CVE-2026-5824
SQL Injection in Simple Laundry System /userchecklogin.php Allows Remote Exploit
Publication date: 2026-04-09
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
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Meta Information
Affected Vendors & Products
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-2026-5824 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System PHP project, specifically in the '/userchecklogin.php' file.
The vulnerability occurs because the 'userid' parameter is improperly handled and directly incorporated into SQL queries without proper input validation or sanitization.
This flaw allows attackers to inject malicious SQL code via the 'userid' POST parameter, enabling them to manipulate database queries remotely without authentication.
An example exploitation method is a time-based blind SQL injection that causes the database to delay its response, confirming the injection point.
How can this vulnerability impact me? :
Exploitation of this vulnerability can allow attackers to gain unauthorized access to the database.
- Extract sensitive data stored in the database.
- Modify or delete database records, potentially corrupting data.
- Disrupt system operations by manipulating database queries.
All these actions can be performed remotely without requiring any authentication, increasing the risk and severity of the impact.
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 'userid' parameter in the '/userchecklogin.php' file for injection points. One method is to use time-based blind SQL injection payloads that cause a delay in the database response, confirming the vulnerability.
An example payload to test this is: userId=111' AND (SELECT 5324 FROM (SELECT(SLEEP(5)))Abgg) AND 'ktLS'='ktLS&password=1111&userSignInSubmit=SignIn
Automated tools like sqlmap can be used to detect and enumerate the vulnerability by injecting payloads into the 'userid' POST parameter.
- Use curl or similar tools to send POST requests with the above payload to observe response delays.
- Run sqlmap against the target URL with the vulnerable parameter to automate detection and exploitation.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include implementing prepared statements with parameter binding to separate SQL code from user input, which prevents SQL injection.
Enforce strict input validation and filtering to ensure that inputs conform to expected formats and do not contain malicious code.
Minimize database user privileges by avoiding the use of high-privilege accounts such as root or admin for application database connections.
Conduct regular security audits 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 allows attackers to gain unauthorized access to the database, extract sensitive data, modify or delete records, and disrupt system operations. Such unauthorized access and potential data breaches can lead to non-compliance with data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive information against unauthorized access and ensuring data integrity.
Failure to remediate this vulnerability promptly could result in exposure of personal data, violating confidentiality and security requirements mandated by these standards, potentially leading to legal and financial consequences.