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CVE Vulnerability Database
Vulnerability Database/CVE-2024-0355

CVE-2024-0355: Phpgurukul Dairy Farm Shop SQLi Flaw

CVE-2024-0355 is a critical SQL injection vulnerability in Phpgurukul Dairy Farm Shop Management System affecting the add-category.php file. This article covers technical details, affected versions, impact, and mitigation.

Published: April 8, 2026

CVE-2024-0355 Overview

A SQL injection vulnerability has been identified in PHPGurukul Dairy Farm Shop Management System up to version 1.1. The vulnerability exists in the add-category.php file, where the category parameter is improperly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL statements, potentially leading to unauthorized data access, modification, or deletion. The exploit has been publicly disclosed, increasing the risk of active exploitation.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive database information, modify or delete data, and potentially gain complete control over the underlying database server without requiring any authentication.

Affected Products

  • PHPGurukul Dairy Farm Shop Management System version 1.1
  • PHPGurukul Dairy Farm Shop Management System versions prior to 1.1

Discovery Timeline

  • 2024-01-10 - CVE CVE-2024-0355 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-0355

Vulnerability Analysis

This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The vulnerable component resides in the add-category.php file of the Dairy Farm Shop Management System. When user-supplied input is passed through the category parameter, the application fails to properly sanitize or parameterize the input before incorporating it into SQL queries.

The lack of input validation allows attackers to manipulate database queries by injecting specially crafted SQL syntax. This can enable unauthorized access to the entire database, including customer records, financial information, and administrative credentials stored within the application.

Root Cause

The root cause of this vulnerability is the direct concatenation of user-supplied input into SQL queries without proper sanitization, escaping, or the use of prepared statements with parameterized queries. The application trusts user input from the category parameter and passes it directly to the database engine, creating an exploitable injection point.

Attack Vector

The attack is network-based and requires no authentication or user interaction. An attacker can craft malicious HTTP requests to the add-category.php endpoint with SQL injection payloads in the category parameter. The vulnerable endpoint processes this input and executes the injected SQL commands against the backend database.

The exploitation typically involves techniques such as:

  • Union-based injection to extract data from other tables
  • Boolean-based blind injection to infer database contents
  • Time-based blind injection using database sleep functions
  • Stacked queries to execute multiple SQL statements

Since no authentication is required, any remote attacker with network access to the application can exploit this vulnerability. Technical details are available in the Medium blog post documenting this vulnerability.

Detection Methods for CVE-2024-0355

Indicators of Compromise

  • Unusual or malformed HTTP requests to add-category.php containing SQL syntax characters (single quotes, UNION, SELECT, etc.)
  • Database error messages appearing in web server logs related to malformed SQL queries
  • Unexpected database queries or data exports in database audit logs
  • Anomalous outbound network traffic from the database server

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect SQL injection patterns in HTTP parameters targeting the category field
  • Monitor web server access logs for requests to add-category.php with suspicious parameter values containing SQL keywords
  • Implement database activity monitoring to detect unauthorized queries or unusual data access patterns
  • Configure intrusion detection systems (IDS) to alert on SQL injection attack signatures

Monitoring Recommendations

  • Enable verbose logging on the web application and database servers to capture all queries
  • Set up real-time alerting for database errors indicating SQL syntax issues from web application connections
  • Monitor for changes to sensitive database tables such as user credentials or administrative accounts
  • Review authentication logs for successful logins following failed SQL injection attempts

How to Mitigate CVE-2024-0355

Immediate Actions Required

  • Restrict network access to the affected application, limiting access to trusted IP addresses only
  • Implement a Web Application Firewall with SQL injection protection rules in front of the application
  • Review database audit logs for evidence of prior exploitation or unauthorized data access
  • Consider taking the application offline if it contains sensitive data until proper remediation is applied

Patch Information

At the time of publication, no official vendor patch has been released for this vulnerability. Organizations using PHPGurukul Dairy Farm Shop Management System should monitor the vendor for security updates. Additional vulnerability tracking information is available at VulDB #250122.

Workarounds

  • Implement prepared statements with parameterized queries in the add-category.php file manually
  • Deploy a reverse proxy with SQL injection filtering capabilities to sanitize incoming requests
  • Restrict database user privileges to limit potential damage from successful exploitation
  • Apply input validation to reject SQL metacharacters from the category parameter at the application level
bash
# Example: Apache mod_security rule to block SQL injection attempts
SecRule ARGS:category "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in category parameter'"

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

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.10%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • Medium Blog SQL Injection Vulnerability

  • VulDB #250122

  • VulDB #250122
  • Related CVEs
  • CVE-2025-5574: Dairy Farm Shop Management System SQLi Flaw

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

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

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