CVE-2023-37628: Online Piggery Management System 1. Vulnerable to SQL Injection - Exploit Details, Code Snippets, and Remediation

A new vulnerability, CVE-2023-37628, has been identified in the Online Piggery Management System 1., a popular web-based platform for managing piggery farm operations. The vulnerability lies in the system's improper handling of user input, allowing attackers to perform SQL Injection on the application. Successful exploitation of this vulnerability could lead to unauthorized data access, data manipulation, and even compromise the entire system. In this post, we will discuss the exploit details, present the code snippet, and provide links to original references, while using simple American language.

Exploit Details

SQL Injection is a common and dangerous web application vulnerability that involves injecting malicious SQL code through user input fields to gain unauthorized access or manipulate the underlying database. In the case of Online Piggery Management System 1., the vulnerability exists due to insufficient input validation and improper sanitization of user input in the "viewSwines" page.

Here is a code snippet to demonstrate the vulnerability in the "viewSwines" PHP page

<?php
include("db_connect.php");
// ... other PHP code ...

// User input is taken directly via the $_GET method without proper validation and sanitization
$swine_id = $_GET['swine_id'];

// SQL query is formed with the unsanitized user input, leading to SQL Injection vulnerability
$query = "SELECT * FROM swines WHERE swine_id='$swine_id'";
$result = mysqli_query($conn, $query);

// ... rest of the PHP code ...
?>

As shown in the code snippet, user input is taken directly from the GET parameter without any validation or sanitization, making it vulnerable to SQL Injection. An attacker could craft a malicious URL containing an SQL payload, as shown below:

http://example.com/viewSwines.php?swine_id=1'; OR '1'='1

By accessing this URL, the attacker could manipulate the SQL query to retrieve all records from the "swines" table in the database, effectively bypassing any security measures in place and gaining unauthorized access to sensitive information.

Original References

1. CVE Reference: Official CVE reference for the vulnerability.
2. Exploit Database: Detailed description and exploit for the vulnerability.
3. OWASP - SQL Injection: Comprehensive explanation on SQL Injection and prevention techniques.

Remediation

To fix the CVE-2023-37628 vulnerability in the Online Piggery Management System 1., developers should implement proper input validation and sanitization measures to prevent SQL Injection attacks. One such measure is to use prepared statements with parameterized queries to separate user input from the query syntax. The PHP code snippet below demonstrates a secure way to handle user input using prepared statements:

<?php
include("db_connect.php");
// ... other PHP code ...

// User input is taken from the GET parameter
$swine_id = $_GET['swine_id'];

// Prepared statement is used to separate user input from the query syntax
$query = "SELECT * FROM swines WHERE swine_id=?";
$stmt = mysqli_prepare($conn, $query);
mysqli_stmt_bind_param($stmt, "i", $swine_id); // Bind the integer parameter securely
mysqli_stmt_execute($stmt);
$result = mysqli_stmt_get_result($stmt);

// ... rest of the PHP code ...
?>

By using prepared statements, the user input and query syntax are kept separate, thus preventing any SQL Injection attacks. Furthermore, piggery system administrators should keep their software up-to-date and apply the latest security patches to mitigate such vulnerabilities.

Conclusion

The Online Piggery Management System 1.'s CVE-2023-37628 vulnerability highlights the importance of secure coding practices and timely patch management for web-based applications. Developers and administrators must prioritize the implementation of proactive security measures such as input validation and sanitization to safeguard their systems and customer data from cyber threats.

Timeline

Published on: 07/12/2023 17:15:00 UTC
Last modified on: 07/20/2023 02:07:00 UTC