CVE-2026-5257
SQL Injection in Simple Laundry System /delstaffinfo.php Parameter Handler
Publication date: 2026-04-01
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-2026-5257 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System project, specifically in the /delstaffinfo.php file. The issue arises because the userid parameter is improperly handled and directly used in SQL queries without adequate input validation or sanitization.
This flaw allows attackers to inject malicious SQL code remotely, which can lead to unauthorized database access, data leakage, data modification or deletion, and potentially full system compromise or service disruption. Exploitation does not require user authentication.
Various SQL injection techniques can be used to exploit this vulnerability, including Boolean-based blind SQL injection, error-based SQL injection, time-based blind SQL injection, and UNION-based SQL injection.
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized access to your database, leakage of sensitive data, unauthorized modification or deletion of data, and potential full compromise of the affected system.
Attackers can exploit this remotely without needing any authentication, which increases the risk of exploitation.
Such exploitation can disrupt business operations, compromise data integrity, and lead to loss of service availability.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
The vulnerability can be detected by testing the /delstaffinfo.php endpoint for SQL injection via the userid parameter. Various SQL injection techniques can be used, including Boolean-based blind SQL injection, error-based SQL injection, time-based blind SQL injection using the SLEEP() function, and UNION-based SQL injection.
A practical approach is to use automated tools such as sqlmap to confirm the vulnerability and enumerate the database.
- Use sqlmap with a command like: sqlmap -u "http://target/delstaffinfo.php?userid=1" --batch --dbs
- Manually test with payloads such as: userid=1' OR '1'='1
- Test time-based injection with payloads like: userid=1' AND SLEEP(5)--
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include implementing prepared statements with parameter binding to prevent SQL injection by separating SQL code from user input.
Enforce strict input validation and filtering to ensure that the userid parameter conforms to expected formats.
Minimize database user privileges by avoiding the use of high-privilege accounts such as root or admin for the application's database connections.
Conduct regular security audits of the code and systems to detect and address 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 unauthorized database access, data leakage, and data modification or deletion. 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 could result in exposure of personal data, violating confidentiality and security requirements mandated by these standards, potentially leading to legal penalties and loss of trust.