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CVE Vulnerability Database
Vulnerability Database/CVE-2024-1971

CVE-2024-1971: Surya2developer Shopping System SQLi Flaw

CVE-2024-1971 is a critical SQL injection vulnerability in Surya2developer Online Shopping System 1.0 affecting the login.php password parameter. This article covers technical details, affected versions, and mitigation.

Published: April 8, 2026

CVE-2024-1971 Overview

A critical SQL injection vulnerability has been identified in Surya2Developer Online Shopping System version 1.0. The vulnerability exists in the login.php file within the POST Parameter Handler component. By manipulating the password argument with a crafted SQL injection payload, an unauthenticated attacker can bypass authentication mechanisms and gain unauthorized access to the application. The exploit has been publicly disclosed, increasing the risk of exploitation in the wild.

Critical Impact

This SQL injection vulnerability allows remote, unauthenticated attackers to bypass authentication and potentially access, modify, or delete sensitive data in the backend database. Given the e-commerce nature of this application, customer payment information and personal data may be at risk.

Affected Products

  • Surya2Developer Online Shopping System 1.0

Discovery Timeline

  • 2024-02-29 - CVE-2024-1971 published to NVD
  • 2024-12-17 - Last updated in NVD database

Technical Details for CVE-2024-1971

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw in the authentication mechanism of an e-commerce application. The login.php file fails to properly sanitize user-supplied input in the password POST parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL commands that are executed by the database server with the same privileges as the application's database user.

The vulnerability is particularly severe because it targets the authentication endpoint, which is publicly accessible and does not require any prior authentication. An attacker can exploit this weakness to completely bypass the login mechanism and gain administrative access to the shopping system.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The application directly concatenates user-supplied data from the password POST parameter into SQL statements without using parameterized queries or prepared statements. This allows specially crafted input containing SQL syntax to alter the intended query logic.

Attack Vector

The attack is network-based and can be executed remotely without any authentication or user interaction. An attacker sends a malicious HTTP POST request to login.php with a crafted payload in the password parameter. The disclosed payload format nochizplz'+or+1%3d1+limit+1%23 demonstrates a typical authentication bypass technique where:

  • The single quote closes the original string parameter
  • or 1=1 creates a condition that always evaluates to true
  • limit 1 ensures only one record is returned
  • # comments out the remainder of the original query

This manipulation causes the authentication query to return a valid user record regardless of the actual password provided, effectively bypassing login controls.

For detailed technical information about this vulnerability, refer to the GitHub SQL Injection Exploit documentation and the VulDB entry #255127.

Detection Methods for CVE-2024-1971

Indicators of Compromise

  • Unusual authentication success events from unknown or suspicious IP addresses
  • HTTP POST requests to login.php containing SQL injection patterns such as single quotes, OR statements, or comment characters (#, --)
  • Database query logs showing malformed or suspicious queries originating from the authentication module
  • Multiple failed login attempts followed by a sudden successful login from the same source

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST parameters targeting login.php
  • Implement application-level logging to capture all authentication requests and analyze for injection attempts
  • Use database activity monitoring to flag queries containing SQL injection indicators such as OR 1=1 or UNION SELECT
  • Configure intrusion detection systems (IDS) to alert on URL-encoded SQL injection payloads

Monitoring Recommendations

  • Enable verbose logging on web servers to capture full POST request bodies for authentication endpoints
  • Monitor for anomalous database query patterns or execution times that may indicate injection attacks
  • Set up alerts for successful authentication events from previously unknown user agents or geolocations
  • Regularly review access logs for patterns consistent with automated SQL injection scanning tools

How to Mitigate CVE-2024-1971

Immediate Actions Required

  • Immediately restrict public access to the Online Shopping System until remediation is complete
  • Implement a Web Application Firewall (WAF) with SQL injection protection rules as a temporary barrier
  • Review database logs for evidence of prior exploitation and reset any compromised credentials
  • Consider placing the application behind VPN access or IP whitelisting as an interim measure

Patch Information

No official vendor patch has been released for this vulnerability. The Surya2Developer Online Shopping System appears to be an open-source or community project without formal security support. Organizations using this software should consider migrating to a more actively maintained e-commerce platform or implementing the workarounds described below.

For additional context and technical details, refer to the VulDB CTI entry.

Workarounds

  • Modify the login.php source code to use prepared statements or parameterized queries for all database interactions
  • Implement input validation to reject or sanitize special characters in the password field before processing
  • Deploy a reverse proxy with ModSecurity or similar WAF module configured with OWASP Core Rule Set
  • Add rate limiting to the login endpoint to slow down automated exploitation attempts
  • Implement multi-factor authentication as an additional security layer
bash
# Example ModSecurity rule to block SQL injection attempts
SecRule ARGS:password "@rx (?i)(\'|\"|;|--|#|\/\*|\*\/|union|select|or\s+1\s*=\s*1)" \
    "id:100001,phase:2,deny,status:403,log,msg:'SQL Injection Attempt Blocked'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSurya2developer Online Shopping System

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.07%

  • 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
  • GitHub SQL Injection Exploit

  • VulDB #255127 CTI

  • VulDB #255127
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