SQL injection vulnerability in admin/admin_catalog.php in e-topbiz Number Links 1 Php Script allows remote attackers to execute arbitrary SQL commands via the id parameter in an edit action.
A critical SQL injection vulnerability exists in the e-topbiz Number Links 1 Php Script, allowing attackers to remotely execute arbitrary SQL commands through the admin/admin_catalog.php script. Successful exploitation grants attackers unauthorized access to sensitive data, potentially leading to complete system compromise and data breaches.
Step 1: Identify the Target: The attacker identifies a vulnerable instance of e-topbiz Number Links 1 Php Script and the admin/admin_catalog.php script.
Step 2: Craft the Payload: The attacker crafts a malicious SQL injection payload designed to manipulate the database query. This payload is designed to be injected into the id parameter.
Step 3: Payload Delivery: The attacker sends a specially crafted HTTP request to admin/admin_catalog.php, including the malicious SQL payload within the id parameter, using an 'edit' action.
Step 4: Query Execution: The vulnerable script receives the request and incorporates the attacker-supplied id value directly into an SQL query without proper sanitization.
Step 5: SQL Injection: The database server executes the modified query, which now includes the attacker's malicious SQL code.
Step 6: Data Exfiltration/System Compromise: Depending on the payload, the attacker can then perform actions such as data exfiltration (e.g., retrieving usernames and passwords), modifying data, or potentially gaining remote code execution if the database server allows it.
The vulnerability stems from a failure to properly sanitize user-supplied input within the admin/admin_catalog.php script. Specifically, the id parameter, used in an 'edit' action, is directly incorporated into an SQL query without adequate validation or escaping. This allows an attacker to inject malicious SQL code, altering the intended query logic and enabling the execution of arbitrary commands against the database. The root cause is a lack of input validation and parameterized queries, leading to a classic SQL injection scenario.