CVE-2022-24008 in LinkHub Mesh Wi-Fi MS1G
Summary
by MITRE • 08/06/2022
A buffer overflow vulnerability exists in the GetValue functionality of TCL LinkHub Mesh Wi-Fi MS1G_00_01.00_14. A specially-crafted configuration value can lead to a buffer overflow. An attacker can modify a configuration value to trigger this vulnerability.This vulnerability represents all occurances of the buffer overflow vulnerability within the confcli binary.
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Analysis
by VulDB Data Team • 08/31/2022
The CVE-2022-24008 vulnerability represents a critical buffer overflow flaw within the TCL LinkHub Mesh Wi-Fi MS1G_00_01 device firmware, specifically affecting the GetValue functionality of the confcli binary component. This vulnerability resides in the configuration management subsystem of the wireless access point, where improper input validation allows malicious actors to exploit memory handling weaknesses. The flaw manifests when the device processes specially crafted configuration values through its GetValue function, creating an opportunity for arbitrary code execution or system instability. The vulnerability is particularly concerning as it affects the core configuration binary that manages device settings and network parameters, making it a prime target for attackers seeking persistent access to the network infrastructure.
This buffer overflow vulnerability directly maps to CWE-121, which describes stack-based buffer overflow conditions where insufficient bounds checking allows attackers to overwrite adjacent memory locations. The technical implementation involves the confcli binary's failure to properly validate the length of input data when processing configuration parameters, enabling attackers to exceed allocated buffer boundaries. The attack vector requires an authenticated user with access to the device's configuration interface, as the vulnerability is triggered through legitimate configuration modification processes. The exploitation process involves crafting malicious input data that exceeds the expected buffer size, leading to memory corruption that can potentially result in privilege escalation or denial of service conditions.
The operational impact of CVE-2022-24008 extends beyond simple system instability, as it provides attackers with potential pathways for network reconnaissance and lateral movement within segmented environments. Devices running affected firmware versions become vulnerable to persistent compromise, with attackers able to maintain access even after system restarts if the vulnerability allows for persistent memory modifications. The vulnerability affects network availability through potential denial of service conditions and could enable more sophisticated attacks such as man-in-the-middle operations or credential theft from the device's configuration storage. Network administrators face challenges in identifying compromised devices due to the subtle nature of buffer overflow exploitation, which may not immediately manifest as system crashes or obvious network disruptions.
Mitigation strategies for CVE-2022-24008 should prioritize immediate firmware updates from TCL to address the buffer overflow in the confcli binary component. Network segmentation and access control measures can limit the attack surface by restricting unauthorized access to device configuration interfaces, aligning with defense-in-depth principles from the MITRE ATT&CK framework's privilege escalation and defense evasion techniques. Regular network monitoring should include detection of anomalous configuration changes and unexpected device behavior that might indicate exploitation attempts. Device hardening practices including disabling unnecessary services, implementing strong authentication mechanisms, and maintaining detailed audit logs of configuration modifications provide additional protective layers against exploitation attempts. Organizations should also consider implementing network access controls and intrusion detection systems specifically tuned to identify patterns associated with buffer overflow exploitation attempts targeting embedded network devices.