CVE-2026-4784
Received Received - Intake
SQL Injection in Simple Laundry System Parameter Handler Allows Remote Exploit

Publication date: 2026-03-25

Last updated on: 2026-04-29

Assigner: VulDB

Description
A vulnerability was found in code-projects Simple Laundry System 1.0. This affects an unknown function of the file /checkcheckout.php of the component Parameter Handler. The manipulation of the argument serviceId results in sql injection. It is possible to launch the attack remotely. The exploit has been made public and could be used.
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Meta Information
Published
2026-03-25
Last Modified
2026-04-29
Generated
2026-05-07
AI Q&A
2026-03-25
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
code-projects simple_laundry_system 1.0
Helpful Resources
Exploitability
CWE
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KEV
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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.
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AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2026-4784 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System project, specifically in the /checkcheckout.php file. The vulnerability occurs because the serviceId parameter is not properly validated or sanitized before being used in SQL queries.

This flaw allows attackers to inject malicious SQL code remotely without any authentication, potentially leading to unauthorized database access, data leakage, modification, deletion, or even full system compromise.

Various SQL injection techniques such as boolean-based blind, error-based, and time-based blind injections can be used to exploit this vulnerability.


How can this vulnerability impact me? :

This vulnerability can have severe impacts including unauthorized access to sensitive data, data leakage, and unauthorized modification or deletion of data within the database.

Attackers could potentially disrupt services or fully compromise the affected system, leading to loss of business continuity and trust.

  • Unauthorized database access
  • Data leakage
  • Data modification or deletion
  • Potential full system compromise
  • Service disruption

How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

I don't know


How can this vulnerability be detected on my network or system? Can you suggest some commands?

The vulnerability can be detected by testing the `serviceId` parameter in the `/checkcheckout.php` file for SQL injection flaws. Various SQL injection techniques can be used, including boolean-based blind, error-based, and time-based blind injections.

  • Boolean-based blind injection example: `serviceId=(SELECT (CASE WHEN (1281=1281) THEN 4 ELSE (SELECT 7797 UNION SELECT 6323) END))`
  • Error-based injection example (MySQL >= 5.6): `serviceId=4 AND GTID_SUBSET(CONCAT(0x716a6b6b71,(SELECT (ELT(2003=2003,1))),0x717a717071),2003)`
  • Time-based blind injection example (MySQL >= 5.0.12): `serviceId=4 AND (SELECT 9040 FROM (SELECT(SLEEP(5)))Qrrj)`

Testing can also be performed using automated tools such as sqlmap to confirm the presence of the SQL injection vulnerability.


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include:

  • Use prepared statements with parameter binding to separate SQL code from user input, preventing SQL injection.
  • Implement strict input validation and filtering to ensure inputs conform to expected formats.
  • Minimize database user permissions by avoiding high-privilege accounts (such as root or admin) for routine database operations.
  • Conduct regular security audits to detect and remediate vulnerabilities promptly.

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