CVE-2026-110459 in UniFi Protect AI Key
Summary
by MITRE • 10/14/2026
A malicious actor with access to the network could exploit an Improper Access Control vulnerability found in UniFi Protect AI Key to obtain information, make unauthorized changes, and execute a Denial of Service (DoS) attack on the device.
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Analysis
by VulDB Data Team • 10/14/2026
The identified security flaw represents a critical failure in access control mechanisms within the UniFi Protect AI Key hardware component. This vulnerability stems from insufficient validation of user privileges or authentication tokens when interacting with specific system interfaces, allowing an attacker who has gained network-level access to bypass intended restrictions. In modern IoT and smart home ecosystems, such devices often serve as gateways for video analytics and security monitoring, making the integrity of their internal logic paramount. The core technical issue lies in the application's failure to enforce proper authorization checks on API endpoints or local service calls that manage device configuration and operational states. This misconfiguration effectively grants any authenticated user with network connectivity elevated permissions that should be reserved for administrative accounts or restricted system processes.
From a technical perspective, this improper access control allows for three distinct categories of malicious activity: information disclosure, unauthorized modification, and denial of service. The ability to obtain sensitive information suggests that the attacker can query internal databases or configuration files containing encryption keys, network topology details, or user credentials stored on the device. This data exfiltration compromises the confidentiality aspect of the CIA triad and provides a foundation for further lateral movement within the protected network environment. Furthermore, the capacity to make unauthorized changes implies that an adversary can alter firmware settings, disable security logging, reconfigure network interfaces, or manipulate video recording parameters without proper authorization. Such modifications undermine the integrity of the surveillance system, potentially leading to blind spots in monitoring coverage or the introduction of persistent backdoors.
The operational impact extends beyond mere data theft or configuration tampering, as the vulnerability also facilitates a Denial of Service attack against the device itself. By exploiting the lack of input validation and resource management controls associated with this access control flaw, an attacker can send malformed requests or trigger specific state transitions that cause the AI Key to crash, reboot repeatedly, or become unresponsive. This disruption directly affects the availability of security services provided by UniFi Protect systems. For organizations relying on continuous video surveillance for safety compliance and incident response, such outages create significant operational risks. The attacker does not need physical access to the device; network proximity is sufficient, which broadens the attack surface significantly in environments where IoT devices are often placed on segmented but accessible VLANs or connected via guest networks that lack strict micro-segmentation policies.
This vulnerability aligns closely with CWE-269, Improper Privilege Control, and specifically reflects patterns found in CWE-862, Missing Authorization Check. In the context of the MITRE ATT&CK framework for IoT devices, this behavior corresponds to techniques involving unauthorized access to device management interfaces or exploitation of weak authentication mechanisms to gain initial foothold and escalate privileges. The ability to execute a DoS attack also touches upon resource exhaustion vectors often seen in CWE-400, Uncontrolled Resource Consumption, when the improper requests trigger excessive processing loads on limited IoT hardware resources.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. Administrators should ensure that all UniFi Protect firmware is updated to versions where this access control logic has been corrected by the vendor. Network segmentation plays a crucial role in limiting exposure; devices like the AI Key should reside on isolated VLANs with strict firewall rules permitting only necessary traffic from authorized management stations and video clients. Implementing mutual TLS authentication for internal service communications can prevent unauthorized entities, even those within the same subnet, from exploiting these API endpoints. Additionally, deploying intrusion detection systems capable of identifying anomalous request patterns targeting device configuration interfaces can provide early warning indicators of exploitation attempts. Regular security audits focusing on privilege escalation paths and input validation across all connected IoT components are essential to maintaining a robust defense-in-depth posture against such access control failures.