SQL Injection Vulnerability in anirudhkannan Grocery Store Management System 1.0 (CVE-2025-63939)
A critical SQL injection vulnerability (CVE-2025-63939) exists in the anirudhkannan Grocery Store Management System 1.0, allowing unauthenticated attackers to execute arbitrary SQL queries via the sitem_name POST parameter in /Grocery/search_products_itname.php.
CVE-2025-63939 is a SQL injection vulnerability found in anirudhkannan Grocery Store Management System version 1.0. The vulnerability resides in the /Grocery/search_products_itname.php script, specifically related to improper input handling of the sitem_name POST parameter. An unauthenticated attacker can exploit this vulnerability by injecting malicious SQL code into the sitem_name parameter, potentially leading to unauthorized access to the database, data exfiltration, modification, or even complete system compromise. The vulnerable software is a web application typically deployed on web servers, potentially exposing a wide range of grocery stores and related businesses to this critical flaw. This vulnerability was published on 2026-04-14.
Attack Chain
- An attacker identifies an instance of anirudhkannan Grocery Store Management System 1.0 running on a web server.
- The attacker crafts a malicious HTTP POST request targeting the
/Grocery/search_products_itname.phpendpoint. - The crafted POST request includes the
sitem_nameparameter, containing SQL injection payload. - The web server receives the malicious request and passes the
sitem_namevalue to the vulnerable SQL query without proper sanitization or escaping. - The injected SQL code is executed by the database server, allowing the attacker to manipulate the database.
- The attacker uses SQL injection techniques (e.g.,
UNION SELECT,SLEEP()) to extract sensitive data, such as user credentials, product information, or financial records. - 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).
- 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.phpendpoint. - Deploy the Sigma rule
Detecting SQL Injection Attempts via sitem_name Parameterto 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.phpcontaining potentially malicious SQL syntax, as detected byDetecting SQL Injection Attempts via sitem_name Parameter. - Inspect traffic for connections to the URL
https://github.com/TREXNEGRO/Security-Advisories/tree/main/CVE-2025-63939to identify potential reconnaissance activity.
Detection coverage 2
Detecting SQL Injection Attempts via sitem_name Parameter
criticalDetects potential SQL injection attempts targeting the sitem_name parameter in the /Grocery/search_products_itname.php endpoint.
Detecting Potential SQL Injection Error Responses
mediumDetects web server responses indicative of SQL injection errors, suggesting potential exploitation attempts.
Detection queries are kept inside the platform. Get full rules →
Indicators of compromise
1
1
url
| Type | Value |
|---|---|
| url | https://github.com/TREXNEGRO/Security-Advisories/tree/main/CVE-2025-63939 |
| [email protected] |