CVE-2026-5019
SQL Injection in Simple Food Order System's all-orders.php Component
Publication date: 2026-03-29
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 |
|---|---|---|
| carmelo | simple_food_order_system | 1.0 |
Helpful Resources
Exploitability
| 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. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-5019 is a critical SQL injection vulnerability found in version 1.0 of the Simple Food Order System, specifically in the file all-orders.php. The vulnerability occurs because the status parameter is directly embedded into SQL queries without proper input validation or sanitization.
This flaw allows attackers to inject malicious SQL code remotely without requiring any authentication or authorization.
Attackers can exploit this vulnerability using various SQL injection techniques such as boolean-based blind SQL injection, error-based SQL injection, time-based blind SQL injection, and UNION-based SQL injection to access, modify, or delete database information.
How can this vulnerability impact me? :
This vulnerability can have severe impacts including unauthorized access to the database, leakage of sensitive data, modification or deletion of data, full system compromise, and potential disruption of services.
Since no authentication is required to exploit this flaw, attackers can remotely execute malicious SQL commands, leading to significant security breaches and loss of data integrity.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
The vulnerability can be detected by testing the `status` GET parameter in the file all-orders.php for SQL injection flaws.
Common detection techniques include using SQL injection payloads such as Boolean-based blind SQL injection (e.g., status=Yet to be delivered' AND 9715=9715 AND 'iieJ'='iieJ'), error-based SQL injection targeting MySQL versions ≥ 5.0, time-based blind SQL injection using the SLEEP() function, and UNION-based SQL injection with hexadecimal-encoded strings.
A practical approach is to use automated tools like sqlmap to test the parameter for exploitable SQL injection vulnerabilities.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include:
- Use prepared statements with parameter binding to separate SQL code from user input, preventing injection.
- Implement strict input validation and filtering to ensure inputs conform to expected formats.
- Minimize database user privileges by avoiding high-privilege accounts (such as root or admin) for routine operations.
- 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 the Simple Food Order System allows unauthorized access, data leakage, and data modification or deletion. Such unauthorized data exposure and manipulation 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 breaches of confidentiality, integrity, and availability of data, potentially causing violations of regulatory requirements and leading to legal and financial consequences.