CVE-2026-6148
Remote SQL Injection in Vehicle Showroom Management System
Publication date: 2026-04-13
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| code-projects | vehicle_showroom_management_system | 1.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
| 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?
This vulnerability is a SQL injection flaw found in the Vehicle Showroom Management System version 1.0, specifically in the file /util/MonthTotalReportUpdateFunction.php. It occurs because the BRANCH_ID parameter is not properly validated or sanitized before being used in SQL queries. Attackers can manipulate this parameter remotely to inject malicious SQL code, which allows unauthorized access and manipulation of the database.
How can this vulnerability impact me? :
Exploitation of this vulnerability can lead to unauthorized database access, data leakage, and data tampering. Attackers may gain full control over the system, disrupt services, and compromise business continuity. The attack does not require any user authentication or authorization, making it easier for attackers to exploit remotely.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This SQL injection vulnerability can be detected by testing the BRANCH_ID parameter in the /util/MonthTotalReportUpdateFunction.php file for injection points.
Proof-of-concept tests used boolean-based blind SQL injection and time-based blind SQL injection techniques.
Example payloads to test the vulnerability include:
- BRANCH_ID=111' RLIKE (SELECT (CASE WHEN (4347=4347) THEN 111 ELSE 0x28 END))
- BRANCH_ID=111' AND (SELECT 2069 FROM (SELECT(SLEEP(5)))zkCs)
These payloads can be used with tools like sqlmap to confirm the presence of the SQL injection vulnerability.
What immediate steps should I take to mitigate this vulnerability?
To mitigate this SQL injection vulnerability, the following immediate steps are recommended:
- Use prepared statements with parameter binding to separate SQL code from user input, preventing injection.
- Implement strict input validation and filtering to ensure inputs conform to expected formats.
- Limit database user permissions to the minimum necessary, avoiding use of high-privilege accounts like 'root' or 'admin' for routine operations.
- Conduct regular security audits of code and systems to detect and address vulnerabilities promptly.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in the Vehicle Showroom Management System allows attackers to perform unauthorized database access, data leakage, and data tampering. Such unauthorized access and potential exposure of sensitive data can lead to non-compliance with common standards and regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive information.
Because the vulnerability enables remote exploitation without authentication, it increases the risk of data breaches, which are subject to regulatory reporting requirements and penalties under these standards.
Therefore, failure to remediate this vulnerability could result in violations of data protection obligations, impacting compliance with GDPR, HIPAA, and similar regulations.