce lateral movement risk if compromise occurs.