Source: security@qnapsecurity.com.tw
An SQL injection vulnerability has been reported to affect Hyper Data Protector. The remote attackers can then exploit the vulnerability to execute unauthorized code or commands. We have already fixed the vulnerability in the following versions: Hyper Data Protector 2.2.4.1 and later
Hyper Data Protector is vulnerable to a critical SQL injection flaw, allowing attackers to potentially execute arbitrary code and compromise the system. Successful exploitation could lead to data breaches, system control, and significant operational disruption. Immediate patching is crucial to mitigate this severe risk.
Step 1: Input Vector Identification: The attacker identifies input fields or parameters within the Hyper Data Protector application that are used to construct SQL queries. This could include login forms, search fields, or other data entry points.
Step 2: Payload Crafting: The attacker crafts a malicious SQL injection payload designed to achieve a specific goal, such as retrieving sensitive data, modifying database contents, or gaining remote code execution.
Step 3: Payload Delivery: The attacker submits the crafted payload through the identified input vector. This could involve manipulating HTTP requests or other communication channels.
Step 4: Query Execution: The Hyper Data Protector application receives the attacker's input and incorporates it into an SQL query without proper sanitization or validation.
Step 5: SQL Injection: The database server interprets the malicious payload as part of the SQL query, leading to the execution of the attacker's commands.
Step 6: Exploitation: Depending on the payload, the attacker can then extract data, modify data, or potentially execute arbitrary code on the server, leading to a full system compromise.
The vulnerability stems from improper sanitization and validation of user-supplied input within the Hyper Data Protector application. Specifically, the application likely constructs SQL queries using unsanitized data, allowing an attacker to inject malicious SQL code. The root cause is a failure to implement proper input validation and output encoding, leading to the execution of attacker-controlled SQL commands. This could be due to a missing or inadequate use of parameterized queries, or a failure to escape special characters within user-provided input before incorporating it into SQL statements. The lack of proper input validation allows for the injection of malicious SQL commands, potentially leading to unauthorized access, data modification, or complete system compromise.
While no specific APT groups are explicitly linked to this CVE, SQL injection is a widely known and commonly used attack vector. Any threat actor with the skills to craft SQL injection payloads could exploit this vulnerability. The risk is elevated due to the potential for widespread exploitation. CISA KEV status is highly probable if the vulnerability is actively exploited.
Monitor database server logs for unusual SQL queries, especially those containing suspicious keywords (e.g., 'UNION', 'SELECT', 'WHERE', 'DROP', 'UPDATE', 'INSERT').
Analyze network traffic for suspicious HTTP requests containing SQL injection payloads in parameters or headers. Use a Web Application Firewall (WAF) to detect and block malicious requests.
Implement intrusion detection systems (IDS) and intrusion prevention systems (IPS) with signatures specifically designed to detect SQL injection attempts.
Review application logs for error messages related to database queries, which might indicate SQL injection attempts.
Monitor for unusual database activity, such as unexpected data access or modification.
Upgrade to Hyper Data Protector version 2.2.4.1 or later.
Implement parameterized queries or prepared statements to prevent SQL injection vulnerabilities.
Thoroughly validate and sanitize all user-supplied input before incorporating it into SQL queries.
Employ a Web Application Firewall (WAF) to filter malicious traffic and protect against SQL injection attacks.
Regularly scan the application for vulnerabilities using static and dynamic analysis tools.
Implement the principle of least privilege for database accounts.
Enable logging and monitoring of database activity to detect and respond to suspicious behavior.
Conduct regular penetration testing to identify and address vulnerabilities.