Source: disclosure@vulncheck.com
Web Ofisi Platinum E-Ticaret v5 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the 'q' GET parameter. Attackers can send requests to the arama endpoint with malicious 'q' values using time-based SQL injection techniques to extract sensitive database information.
Web Ofisi Platinum E-Ticaret v5 suffers from a critical SQL injection vulnerability, allowing unauthenticated attackers to compromise the database. Successful exploitation grants attackers the ability to extract sensitive data, potentially leading to complete system compromise and data breaches.
Step 1: Payload Delivery: An attacker crafts a malicious HTTP GET request to the /arama endpoint of the vulnerable application. The request includes a crafted SQL injection payload within the 'q' parameter.
Step 2: Request Processing: The application receives the request and processes the 'q' parameter. The value of 'q' is directly incorporated into an SQL query without proper sanitization or escaping.
Step 3: SQL Query Execution: The database server executes the manipulated SQL query, which now includes the attacker's injected SQL code.
Step 4: Data Extraction (Time-Based): The attacker uses time-based SQL injection techniques. The injected SQL code includes commands that cause the database to pause for a specific duration based on a condition (e.g., IF(1=1, SLEEP(5), 0)). The attacker observes the response time of the server to infer information about the database's contents.
Step 5: Data Extraction (Information Gathering): The attacker repeats steps 1-4 with different payloads to extract sensitive information, such as usernames, passwords, and other confidential data.
The vulnerability stems from insufficient input validation on the 'q' parameter within the arama endpoint. The application directly incorporates user-supplied input into SQL queries without proper sanitization or escaping. This allows attackers to inject malicious SQL code, manipulating the query's logic and enabling the extraction of sensitive information. The root cause is a lack of parameterized queries or prepared statements, which would have prevented the injection of arbitrary SQL code. The absence of input validation allows for time-based SQL injection, where attackers can infer information based on the response time of the database server.
While no specific APTs are directly attributed to this vulnerability, the ease of exploitation and potential impact make it attractive to various threat actors. This type of vulnerability is often used by financially motivated actors and those seeking to steal sensitive data. CISA KEV status: Not listed (as of this report's generation, but likely to be added if actively exploited).
Monitor web server logs for suspicious GET requests to the /arama endpoint with unusual 'q' parameter values, especially those containing SQL keywords (e.g., SELECT, INSERT, UPDATE, DELETE, UNION, IF, SLEEP).
Implement a Web Application Firewall (WAF) with rules specifically designed to detect and block SQL injection attempts.
Analyze database server logs for unusual query patterns or long-running queries originating from the web server.
Use intrusion detection systems (IDS) to identify SQL injection attempts based on signature-based or behavior-based analysis.
Monitor network traffic for suspicious patterns, such as a high volume of requests to the /arama endpoint or requests containing SQL injection payloads.
Implement parameterized queries or prepared statements to prevent SQL injection. This separates the SQL code from the user-supplied input.
Thoroughly validate and sanitize all user-supplied input, especially the 'q' parameter, before incorporating it into SQL queries. Use allowlists instead of denylists.
Apply the latest security patches provided by the vendor (if available).
Implement a Web Application Firewall (WAF) to filter malicious requests.
Regularly scan the application for vulnerabilities using static and dynamic analysis tools.
Enforce the principle of least privilege for database users. Limit the permissions of the database user used by the web application.
Review and harden the web server configuration to minimize attack surface.
Conduct regular penetration testing to identify and address vulnerabilities.