CVE-2026-5540
SQL Injection in Simple Laundry System Parameter Handler Module
Publication date: 2026-04-05
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 | simple_laundry_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?
CVE-2026-5540 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System, specifically in the /modifymember.php file. The issue arises because the 'firstName' parameter is not properly validated or sanitized when received via POST requests. This allows attackers to inject malicious SQL code, manipulating database queries directly.
The vulnerability can be exploited remotely without any authentication or authorization, using various SQL injection techniques such as boolean-based blind, error-based, and time-based blind methods targeting MySQL versions 5.0.12 and above.
How can this vulnerability impact me? :
Exploitation of this vulnerability can lead to unauthorized access to the database, allowing attackers to leak sensitive information, modify or delete data, and potentially take full control of the affected system.
This can result in service disruption, compromise of system security, and significant impact on business continuity.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the /modifymember.php endpoint for SQL injection via the firstName parameter, which is accepted through POST requests.
Common detection methods include using SQL injection testing tools or manual testing with payloads that trigger boolean-based blind, error-based, or time-based blind SQL injection techniques.
Example commands using curl to test for SQL injection might include sending POST requests with SQL payloads in the firstName parameter and observing the response for anomalies or errors.
- curl -X POST -d "firstName=' OR '1'='1" http://target/modifymember.php
- curl -X POST -d "firstName=' AND (SELECT 1 FROM (SELECT COUNT(*),CONCAT((SELECT database()),0x3a,FLOOR(RAND(0)*2))x FROM information_schema.tables GROUP BY x)a) -- " http://target/modifymember.php
- Using automated tools like sqlmap targeting the firstName parameter on /modifymember.php can also help detect the vulnerability.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include implementing strict input validation and filtering on the firstName parameter to ensure only expected input formats are accepted.
Use prepared statements or parameterized queries to ensure user inputs are treated as data rather than executable SQL code.
Minimize database user permissions by avoiding the use of high-privilege accounts such as root or admin for routine database operations.
Conduct regular security audits of the code and system to detect and remediate vulnerabilities promptly.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in Simple Laundry System 1.0 can lead to unauthorized database access, leakage of sensitive data, data modification or deletion, and full system compromise. Such impacts can result in violations of data protection regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive information. Failure to secure the system against this vulnerability may lead to non-compliance with these standards due to potential data breaches and inadequate security controls.
Mitigations such as strict input validation, use of prepared statements, minimizing database user permissions, and regular security audits are essential to maintain compliance with these regulations.