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CVE Vulnerability Database
Vulnerability Database/CVE-2025-5575

CVE-2025-5575: Dairy Farm Shop Management System SQLi

CVE-2025-5575 is a critical SQL injection vulnerability in PHPGurukul Dairy Farm Shop Management System 1.3 that allows remote attackers to manipulate database queries. This article covers technical details, affected versions, and mitigation.

Published: March 18, 2026

CVE-2025-5575 Overview

A critical SQL injection vulnerability has been discovered in PHPGurukul Dairy Farm Shop Management System version 1.3. The vulnerability exists in the /add-product.php file where improper handling of the productname parameter allows attackers to inject malicious SQL commands. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, modification, or deletion.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially compromise the underlying server through database-level attacks.

Affected Products

  • PHPGurukul Dairy Farm Shop Management System version 1.3
  • Applications using the vulnerable /add-product.php endpoint
  • Web servers hosting unpatched instances of this management system

Discovery Timeline

  • 2025-06-04 - CVE-2025-5575 published to NVD
  • 2025-06-05 - Last updated in NVD database

Technical Details for CVE-2025-5575

Vulnerability Analysis

This SQL injection vulnerability affects the product management functionality within PHPGurukul Dairy Farm Shop Management System. The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The flaw allows attackers to inject arbitrary SQL code through the productname parameter in the /add-product.php file, which is processed without proper sanitization or parameterized queries.

The vulnerability can be exploited remotely over the network without requiring any authentication or user interaction. Successful exploitation could allow attackers to read sensitive database information, modify or delete records, and potentially escalate to broader system compromise depending on database privileges. The exploit has been publicly disclosed, increasing the risk of active exploitation.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and sanitization for the productname parameter in the /add-product.php file. The application directly incorporates user-supplied input into SQL queries without using prepared statements or parameterized queries, allowing special SQL characters and commands to be interpreted by the database engine. This is a classic example of improper input handling that enables SQL injection attacks.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication. An attacker can craft malicious HTTP requests to the /add-product.php endpoint, embedding SQL injection payloads within the productname parameter. The vulnerability requires no user interaction and can be exploited with low attack complexity.

The attack typically involves sending specially crafted input containing SQL syntax (such as single quotes, UNION statements, or boolean-based payloads) to probe and extract database information. Since the exploit has been publicly disclosed, attackers can leverage existing techniques to target vulnerable installations.

For technical details about the vulnerability, refer to the GitHub CVE Issue Discussion and VulDB #311032.

Detection Methods for CVE-2025-5575

Indicators of Compromise

  • Unusual HTTP requests to /add-product.php containing SQL injection patterns such as single quotes, UNION SELECT statements, or OR 1=1 conditions
  • Database error messages exposed in application responses indicating SQL syntax errors
  • Unexpected database queries or access patterns in database logs
  • Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the productname parameter
  • Monitor web server access logs for suspicious requests to /add-product.php with encoded or malformed parameters
  • Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
  • Enable database query logging and alert on anomalous query structures

Monitoring Recommendations

  • Configure real-time alerting for HTTP 500 errors from the /add-product.php endpoint that may indicate exploitation attempts
  • Monitor for bulk data transfers or unusual SELECT statements in database audit logs
  • Track failed login attempts and privilege escalation activities that may follow successful SQL injection
  • Implement application-level logging to capture all input parameters submitted to vulnerable endpoints

How to Mitigate CVE-2025-5575

Immediate Actions Required

  • Take the affected Dairy Farm Shop Management System offline or restrict access to the /add-product.php endpoint until patching is complete
  • Implement input validation and WAF rules to filter SQL injection payloads targeting the productname parameter
  • Review database logs for evidence of prior exploitation and assess potential data compromise
  • Rotate database credentials and review database user privileges to limit potential damage

Patch Information

No official vendor patch has been released at the time of this publication. Organizations should monitor the PHPGurukul website for security updates. In the absence of an official patch, implementing the workarounds below is critical to reduce exposure.

Workarounds

  • Implement prepared statements or parameterized queries for all database operations involving user input in the affected PHP file
  • Deploy a Web Application Firewall (WAF) configured to block SQL injection patterns
  • Restrict network access to the application to trusted IP addresses only
  • Apply input validation to reject special characters commonly used in SQL injection attacks
bash
# Configuration example for blocking SQL injection via .htaccess
# Add to your web root .htaccess file
RewriteEngine On
RewriteCond %{QUERY_STRING} [a-zA-Z0-9_]=.*(\%27|\'|--) [NC,OR]
RewriteCond %{QUERY_STRING} [a-zA-Z0-9_]=(.*union.*select) [NC,OR]
RewriteCond %{QUERY_STRING} [a-zA-Z0-9_]=(.*or.*1.*=.*1) [NC]
RewriteRule .* - [F,L]

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPhpgurukul Dairy Farm Shop Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.07%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74

  • CWE-89
  • Technical References
  • GitHub CVE Issue Discussion

  • PHP Gurukul Blog Resource

  • VulDB CTI ID #311032

  • VulDB #311032

  • VulDB Submission #588785
  • Related CVEs
  • CVE-2025-5574: Dairy Farm Shop Management System SQLi Flaw

  • CVE-2025-5576: Dairy Farm Shop Management System SQLi

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

  • CVE-2025-5578: Dairy Farm Shop Management System SQLi Flaw
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