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CVE Vulnerability Database

CVE-2024-4069: Online Furniture Shopping SQLI Vulnerability

CVE-2024-4069 is a critical SQL injection vulnerability in Online Furniture Shopping Ecommerce Website 1.0 affecting the search.php file. This article covers the technical details, affected versions, security impact, and mitigation.

Published:

CVE-2024-4069 Overview

CVE-2024-4069 is a SQL injection vulnerability affecting Kashipara Online Furniture Shopping Ecommerce Website version 1.0. The flaw resides in search.php, where the txtSearch parameter is concatenated into a SQL query without proper sanitization. Remote unauthenticated attackers can exploit the issue over the network to manipulate backend database queries. The exploit details have been disclosed publicly through VulDB entry VDB-261795, increasing the likelihood of opportunistic attacks. The vulnerability maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command.

Critical Impact

Unauthenticated remote attackers can inject arbitrary SQL through the txtSearch parameter of search.php, exposing the underlying database to data disclosure attacks.

Affected Products

  • Aditya88 Online Furniture Shopping Ecommerce Website 1.0
  • Kashipara Online Furniture Shopping Ecommerce Website 1.0
  • search.php component handling the txtSearch parameter

Discovery Timeline

  • 2024-04-23 - CVE-2024-4069 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-4069

Vulnerability Analysis

The vulnerability is a classic SQL injection in the search functionality of the Online Furniture Shopping Ecommerce Website. When a user submits a query, the application passes the txtSearch parameter directly into a SQL statement executed against the backend database. Because the input is not parameterized or escaped, attackers can break out of the intended string context and append arbitrary SQL clauses.

The attack requires no authentication and no user interaction. The CVSS vector indicates confidentiality impact only, meaning attackers can read sensitive records such as customer details, order data, and administrative credentials stored in the database.

Root Cause

The root cause is unsafe concatenation of user-controlled input into a SQL query within search.php. The application does not employ prepared statements, parameterized queries, or input validation routines against the txtSearch argument. This pattern is tracked as [CWE-89].

Attack Vector

An attacker submits a crafted HTTP request to search.php containing malicious SQL syntax in the txtSearch parameter. Typical payloads include UNION SELECT statements to enumerate database tables, boolean-based blind injection to infer data, or time-based payloads using SLEEP() to confirm exploitability. The attack is performed remotely over HTTP and does not require credentials.

A representative request would target the search endpoint with a payload such as txtSearch=test' UNION SELECT username,password FROM users-- -, causing the backend to return credential data alongside or in place of product results. See the GitHub Project Vulnerability Report for documented proof-of-concept details.

Detection Methods for CVE-2024-4069

Indicators of Compromise

  • HTTP requests to search.php containing SQL metacharacters such as single quotes, UNION, SELECT, --, or /* in the txtSearch parameter.
  • Web server logs showing unusually long or URL-encoded txtSearch values originating from a single source IP.
  • Database error messages or stack traces returned in HTTP responses from the search endpoint.
  • Outbound database queries referencing information_schema or system tables during search activity.

Detection Strategies

  • Deploy a Web Application Firewall (WAF) with SQL injection signatures tuned to inspect query and POST parameters submitted to search.php.
  • Enable verbose query logging on the backend database and alert on queries containing tautologies like 1=1 or stacked statements.
  • Correlate web access logs with database audit logs to identify search requests that trigger anomalous query patterns.

Monitoring Recommendations

  • Monitor for spikes in 500-series HTTP responses from search.php, which often indicate SQL syntax errors during injection probing.
  • Track requests to the search endpoint by source IP and flag clients issuing high volumes of unique txtSearch values.
  • Alert on database service accounts executing SELECT statements against authentication or administrative tables outside expected workflows.

How to Mitigate CVE-2024-4069

Immediate Actions Required

  • Restrict public access to the affected application until a patch is available, using IP allowlists or authentication gateways.
  • Deploy WAF rules that block SQL metacharacters and known injection payloads against the txtSearch parameter.
  • Audit the database for unauthorized access by reviewing recent queries and authentication events.
  • Rotate database credentials and any user passwords that may have been exposed through prior queries.

Patch Information

No vendor advisory or official patch has been published for Aditya88 Online Furniture Shopping Ecommerce Website 1.0. Organizations should consider migrating to a maintained ecommerce platform or applying source-level fixes that replace string concatenation with prepared statements using parameterized queries.

Workarounds

  • Modify search.php to use parameterized queries via PDO or MySQLi prepared statements instead of concatenating txtSearch into the SQL string.
  • Implement server-side input validation that restricts txtSearch to an allowlist of alphanumeric characters and spaces.
  • Configure the database account used by the web application with least-privilege permissions, removing rights to read sensitive tables outside the product catalog.
  • Disable verbose database error reporting in production responses to prevent information leakage during injection probing.
bash
# Example Apache mod_security rule to block obvious SQLi patterns in txtSearch
SecRule ARGS:txtSearch "@rx (?i)(union(\s|\+)+select|--|/\*|\bor\b\s+1=1|sleep\s*\()" \
    "id:1004069,phase:2,deny,status:403,log,msg:'CVE-2024-4069 SQLi attempt in txtSearch'"

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

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