CVE-2026-4850
Received Received - Intake
SQL Injection in Simple Laundry System Parameter Handler Allows Remote Exploit

Publication date: 2026-03-26

Last updated on: 2026-04-29

Assigner: VulDB

Description
A security flaw has been discovered in code-projects Simple Laundry System 1.0. Affected is an unknown function of the file /checkregisitem.php of the component Parameter Handler. The manipulation of the argument Long-arm-shirtVol results in sql injection. The attack may be launched remotely. The exploit has been released to the public and may be used for attacks.
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Meta Information
Published
2026-03-26
Last Modified
2026-04-29
Generated
2026-06-16
AI Q&A
2026-03-26
EPSS Evaluated
2026-06-14
NVD
CVE-2026-4850
EUVD
EUVD-2026-16141
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-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.
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.
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Executive Summary

CVE-2026-4850 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System, specifically in the file /checkregisitem.php. The vulnerability occurs because the POST parameter Long-arm-shirtVol is used directly in SQL queries without proper input validation or sanitization.

This flaw allows attackers to inject malicious SQL code remotely without needing to authenticate, which can lead to unauthorized database access and manipulation.

A proof-of-concept attack uses a time-based blind SQL injection technique, leveraging the MySQL SLEEP() function to confirm the vulnerability by causing deliberate delays in database responses.

Impact Analysis

This vulnerability can have severe impacts including unauthorized access to sensitive data, data leakage, and data tampering.

Attackers may gain full control over the affected system, potentially disrupting services or causing denial of service.

Since the exploit can be launched remotely without authentication, it increases the risk of widespread attacks.

Detection Guidance

This vulnerability can be detected by testing the parameter Long-arm-shirtVol in the /checkregisitem.php file for SQL injection. A proof-of-concept payload uses a time-based blind SQL injection with the MySQL SLEEP() function to confirm the vulnerability by causing a delay in the database response.

An example payload to test this is: Long-arm-shirtVol=1' AND (SELECT 5461 FROM (SELECT(SLEEP(5)))WTAs) AND 'AkNE'='AkNE

Automated tools like sqlmap can also be used to detect and exploit this vulnerability.

Mitigation Strategies
  • Use prepared statements with parameter binding to separate SQL code from user input.
  • Implement strict input validation and filtering to ensure inputs conform to expected formats.
  • Minimize database user permissions by avoiding high-privilege accounts for routine operations.
  • Conduct regular security audits of code and systems to identify and fix vulnerabilities promptly.
Compliance Impact

The SQL injection vulnerability in Simple Laundry System 1.0 allows unauthorized database access, data leakage, and data tampering. Such security flaws can lead to breaches of sensitive personal data, which directly impacts compliance with data protection regulations like GDPR and HIPAA that require safeguarding personal and health information.

Failure to remediate this vulnerability may result in non-compliance with these standards due to inadequate protection of data confidentiality, integrity, and availability.

To maintain compliance, it is critical to implement recommended security measures such as prepared statements, input validation, least privilege database access, and regular security audits.

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