Attack Chain

1. An attacker identifies an instance of anirudhkannan Grocery Store Management System 1.0 running on a web server.
2. The attacker crafts a malicious HTTP POST request targeting the /Grocery/search_products_itname.php endpoint.
3. The crafted POST request includes the sitem_name parameter, containing SQL injection payload.
4. The web server receives the malicious request and passes the sitem_name value to the vulnerable SQL query without proper sanitization or escaping.
5. The injected SQL code is executed by the database server, allowing the attacker to manipulate the database.
6. The attacker uses SQL injection techniques (e.g., UNION SELECT, SLEEP()) to extract sensitive data, such as user credentials, product information, or financial records.
7. Depending on database privileges, the attacker could modify existing data (e.g., changing product prices, altering inventory levels) or insert new data (e.g., creating rogue administrator accounts).
8. The attacker achieves complete control over the database, potentially leading to full system compromise, data exfiltration, or denial-of-service.

Impact

Successful exploitation of CVE-2025-63939 can have severe consequences. An attacker could gain unauthorized access to sensitive customer data, including personal information, payment details, and order history. This can lead to financial losses, reputational damage, and legal liabilities for the affected grocery store. The attacker could also manipulate product information, alter pricing, or disrupt business operations. In a worst-case scenario, the attacker could gain complete control of the database server, leading to full system compromise and significant financial and operational losses. Given the widespread use of vulnerable versions, a large number of grocery stores using this software are potentially at risk.

Recommendation

• Apply the necessary patches or updates provided by the vendor to address CVE-2025-63939. If a patch is unavailable, consider implementing a web application firewall (WAF) rule to filter out malicious SQL injection attempts targeting the /Grocery/search_products_itname.php endpoint.
• Deploy the Sigma rule Detecting SQL Injection Attempts via sitem_name Parameter to your SIEM to identify potential exploitation attempts.
• Review and harden database access controls to limit the impact of successful SQL injection attacks.
• Monitor web server logs for suspicious POST requests to /Grocery/search_products_itname.php containing potentially malicious SQL syntax, as detected by Detecting SQL Injection Attempts via sitem_name Parameter.
• Inspect traffic for connections to the URL https://github.com/TREXNEGRO/Security-Advisories/tree/main/CVE-2025-63939 to identify potential reconnaissance activity.