CVE-2024-31750: F-logic Datacube3 SQLi Vulnerability

CVE-2024-31750 Overview

CVE-2024-31750 is a SQL injection vulnerability discovered in F-logic DataCube3 firmware version 1.0. This vulnerability allows a remote attacker to obtain sensitive information by exploiting improper input validation in the req_id parameter. SQL injection flaws of this nature enable attackers to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Critical Impact

Remote attackers can exploit the req_id parameter to execute arbitrary SQL commands, potentially extracting sensitive information from the backend database without authentication.

Affected Products

• F-logic DataCube3 Firmware v1.0
• F-logic DataCube3 Hardware Device

Discovery Timeline

• 2024-04-19 - CVE-2024-31750 published to NVD
• 2025-06-10 - Last updated in NVD database

Technical Details for CVE-2024-31750

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists due to improper neutralization of special elements used in SQL commands. The req_id parameter in the F-logic DataCube3 firmware does not properly sanitize user-supplied input before incorporating it into SQL queries. This allows an attacker to inject malicious SQL statements that are then executed by the database engine with the same privileges as the application.

The vulnerability is particularly dangerous because it can be exploited remotely over the network without requiring any prior authentication or user interaction. Successful exploitation could result in complete compromise of confidentiality, integrity, and availability of the affected system and its underlying database.

Root Cause

The root cause of CVE-2024-31750 is inadequate input validation and sanitization of the req_id parameter. The application fails to properly escape or parameterize user-controlled input before constructing SQL queries, allowing attackers to break out of the intended query structure and inject their own SQL commands.

This type of vulnerability typically arises from:

• Direct string concatenation of user input into SQL statements
• Absence of prepared statements or parameterized queries
• Missing input validation and character escaping mechanisms

Attack Vector

The attack vector for CVE-2024-31750 is network-based, requiring no privileges or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads in the req_id parameter. These requests are sent directly to the vulnerable DataCube3 device over the network.

When the malicious payload reaches the server, the injected SQL commands are executed against the backend database. Depending on the database configuration and privileges, attackers may be able to:

• Extract sensitive data from database tables
• Enumerate database schema and structure
• Modify or delete existing records
• Potentially escalate to operating system command execution

For detailed technical information about this vulnerability, refer to the GitHub Documentation for DataCube3.

Detection Methods for CVE-2024-31750

Indicators of Compromise

• Unusual or malformed values in the req_id parameter containing SQL syntax characters such as single quotes, double dashes, or UNION statements
• Database error messages appearing in HTTP responses that reveal backend database structure
• Unexpected database queries or access patterns in database logs
• Anomalous outbound data transfers from the DataCube3 device

Detection Strategies

• Implement web application firewall (WAF) rules to detect and block common SQL injection patterns in HTTP parameters
• Monitor HTTP request logs for suspicious patterns in the req_id parameter, including SQL keywords like SELECT, UNION, INSERT, DELETE, and comment sequences
• Deploy intrusion detection system (IDS) signatures that alert on SQL injection attack patterns
• Enable database query logging and audit suspicious or failed query attempts

Monitoring Recommendations

• Configure real-time alerting for database errors that may indicate SQL injection attempts
• Establish baseline network traffic patterns for DataCube3 devices and alert on deviations
• Implement application-level logging to capture all requests to endpoints using the req_id parameter
• Monitor for lateral movement attempts originating from compromised DataCube3 devices

How to Mitigate CVE-2024-31750

Immediate Actions Required

• Restrict network access to F-logic DataCube3 devices by placing them behind firewalls and limiting access to trusted IP addresses only
• Deploy a web application firewall (WAF) with SQL injection detection rules in front of affected devices
• Implement network segmentation to isolate DataCube3 devices from critical infrastructure
• Monitor all traffic to and from affected devices for signs of exploitation attempts

Patch Information

At the time of this writing, no vendor-provided patch information is available in the CVE data. Organizations using affected F-logic DataCube3 devices should contact F-logic directly for updated firmware or security patches. Until a patch is available, implement the recommended workarounds and network controls to reduce exposure.

Workarounds

• Implement strict input validation and filtering on any external-facing proxies or load balancers handling requests to DataCube3 devices
• Configure network access control lists (ACLs) to limit connectivity to the DataCube3 device to only authorized management systems
• If possible, disable or remove public network accessibility to the affected device until a patch is available
• Consider deploying an application proxy that sanitizes the req_id parameter before forwarding requests to the device

# Example: Restrict network access to DataCube3 device using iptables
# Allow access only from trusted management subnet
iptables -A INPUT -s 192.168.10.0/24 -d <datacube3_ip> -p tcp --dport 80 -j ACCEPT
iptables -A INPUT -s 192.168.10.0/24 -d <datacube3_ip> -p tcp --dport 443 -j ACCEPT
iptables -A INPUT -d <datacube3_ip> -p tcp --dport 80 -j DROP
iptables -A INPUT -d <datacube3_ip> -p tcp --dport 443 -j DROP