CVE-2026-5238
SQL Injection in itsourcecode Payroll /view_employee.php Allows Remote Exploit
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 |
|---|---|---|
| itsourcecode | payroll_management_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-2026-5238 is a critical SQL injection vulnerability found in version 1.0 of the itsourcecode Payroll Management System, specifically in the /view_employee.php file. The issue arises because the application does not properly sanitize or validate the 'id' parameter received via HTTP GET requests.
Attackers can exploit this flaw remotely without any authentication by injecting malicious SQL code through the 'id' parameter. This allows unauthorized access to the database, potentially leading to sensitive data leakage, data tampering, full system control, and service disruption.
- Vulnerable parameter: id (GET request)
- Vulnerability type: SQL Injection (Boolean-based blind and time-based blind)
- No authentication required to exploit
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized access to sensitive payroll and employee data, data leakage, and data manipulation.
An attacker could gain full control over the affected system, potentially disrupting services and compromising business continuity.
Because exploitation requires no authentication, the risk of attack is high, making immediate remediation critical to protect data integrity and operational stability.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by testing the 'id' parameter in the /view_employee.php file for SQL injection flaws. Specifically, you can use Boolean-based blind or time-based blind SQL injection payloads to check if the parameter is vulnerable.
- Boolean-based blind payload example: id=(SELECT (CASE WHEN (9519=9519) THEN 1 ELSE (SELECT 9028 UNION SELECT 9123) END))
- Time-based blind payload example (for MySQL >= 5.0.12): id=1 AND (SELECT 5467 FROM (SELECT(SLEEP(5)))Ykfg)
You can also use automated tools like sqlmap to detect this vulnerability with commands such as: sqlmap -u "http://target/view_employee.php?id=1" --random-agent --batch --tamper=space2comment
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include implementing prepared statements and parameter binding to separate SQL code from user input, which prevents SQL injection.
Strict input validation and filtering should be applied to ensure inputs conform to expected formats, such as numeric validation for the 'id' parameter.
Minimize database user permissions by avoiding the use of high-privilege accounts like 'root' or 'admin' for routine database operations.
Conduct regular security audits to identify and remediate vulnerabilities promptly.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The SQL injection vulnerability in the Payroll Management System allows unauthorized access to sensitive data, data tampering, and potential full system control without authentication.
Such unauthorized access and manipulation of sensitive personal or employee data can lead to violations of data protection regulations like GDPR and HIPAA, which require strict controls over data confidentiality, integrity, and access.
Failure to prevent such vulnerabilities may result in non-compliance with these standards, potentially causing legal penalties, reputational damage, and loss of trust.