CVE-2025-5579: Dairy Farm Shop Management SQL Injection

CVE-2025-5579 Overview

A critical SQL injection vulnerability has been identified in PHPGurukul Dairy Farm Shop Management System version 1.3. The vulnerability exists in the /search-product.php file, where the productname parameter is not properly sanitized, allowing attackers to inject malicious SQL queries. This flaw can be exploited remotely without authentication, potentially enabling unauthorized database access, data manipulation, or complete system compromise.

Critical Impact

Unauthenticated attackers can remotely exploit this SQL injection vulnerability to access, modify, or delete sensitive database information including customer records, product data, and potentially administrative credentials.

Affected Products

• PHPGurukul Dairy Farm Shop Management System version 1.3
• Installations using the vulnerable /search-product.php endpoint
• Any deployment exposing the product search functionality to untrusted networks

Discovery Timeline

• June 4, 2025 - CVE-2025-5579 published to NVD
• June 4, 2025 - Last updated in NVD database

Technical Details for CVE-2025-5579

Vulnerability Analysis

This SQL injection vulnerability (classified under CWE-89: SQL Injection and CWE-74: Improper Neutralization of Special Elements) affects the product search functionality within the Dairy Farm Shop Management System. The vulnerable component is the /search-product.php file, which accepts user input through the productname parameter without adequate sanitization or parameterized queries.

When a user submits a search query, the application directly concatenates the productname value into SQL statements, creating an injection point that attackers can leverage. The network-accessible nature of this vulnerability means any user who can reach the web application can attempt exploitation without requiring prior authentication or elevated privileges.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries or prepared statements in the product search functionality. The productname parameter from user input is directly incorporated into SQL queries without proper escaping or sanitization, violating secure coding principles for database interactions.

Attack Vector

The attack can be launched remotely over the network against any exposed instance of the Dairy Farm Shop Management System. An attacker can craft malicious input in the productname search field to execute arbitrary SQL commands against the backend database.

The exploitation process involves submitting specially crafted input through the product search form that includes SQL syntax. When the application processes this input, the injected SQL commands are executed with the same privileges as the database user configured for the application, potentially allowing:

• Extraction of sensitive data from the database (customer information, sales records)
• Modification or deletion of existing records
• Authentication bypass through credential extraction
• Potential server-side command execution depending on database configuration

For detailed technical information about this vulnerability, refer to the GitHub CVE Issue Discussion and the VulDB entry #311036.

Detection Methods for CVE-2025-5579

Indicators of Compromise

• Unusual database queries or errors in application logs originating from /search-product.php
• Unexpected special characters (single quotes, semicolons, UNION keywords) in web server access logs for the search endpoint
• Database audit logs showing unauthorized SELECT, UPDATE, or DELETE operations
• Signs of data exfiltration or unexpected outbound connections from the database server

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the productname parameter
• Monitor web server access logs for suspicious patterns in requests to /search-product.php
• Enable database query logging and alert on anomalous query structures or execution times
• Deploy intrusion detection systems with SQL injection signature detection capabilities

Monitoring Recommendations

• Configure real-time alerting for database errors and exceptions related to malformed queries
• Establish baseline metrics for normal search query patterns and alert on deviations
• Monitor for unauthorized data access patterns in database audit trails
• Implement log correlation between web server and database logs for comprehensive visibility

How to Mitigate CVE-2025-5579

Immediate Actions Required

• Restrict network access to the Dairy Farm Shop Management System to trusted IP addresses only
• Implement a Web Application Firewall (WAF) with SQL injection protection rules
• Review and audit all user inputs to the /search-product.php endpoint
• Consider temporarily disabling the product search functionality until a patch is applied

Patch Information

At the time of publication, no official vendor patch has been released for this vulnerability. System administrators should monitor the PHPGurukul website for security updates and apply patches as soon as they become available. In the absence of an official fix, organizations should implement the workarounds listed below and consider the feasibility of manually patching the vulnerable code.

Workarounds

• Implement input validation to reject special SQL characters in the productname parameter
• Modify the vulnerable code to use prepared statements with parameterized queries
• Deploy a reverse proxy or WAF to filter malicious SQL injection attempts
• Restrict database user permissions to minimum required privileges (principle of least privilege)
• Consider isolating the application in a segmented network zone to limit exposure

# Example WAF rule configuration for ModSecurity
SecRule ARGS:productname "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attempt Detected in productname parameter',\
    logdata:'Matched Data: %{MATCHED_VAR}',\
    severity:'CRITICAL'"