CVE-2025-63939
SQL Injection in Grocery Store Management System Search Module
Publication date: 2026-04-14
Last updated on: 2026-04-14
Assigner: MITRE
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| anirudhkannan | grocery_store_management_system | 1.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2025-63939 is a critical SQL injection vulnerability found in version 1.0 of the Grocery Store Management System by anirudhkannanvp. It occurs in the search_products_itname.php endpoint due to improper input handling of the sitem_name POST parameter.
The vulnerability arises because the sitem_name parameter is directly embedded into an SQL query without sanitization or use of parameterized queries, allowing attackers to manipulate the SQL logic.
Attackers can inject malicious SQL payloads that break out of the intended query context, enabling them to perform boolean-based blind and in-band SQL injection attacks.
This allows attackers to enumerate database contents, extract sensitive information such as database schema, table data, and credentials, and potentially achieve full backend compromise.
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized access to sensitive data stored in the database, such as product information and potentially user credentials.
Attackers can manipulate or destroy data, compromising data integrity and availability.
It may lead to full backend system compromise, allowing attackers to execute arbitrary commands or further penetrate the network.
The vulnerability has a critical CVSS v3.1 score of 9.8, indicating high impact on confidentiality, integrity, and availability.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the `search_products_itname.php` endpoint for SQL injection via the `sitem_name` POST parameter.
You can send crafted POST requests with SQL injection payloads to observe if the application is vulnerable. For example, injecting boolean expressions such as `OR 3*2*1=6 AND 000267=000267 --` can help determine if the input is improperly sanitized.
A sample curl command to test the vulnerability might be:
- curl -X POST -d "sitem_name=' OR 3*2*1=6 AND 000267=000267 -- " http://target/Grocery/search_products_itname.php
If the response indicates a successful query or reveals database information, it confirms the presence of the SQL injection vulnerability.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Replace direct SQL string interpolation with parameterized queries or prepared statements using PDO or MySQLi.
- Implement strict input validation and whitelisting to ensure the `sitem_name` parameter contains only expected characters, such as alphanumeric characters.
- Use least-privilege database credentials to restrict permissions and prevent destructive operations.
- Apply query timeouts to mitigate blind timing attacks.
- Deploy a Web Application Firewall (WAF) as a temporary control to block malicious requests.
- Disable detailed SQL error messages in production environments to avoid information leakage.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
This SQL injection vulnerability allows attackers to extract sensitive information such as database schema, table data, and credentials, potentially leading to unauthorized access and data breaches.
Such unauthorized data exposure and compromise of confidentiality, integrity, and availability can result in non-compliance with common standards and regulations like GDPR and HIPAA, which mandate protection of personal and sensitive data.
Failure to mitigate this vulnerability could lead to violations of data protection requirements, resulting in legal and financial consequences under these regulations.