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CVE-2026-3148: Shopping Cart Script SQL Injection Flaw

CVE-2026-3148 is a SQL injection vulnerability in Simple and Nice Shopping Cart Script 1.0 affecting the signup.php file. Attackers can exploit the Username parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-3148 Overview

A SQL injection vulnerability has been identified in SourceCodester Simple and Nice Shopping Cart Script version 1.0. This vulnerability affects the /signup.php file, where improper handling of the Username argument allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially allowing attackers to manipulate database queries, extract sensitive information, or modify data within the application's database.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection flaw to access, modify, or delete database contents, potentially compromising user credentials, payment information, and other sensitive e-commerce data.

Affected Products

  • Haben-cs9 Simple and Nice Shopping Cart Script version 1.0

Discovery Timeline

  • 2026-02-25 - CVE-2026-3148 published to NVD
  • 2026-02-25 - Last updated in NVD database

Technical Details for CVE-2026-3148

Vulnerability Analysis

This vulnerability is classified as SQL Injection (CWE-89) and falls under the broader category of Injection flaws (CWE-74). The vulnerability exists in the user registration functionality of the shopping cart application, specifically within the /signup.php endpoint.

The application fails to properly sanitize or parameterize the Username input field before incorporating it into SQL queries. This allows an attacker to craft malicious input that breaks out of the intended SQL query structure and executes arbitrary SQL commands against the backend database.

Given the context of an e-commerce application, successful exploitation could lead to unauthorized access to customer data, order information, payment details, and administrator credentials stored in the database.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries or prepared statements in the /signup.php file. The application directly concatenates user-supplied input from the Username field into SQL queries without proper sanitization, escaping, or the use of parameterized queries.

This represents a failure to follow secure coding practices for database interactions, where all user input should be treated as untrusted and properly handled through prepared statements or stored procedures with bound parameters.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no authentication or user interaction. An attacker can exploit this vulnerability by:

  1. Navigating to the /signup.php registration page
  2. Inserting SQL injection payloads into the Username field
  3. Submitting the form to trigger the malicious query execution

The vulnerability allows for various SQL injection techniques including UNION-based extraction, blind SQL injection, and potentially time-based inference attacks depending on the database configuration.

Due to the public disclosure of this vulnerability, technical details and exploitation methods are available in the GitHub Issue Discussion. Additional information can be found in the VulDB Entry #347654.

Detection Methods for CVE-2026-3148

Indicators of Compromise

  • Unusual or malformed entries in the Username field containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
  • Database error messages exposed in application responses or logs
  • Unexpected database query patterns in SQL server logs
  • Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST requests to /signup.php
  • Monitor application logs for SQL syntax errors or unusual database exceptions originating from the signup functionality
  • Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
  • Review web server access logs for suspicious requests targeting the /signup.php endpoint with encoded or unusual payloads

Monitoring Recommendations

  • Enable detailed logging for database queries to identify injection attempts
  • Configure alerts for multiple failed registration attempts from the same IP address
  • Monitor for database connection anomalies or unexpected query execution times
  • Implement real-time log analysis for web application and database tiers

How to Mitigate CVE-2026-3148

Immediate Actions Required

  • Restrict access to the /signup.php endpoint until a patch is applied or implement additional input validation
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules
  • Review and audit all user registration data for signs of exploitation or injected content
  • Consider temporarily disabling new user registration if the application is in production with sensitive data

Patch Information

At the time of publication, no official patch has been released by the vendor. Organizations using this software should monitor the SourceCodester website for security updates.

In the absence of an official patch, organizations should consider implementing the workarounds listed below or discontinuing use of the affected software until a fix is available.

Workarounds

  • Implement input validation to reject special SQL characters in the Username field
  • Modify the /signup.php code to use prepared statements with parameterized queries
  • Deploy a reverse proxy or WAF to filter malicious input before it reaches the application
  • Apply the principle of least privilege to the database user account used by the application to limit potential damage from SQL injection
bash
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:Username "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection attempt detected in Username field',\
    logdata:'Matched Data: %{MATCHED_VAR}',\
    severity:'CRITICAL'"

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

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