CVE-2025-63939: Grocery Store Management System SQLi Flaw

CVE-2025-63939 Overview

CVE-2025-63939 is a SQL Injection vulnerability affecting anirudhkannan Grocery Store Management System version 1.0. The vulnerability exists in the /Grocery/search_products_itname.php endpoint, where improper input handling allows attackers to inject malicious SQL commands via the sitem_name POST parameter. This classic SQL injection flaw can enable unauthorized database access, data exfiltration, and potential complete system compromise.

Critical Impact

Unauthenticated attackers can exploit this SQL injection to access, modify, or delete sensitive database contents, potentially leading to full database compromise and exposure of customer information.

Affected Products

• anirudhkannan Grocery Store Management System 1.0
• /Grocery/search_products_itname.php endpoint

Discovery Timeline

• 2026-04-14 - CVE-2025-63939 published to NVD
• 2026-04-14 - Last updated in NVD database

Technical Details for CVE-2025-63939

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw occurs in the product search functionality of the Grocery Store Management System, specifically within the search_products_itname.php file.

When users search for products by name, the application accepts user input through the sitem_name POST parameter. However, the application fails to properly sanitize or parameterize this input before incorporating it into SQL queries. This allows attackers to break out of the intended query structure and inject arbitrary SQL commands that will be executed by the database server.

The network-accessible nature of this vulnerability, combined with the lack of authentication requirements and low attack complexity, makes it particularly dangerous for any exposed instances of this application.

Root Cause

The root cause of CVE-2025-63939 is the direct concatenation of user-supplied input into SQL query strings without proper sanitization, escaping, or the use of parameterized queries (prepared statements). The sitem_name POST parameter is incorporated into database queries in an unsafe manner, allowing metacharacters like single quotes, semicolons, and SQL keywords to be interpreted as part of the query structure rather than as literal data.

Attack Vector

An attacker can exploit this vulnerability by sending a specially crafted HTTP POST request to the /Grocery/search_products_itname.php endpoint. The malicious payload is delivered through the sitem_name parameter. Since no authentication is required and the attack can be performed remotely over the network, any instance of the vulnerable application exposed to the internet or accessible network is at risk.

Successful exploitation could allow an attacker to:

• Extract sensitive data from the database (customer information, credentials)
• Modify or delete database records
• Execute administrative operations on the database
• Potentially achieve remote code execution if database features like xp_cmdshell (MSSQL) or INTO OUTFILE (MySQL) are available

For technical details and proof of concept, refer to the GitHub Security Advisory.

Detection Methods for CVE-2025-63939

Indicators of Compromise

• Unusual or malformed requests to /Grocery/search_products_itname.php containing SQL metacharacters such as single quotes, double dashes, semicolons, or SQL keywords
• Database error messages appearing in web server logs or HTTP responses
• Unexpected database queries or data access patterns in database audit logs
• Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST parameters
• Monitor web server access logs for requests to search_products_itname.php with suspicious payloads
• Enable database query logging and alert on anomalous query structures or error rates
• Implement intrusion detection system (IDS) signatures for SQL injection attack patterns

Monitoring Recommendations

• Configure real-time alerting for SQL syntax errors in application and database logs
• Monitor for unusual data access volumes or patterns from the application database user
• Track failed and successful database authentication attempts
• Review network traffic to and from the web application for signs of data exfiltration

How to Mitigate CVE-2025-63939

Immediate Actions Required

• If possible, take the vulnerable Grocery Store Management System offline until a fix is applied
• Implement Web Application Firewall (WAF) rules to filter SQL injection attempts targeting the sitem_name parameter
• Restrict network access to the application to trusted IP ranges only
• Review database and application logs for signs of exploitation

Patch Information

As of the last update on 2026-04-14, no official vendor patch has been released. Users should monitor the GitHub Security Advisory for updates and consider implementing code-level fixes or workarounds.

Workarounds

• Implement input validation and sanitization for the sitem_name parameter, rejecting any input containing SQL metacharacters
• Modify the application code to use parameterized queries (prepared statements) instead of string concatenation for database operations
• Apply the principle of least privilege to the database user account used by the application
• Deploy a reverse proxy or WAF in front of the application to filter malicious requests

# Example: Block access to vulnerable endpoint via .htaccess (Apache)
<Files "search_products_itname.php">
    Order Deny,Allow
    Deny from all
    # Allow only trusted IPs if needed
    # Allow from 192.168.1.0/24
</Files>