CVE-2025-6823: Inventory Management System SQLi Flaw

CVE-2025-6823 Overview

A critical SQL injection vulnerability has been identified in Code-Projects Inventory Management System version 1.0. The vulnerability exists in the /php_action/editProduct.php file where the editProductName argument is not properly sanitized before being used in SQL queries. This flaw allows remote attackers to inject malicious SQL commands through the application's product editing functionality, potentially leading to unauthorized data access, modification, or deletion.

Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive database contents, modify or delete data, and potentially achieve further system compromise through the inventory management application.

Affected Products

Code-Projects Inventory Management System 1.0

Discovery Timeline

2025-06-28 - CVE-2025-6823 published to NVD
2025-07-01 - Last updated in NVD database

Technical Details for CVE-2025-6823

Vulnerability Analysis

This SQL injection vulnerability stems from improper handling of user-supplied input in the product editing functionality. The editProductName parameter in /php_action/editProduct.php is directly incorporated into SQL queries without adequate sanitization or parameterization. When a user submits data through the product editing form, the application fails to validate or escape special characters, allowing an attacker to manipulate the underlying SQL query structure.

The vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The exploit has been publicly disclosed and documented, increasing the risk of exploitation in the wild.

Root Cause

The root cause of this vulnerability is the absence of proper input validation and the use of unsanitized user input in SQL query construction. The application directly concatenates the editProductName parameter value into SQL statements without using prepared statements or parameterized queries. This classic injection vulnerability pattern allows attackers to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack can be initiated remotely over the network without requiring authentication. An attacker can craft a malicious request to the /php_action/editProduct.php endpoint containing SQL injection payloads in the editProductName parameter. By injecting specially crafted SQL syntax, attackers can:

Extract sensitive information from the database including user credentials, inventory data, and system configurations
Modify or delete database records
Bypass application authentication mechanisms
Potentially execute operating system commands if database permissions allow

The vulnerability is exploited by submitting a specially crafted HTTP request to the affected endpoint. The malicious payload is inserted into the editProductName field, where SQL metacharacters such as single quotes, semicolons, and UNION statements can be used to alter the query logic. For detailed technical information, see the GitHub Issue - CVE Discussion and VulDB #314261.

Detection Methods for CVE-2025-6823

Indicators of Compromise

Unusual SQL error messages in application logs referencing the editProduct.php endpoint
Unexpected HTTP POST requests to /php_action/editProduct.php with suspicious payloads containing SQL syntax
Database query logs showing anomalous queries with UNION, SELECT, or OR statements in product name fields
Evidence of data exfiltration or unauthorized data modifications in inventory records

Detection Strategies

Implement web application firewall (WAF) rules to detect SQL injection patterns in HTTP parameters
Monitor application logs for requests to editProduct.php containing SQL metacharacters such as ', ", ;, --, UNION, or SELECT
Deploy intrusion detection signatures targeting known SQL injection patterns in POST body parameters
Implement database activity monitoring to detect anomalous query patterns

Monitoring Recommendations

Enable verbose logging for the Inventory Management System application to capture all requests to PHP action endpoints
Configure real-time alerting for web server logs when SQL injection signatures are detected
Monitor database query logs for queries originating from the web application that contain unexpected clauses or syntax
Establish baseline metrics for normal application behavior to identify deviations indicating exploitation attempts

How to Mitigate CVE-2025-6823

Immediate Actions Required

Restrict network access to the Inventory Management System to trusted IP addresses only
Implement web application firewall rules to block SQL injection attempts targeting the editProduct.php endpoint
Review database permissions and apply principle of least privilege to the application database account
Consider temporarily disabling the product editing functionality until a patch is available

Patch Information

As of the last NVD update on 2025-07-01, no official patch has been released by Code-Projects for this vulnerability. Organizations using Inventory Management System 1.0 should monitor the Code Projects Security Resource for security updates and patch releases. Additional vulnerability details are available through VulDB CTI ID #314261.

Workarounds

Implement input validation at the application layer to sanitize the editProductName parameter before processing
Deploy a web application firewall to filter malicious SQL injection payloads
Modify the application code to use prepared statements or parameterized queries for all database operations
Apply network segmentation to isolate the inventory management system from critical infrastructure
Implement database access controls to limit the web application's database privileges

bash

# Example: Apache ModSecurity WAF rule to block SQL injection in editProductName
# Add to modsecurity.conf or rules configuration
SecRule ARGS:editProductName "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in editProductName parameter',\
    tag:'CVE-2025-6823'"