CVE-2024-25830 Overview
CVE-2024-25830 is a critical Incorrect Access Control vulnerability affecting F-logic DataCube3 firmware version 1.0. The vulnerability stems from improper directory access restrictions that allow an unauthenticated, remote attacker to access sensitive configuration files by crafting malicious URI requests. Successful exploitation enables attackers to extract root and admin credentials, potentially leading to complete system compromise.
Critical Impact
Unauthenticated remote attackers can extract root and admin passwords from the device's configuration file, enabling full administrative access to the affected DataCube3 device.
Affected Products
- F-logic DataCube3 Firmware v1.0
- F-logic DataCube3 Hardware Device
Discovery Timeline
- 2024-02-29 - CVE-2024-25830 published to NVD
- 2025-06-10 - Last updated in NVD database
Technical Details for CVE-2024-25830
Vulnerability Analysis
This vulnerability is classified as CWE-22 (Path Traversal), which allows attackers to access files and directories stored outside the intended restricted directory. In the case of F-logic DataCube3 v1.0, the web server fails to properly validate and sanitize URI paths, permitting unauthorized access to sensitive configuration files that contain administrative credentials.
The vulnerability requires no authentication to exploit and can be triggered remotely over the network. An attacker simply needs to craft a URI containing the path to the configuration file, bypassing the intended access controls. The impact is severe as it results in complete credential disclosure, including both root and admin passwords.
Root Cause
The root cause lies in the improper implementation of directory access restrictions within the DataCube3 firmware's web server component. The application fails to adequately validate user-supplied input in URI paths, allowing directory traversal sequences to escape the web root and access sensitive system files. This lack of input sanitization enables attackers to read arbitrary files on the system, including those containing authentication credentials.
Attack Vector
The attack is network-based and requires no user interaction or prior authentication. An attacker can exploit this vulnerability by sending specially crafted HTTP requests to the DataCube3 device's web interface. The malicious URI contains path traversal sequences that navigate to the configuration file location, allowing the attacker to retrieve the file contents which include root and admin passwords in an accessible format.
The exploitation is straightforward: the attacker sends a URI that includes the path to the configuration file, and the vulnerable server responds with the file contents without performing proper access validation. Once credentials are obtained, the attacker gains full administrative control over the device.
Detection Methods for CVE-2024-25830
Indicators of Compromise
- HTTP requests containing path traversal sequences (e.g., ../, ..%2f, %2e%2e/) targeting the DataCube3 web interface
- Unusual access patterns to configuration file paths from external IP addresses
- Multiple failed or successful authentication attempts using compromised credentials following reconnaissance activity
- Web server logs showing requests for sensitive file paths outside the normal web root directory
Detection Strategies
- Implement web application firewall (WAF) rules to detect and block path traversal patterns in HTTP requests
- Monitor HTTP access logs for requests containing directory traversal sequences or attempts to access system configuration files
- Deploy network intrusion detection signatures to identify exploitation attempts targeting DataCube3 devices
- Establish baseline network behavior for DataCube3 devices and alert on anomalous access patterns
Monitoring Recommendations
- Enable verbose logging on DataCube3 devices and forward logs to a centralized SIEM solution for analysis
- Create alerts for any HTTP requests containing path traversal indicators targeting embedded device interfaces
- Monitor for credential-based attacks following potential reconnaissance activity against DataCube3 devices
- Regularly audit access logs for the DataCube3 web interface to identify suspicious request patterns
How to Mitigate CVE-2024-25830
Immediate Actions Required
- Isolate affected F-logic DataCube3 devices from untrusted networks immediately
- Restrict network access to the DataCube3 web interface to authorized management IP addresses only
- Implement firewall rules to block external access to the device's web management port
- Change all administrative credentials on the device as they may have already been compromised
- Audit logs for evidence of exploitation and unauthorized access attempts
Patch Information
At the time of publication, no official patch information is available from F-logic. Administrators should monitor the Nero Team Vulnerability Report for updates and contact F-logic directly for firmware update availability. Given the critical nature of this vulnerability, implementing network-level mitigations is essential until a patch is released.
Workarounds
- Place DataCube3 devices behind a VPN and require VPN authentication before accessing the management interface
- Implement network segmentation to isolate DataCube3 devices from general network traffic
- Deploy a reverse proxy with proper access controls and path validation in front of the device
- Use firewall rules to restrict access to the web management interface to specific trusted IP addresses only
- Consider disabling the web management interface entirely if remote management is not required
# Example firewall rule to restrict access to DataCube3 management interface
# Replace 192.168.1.100 with your DataCube3 IP and 10.0.0.0/24 with trusted management network
iptables -A INPUT -d 192.168.1.100 -p tcp --dport 80 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -d 192.168.1.100 -p tcp --dport 80 -j DROP
iptables -A INPUT -d 192.168.1.100 -p tcp --dport 443 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -d 192.168.1.100 -p tcp --dport 443 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

