CVE-2026-47150 in EmberZNet
Summary
by MITRE • 06/25/2026
In EmberZNet v9.0.2 and earlier, malformed IAS Zone enrollment messages can trigger an out-of-bounds state-table write and terminate the process. The size and location of this write is limited. These messages must come from a device that has already joined the network. Only devices supporting the IAS Zone cluster may be impacted.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 06/25/2026
The vulnerability present in EmberZNet v9.0.2 and earlier versions represents a critical buffer overflow condition that arises from improper validation of incoming IAS Zone enrollment messages. This flaw falls under the Common Weakness Enumeration category CWE-121, which encompasses stack-based buffer overflows, and more specifically aligns with CWE-787, out-of-bounds write vulnerabilities. The issue manifests when malformed IAS Zone enrollment messages are received from devices that have already established network connectivity, indicating a failure in input sanitization and message parsing mechanisms within the Zigbee stack implementation.
The technical execution of this vulnerability requires an attacker to possess credentials or physical access to a device that has already joined the network, as the malicious messages must originate from authenticated endpoints. This constraint significantly reduces the attack surface but does not eliminate the risk entirely, particularly in environments where device compromise is possible. The out-of-bounds write occurs within the state table management system, which serves as the central repository for tracking device states and network topology information. The limited size and location of the write operation suggest that while the vulnerability is exploitable, it may not allow for arbitrary code execution but rather process termination and potential denial of service conditions.
The operational impact of this vulnerability extends beyond simple service disruption, as it can lead to complete process termination and subsequent network instability in Zigbee-based IoT deployments. This type of attack directly aligns with the ATT&CK framework's T1499.004 technique for Network Denial of Service, where adversaries target network infrastructure components to disrupt communication. The affected devices that support the IAS Zone cluster are particularly vulnerable since they maintain state tables that track zone information, making them prime targets for this specific class of exploit. Organizations utilizing EmberZNet in security systems, smart home environments, or industrial IoT applications face significant risk from this vulnerability.
Mitigation strategies should focus on immediate firmware updates to versions beyond v9.0.2 where the vulnerability has been addressed through proper input validation and bounds checking mechanisms. Network segmentation approaches can help limit the impact by isolating devices that support IAS Zone functionality from critical network components. Additionally, implementing robust monitoring systems that detect unusual message patterns or process terminations can provide early warning indicators of potential exploitation attempts. The remediation process should also include comprehensive testing of updated firmware in controlled environments to ensure that the fix does not introduce regressions in legitimate device functionality while maintaining the security improvements necessary to prevent similar vulnerabilities from emerging in future implementations.