CVE-2026-5648
SQL Injection in Simple Laundry System Parameter Handler Allows Remote Exploit
Publication date: 2026-04-06
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 | to 1.0 (inc) |
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
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized access to the database, leakage of sensitive data, modification or deletion of data, and potentially full system compromise or disruption of service.
- Attackers can exploit the vulnerability remotely without authentication.
- Data integrity and confidentiality can be compromised.
- The system may be disrupted or taken down by malicious SQL commands.
Can you explain this vulnerability to me?
CVE-2026-5648 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System, specifically in the file /userfinishregister.php. The vulnerability occurs because the firstName parameter is not properly validated or sanitized before being used in SQL queries. This allows attackers to inject malicious SQL code remotely without needing to authenticate.
The flaw is a time-based blind SQL injection targeting MySQL databases, where attackers can cause delays in query execution to infer information. The root cause is the lack of prepared statements or parameterized queries, which means user input is treated as executable SQL code.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the /userfinishregister.php endpoint for SQL injection via the firstName parameter. Since it is a time-based blind SQL injection targeting MySQL, you can use payloads that cause query delays, such as injecting SQL commands with the SLEEP function.
For example, you can use curl or similar tools to send POST requests with payloads that include time delays to observe if the response time increases, indicating vulnerability.
- curl -X POST -d "firstName=normal' OR IF(SLEEP(5),1,0)-- " http://target.com/userfinishregister.php
- Use automated SQL injection detection tools like sqlmap targeting the firstName parameter on /userfinishregister.php to confirm the vulnerability.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Implement strict validation and filtering of the firstName input to ensure it conforms to expected formats and does not contain SQL code.
- Modify the code to use prepared statements or parameterized queries to separate SQL code from user input, preventing injection.
- Minimize database user permissions by avoiding the use of high-privilege accounts for the application's database connection.
- Conduct a thorough security audit of the code and system to identify and remediate similar vulnerabilities.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in Simple Laundry System 1.0 allows unauthorized access, data leakage, modification, or deletion of database information. Such unauthorized data exposure and manipulation can lead to violations of data protection regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive data against unauthorized access and breaches.
Failure to remediate this vulnerability promptly may result in non-compliance with these standards due to compromised data integrity and confidentiality, potentially leading to legal and financial penalties.