CVE-2026-5017
SQL Injection in Simple Food Order System’s Parameter Handler
Publication date: 2026-03-28
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?
This vulnerability is a security flaw in the Simple Food Order System version 1.0, specifically in the /all-tickets.php file within the Parameter Handler component.
The flaw allows an attacker to manipulate the 'Status' argument, which leads to a SQL injection vulnerability.
This means that an attacker can remotely inject malicious SQL code through the 'Status' parameter, potentially compromising the database.
The exploit for this vulnerability has been publicly released, increasing the risk of attacks.
How can this vulnerability impact me? :
This vulnerability can allow remote attackers to perform SQL injection attacks on the affected system.
Such attacks can lead to unauthorized access to the database, data leakage, data modification, or deletion.
The impact includes potential loss of data integrity, confidentiality, and availability of the system.