CVE-2026-4908
SQL Injection in Simple Laundry System /modstaffinfo.php Allows Remote Exploits
Publication date: 2026-03-27
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-2026-4908 is a critical SQL injection vulnerability found in version 1.0 of the Simple Laundry System, specifically in the /modstaffinfo.php file. The vulnerability occurs because the userid parameter is improperly handled and directly incorporated into SQL queries without adequate input validation or sanitization.
This flaw allows attackers to inject malicious SQL code remotely without requiring any authentication or authorization, enabling unauthorized manipulation of database queries.
- Boolean-based blind SQL injection by manipulating userid with conditional SQL statements.
- Error-based SQL injection exploiting MySQL 5.6+ using GTID_SUBSET functions.
- Time-based blind SQL injection using the SLEEP function to infer database behavior.
- UNION-based SQL injection to extract data by combining malicious queries with legitimate ones.
How can this vulnerability impact me? :
Exploitation of this vulnerability can lead to unauthorized database access, allowing attackers to extract sensitive information, alter or delete data, and potentially gain full control over the system.
This can disrupt service availability and pose significant risks to system security and business continuity.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
The vulnerability can be detected by testing the userid parameter in the /modstaffinfo.php file for SQL injection using various techniques such as Boolean-based blind SQL injection, error-based SQL injection, time-based blind SQL injection, and UNION-based SQL injection.
Proof-of-concept payloads to test the vulnerability include:
- userid=(SELECT (CASE WHEN (7027=7027) THEN 15 ELSE (SELECT 4369 UNION SELECT 2605) END))
- userid=15 AND GTID_SUBSET(CONCAT(0x717a717871,(SELECT (ELT(7593=7593,1))),0x71626a6a71),7593)
- userid=15 AND (SELECT 1400 FROM (SELECT(SLEEP(5)))cvFV)
- userid=-5273 UNION ALL SELECT CONCAT(0x717a717871,0x4a4a456c54615450685654467966555586e56444a777a5a4e6b73616274465661754575694f5a,0x71626a6a71),NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL-- -
Automated tools such as sqlmap can also be used to confirm the presence of this SQL injection vulnerability.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Implement prepared statements with parameter binding to separate SQL code from user input, preventing injection.
- Enforce strict input validation and filtering to ensure inputs conform to expected formats.
- Minimize database user privileges by avoiding the use of high-privilege accounts (e.g., root or admin) for routine operations.
- Conduct regular security audits of 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 attackers to gain unauthorized access to the database, extract sensitive information, alter or delete data, and disrupt service availability. Such unauthorized access and potential data breaches can lead to non-compliance with common standards and regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive data.
Failure to prevent SQL injection attacks can result in exposure of personal data, violating data protection requirements and potentially leading to legal and financial consequences under these regulations.
Therefore, this vulnerability poses significant risks to data confidentiality, integrity, and availability, all of which are critical compliance factors in standards such as GDPR and HIPAA.