Source: cna@vuldb.com
A vulnerability was identified in Daptin 0.10.3. Affected by this vulnerability is the function goqu.L of the file server/resource/resource_aggregate.go of the component Aggregate API. The manipulation of the argument column/group/order leads to sql injection. The attack may be initiated remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.
Daptin 0.10.3 suffers from a critical SQL injection vulnerability in its Aggregate API, allowing attackers to remotely execute arbitrary SQL commands. This flaw, stemming from improper sanitization of user-supplied input within the goqu.L function, can lead to complete database compromise and data exfiltration.
Step 1: Payload Delivery: The attacker crafts a malicious payload containing SQL injection code. This payload is designed to manipulate the column, group, or order parameters of the Aggregate API endpoint.
Step 2: Request Submission: The attacker sends the crafted payload as part of an HTTP request to the vulnerable Aggregate API endpoint. The request targets the goqu.L function.
Step 3: Query Construction: The application receives the request and, due to the vulnerability, directly incorporates the attacker-supplied payload into the SQL query without proper sanitization.
Step 4: Query Execution: The database server executes the maliciously crafted SQL query. The injected code alters the intended behavior of the query.
Step 5: Data Exfiltration/Manipulation: Depending on the injected SQL code, the attacker can then exfiltrate sensitive data, modify existing data, or potentially gain remote code execution on the database server.
The vulnerability lies within the goqu.L function in server/resource/resource_aggregate.go of Daptin 0.10.3. This function is responsible for handling column, group, and order parameters within the Aggregate API. The root cause is the lack of proper input validation and sanitization of user-controlled input used to construct SQL queries. Specifically, the application directly incorporates user-provided values for column, group, or order parameters into the SQL query without escaping special characters or validating the input against a whitelist. This allows an attacker to inject malicious SQL code, such as adding additional WHERE clauses, modifying existing queries, or executing arbitrary commands through the database.
While no specific APTs are directly linked in the provided information, the nature of SQL injection makes it a common attack vector used by various threat actors, including those seeking data theft, espionage, or ransomware deployment. The lack of vendor response suggests a high likelihood of continued exploitation. CISA KEV status is likely to be assigned if this vulnerability is actively exploited.
Monitor web server logs for suspicious HTTP requests to the Aggregate API endpoint, specifically those containing unusual characters or SQL keywords in the column, group, or order parameters.
Implement a Web Application Firewall (WAF) with rules specifically designed to detect and block SQL injection attempts. Look for patterns like single quotes, semicolons, and other SQL syntax.
Analyze database query logs for unexpected or malicious queries. Look for queries that contain user-supplied input directly within the SQL syntax.
Use Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) with signatures for SQL injection attacks.
Monitor network traffic for unusual database activity, such as large data transfers or connections from unexpected sources.
Implement parameterized queries or prepared statements to prevent SQL injection. This approach separates the SQL code from the user-supplied input, ensuring that the input is treated as data and not as executable code.
Sanitize all user-supplied input before incorporating it into SQL queries. This involves escaping special characters and validating the input against a whitelist of acceptable values.
Apply the latest security patches for Daptin. Although the vendor did not respond, it is crucial to stay updated on any potential future patches or mitigations.
Implement a Web Application Firewall (WAF) to filter malicious traffic and block SQL injection attempts.
Enforce the principle of least privilege for database users. Limit the permissions of database users to only those necessary for their tasks.
Regularly review and audit database configurations and access controls.