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CVE Vulnerability Database
Vulnerability Database/CVE-2024-5064

CVE-2024-5064: PHPGurukul Course Registration SQLi Flaw

CVE-2024-5064 is a critical SQL injection vulnerability in PHPGurukul Online Course Registration System 3.1 affecting news-details.php. Attackers can exploit the nid parameter remotely. This article covers technical details, impact, and mitigation.

Published: April 15, 2026

CVE-2024-5064 Overview

A critical SQL Injection vulnerability has been identified in PHPGurukul Online Course Registration System version 3.1. The vulnerability exists in the news-details.php file, where improper handling of the nid parameter allows attackers to inject malicious SQL queries. This unauthenticated attack vector enables remote exploitation, potentially compromising the entire database and any sensitive information stored within the application.

Critical Impact

Unauthenticated remote attackers can exploit this SQL Injection vulnerability to extract sensitive data, modify database contents, or potentially gain unauthorized access to the underlying system through database-level attacks.

Affected Products

  • PHPGurukul Online Course Registration System 3.1
  • Applications using the vulnerable news-details.php component
  • Deployments with publicly accessible course registration portals

Discovery Timeline

  • 2024-05-17 - CVE-2024-5064 published to NVD
  • 2025-03-03 - Last updated in NVD database

Technical Details for CVE-2024-5064

Vulnerability Analysis

This vulnerability is classified as SQL Injection (CWE-89), a web application security flaw that occurs when user-supplied input is not properly validated or sanitized before being incorporated into SQL queries. In the case of CVE-2024-5064, the news-details.php file fails to properly sanitize the nid parameter before using it in database queries.

The vulnerability is particularly dangerous because it does not require authentication, meaning any remote attacker with network access to the application can exploit it. Successful exploitation could lead to unauthorized data access, data modification, data deletion, or in severe cases, complete database compromise.

Root Cause

The root cause of this vulnerability lies in the improper input validation within the news-details.php file. The nid parameter, which is expected to contain a numeric identifier for news items, is directly incorporated into SQL queries without adequate sanitization or parameterized query implementation. This allows attackers to inject arbitrary SQL syntax that gets executed by the database engine.

Attack Vector

The attack is network-based and can be initiated remotely without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads in the nid parameter of the news-details.php endpoint. The vulnerability has been publicly disclosed with proof-of-concept information available, as documented in the GitHub SQL Injection PoC.

The attack leverages standard SQL injection techniques where the malicious input manipulates the underlying SQL query structure. Without proper parameterized queries or input validation, the database interprets the injected SQL commands as legitimate query components, executing them with the same privileges as the application's database user.

Detection Methods for CVE-2024-5064

Indicators of Compromise

  • Unusual HTTP requests to news-details.php containing SQL syntax characters such as single quotes, semicolons, or SQL keywords
  • Database error messages in application logs indicating malformed SQL queries
  • Unexpected database queries or access patterns in database audit logs
  • Signs of data exfiltration or unauthorized database modifications

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the nid parameter
  • Monitor web server access logs for requests to news-details.php with suspicious query string patterns
  • Configure database auditing to track unusual query patterns or unauthorized data access
  • Deploy intrusion detection systems with SQL injection signature rules

Monitoring Recommendations

  • Enable detailed logging for the news-details.php endpoint and review logs regularly for anomalous requests
  • Set up alerts for database errors that may indicate injection attempts
  • Monitor for unexpected increases in database query volume or response times
  • Track outbound network connections from the database server that could indicate data exfiltration

How to Mitigate CVE-2024-5064

Immediate Actions Required

  • Restrict network access to the affected Online Course Registration System to trusted IP addresses only
  • Implement a Web Application Firewall with SQL injection protection rules in front of the application
  • Review and audit all user input handling in the application, particularly the nid parameter
  • Consider temporarily disabling the news-details.php functionality if not critical to operations

Patch Information

At the time of this analysis, no official patch has been released by PHPGurukul for this vulnerability. Organizations using the affected software should monitor the vendor's official channels for security updates. Additional technical details and threat intelligence can be found at VulDB #264923.

Workarounds

  • Implement input validation to ensure the nid parameter only accepts numeric values before processing
  • Use prepared statements or parameterized queries to prevent SQL injection attacks
  • Deploy a Web Application Firewall to filter malicious requests before they reach the application
  • Implement the principle of least privilege for the database user account used by the application
  • Consider using an application-level proxy to sanitize all incoming requests
bash
# Example Apache mod_rewrite rule to block suspicious nid parameter values
RewriteEngine On
RewriteCond %{QUERY_STRING} nid=.*['\";] [NC,OR]
RewriteCond %{QUERY_STRING} nid=.*(union|select|insert|drop|update|delete) [NC]
RewriteRule ^news-details\.php - [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

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.20%

  • 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-89
  • Technical References
  • GitHub SQL Injection PoC

  • VulDB #264923 CTI

  • VulDB #264923

  • VulDB Submission #336238
  • Related CVEs
  • CVE-2026-5839: PHPGurukul News Portal SQLi Vulnerability

  • CVE-2026-5840: PHPGurukul News Portal SQLi Vulnerability

  • CVE-2026-5814: PHPGurukul Online Course Registration SQLi

  • CVE-2026-5640: PHPGurukul Shopping Portal SQLi Flaw
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