CVE-2025-5579 is a SQL Injection vulnerability identified in version 1.3 of the PHPGurukul Dairy Farm Shop Management System. The vulnerability exists in the /search-product.php file, specifically in the handling of the 'productname' parameter. An attacker can manipulate this parameter to inject malicious SQL code, which the system then executes on the backend database. This type of injection allows an attacker to interfere with the queries that the application makes to its database, potentially enabling unauthorized data access, data modification, or even complete compromise of the database. The vulnerability is remotely exploitable without requiring authentication or user interaction, making it particularly dangerous. The CVSS 4.0 score is 6.9, indicating a medium severity level, reflecting that while the attack vector is network-based and requires no privileges or user interaction, the impact on confidentiality, integrity, and availability is limited to low. The vulnerability has been publicly disclosed, but no known exploits are currently reported in the wild. However, the public disclosure increases the risk of exploitation attempts by attackers. The affected product is a niche management system used primarily in dairy farm retail environments, which may limit the scope of affected organizations but still poses a significant risk to those using this software version.

For European organizations using the PHPGurukul Dairy Farm Shop Management System version 1.3, this vulnerability could lead to unauthorized access to sensitive business data such as product inventories, pricing, and customer information. Exploitation could result in data leakage, unauthorized data manipulation, or disruption of shop management operations. Given the nature of the software, which supports retail operations in dairy farm shops, the impact could extend to financial losses, reputational damage, and operational downtime. While the vulnerability does not appear to allow full system compromise, the ability to execute arbitrary SQL commands can facilitate further attacks or data exfiltration. European organizations in the agricultural and retail sectors that rely on this software should consider the potential regulatory implications, including GDPR compliance risks if personal data is exposed. The medium severity rating suggests that while the threat is significant, it may not lead to catastrophic outcomes if promptly mitigated.

To mitigate this vulnerability, organizations should first verify if they are running PHPGurukul Dairy Farm Shop Management System version 1.3. Since no official patch links are provided, immediate mitigation should focus on implementing input validation and parameterized queries or prepared statements in the /search-product.php file to prevent SQL injection. If source code modification is possible, developers should sanitize and validate the 'productname' input rigorously, employing whitelist filtering and escaping special characters. Network-level protections such as Web Application Firewalls (WAFs) can be configured to detect and block SQL injection patterns targeting the vulnerable parameter. Additionally, monitoring and logging database queries for anomalous activity can help detect exploitation attempts early. Organizations should also consider isolating the affected system from critical networks and restrict database user permissions to the minimum necessary to limit potential damage. Finally, contacting the vendor for official patches or updates and planning an upgrade to a fixed version once available is recommended.