Huawei HarmonyOS CVE-2026-41966

Exploitation requires the smart sensing service to be network-accessible and operational on the target HarmonyOS device. The high attack complexity (AC:H) indicates the attacker must satisfy specific preconditions not clearly detailed in the provided description: these may include triggering a race condition in the service's permission validation logic, exploiting a non-default service configuration, or leveraging a specific sequence of API calls. No explicit requirement for authentication (PR:N) or user interaction (UI:N) is stated. Exploitation is limited to partial information disclosure and integrity impacts (C:L/I:L) - full system takeover or denial of service is not achieved. Devices with the smart sensing service disabled or network-isolated are not affected.

CVSS 5.6 with AV:N/AC:H/PR:N indicates moderate real-world risk with meaningful exploitation barriers. The high attack complexity mitigates the severity despite the unauthenticated network vector - an attacker must overcome specific preconditions such as race conditions, non-default service configurations, or precise timing windows. EPSS data not provided, limiting exploitation probability assessment. The 'Information Disclosure' tag and partial confidentiality/integrity impact (C:L/I:L) suggest this is a privacy or data leakage issue rather than a critical system breach vector. No KEV listing or POC availability reduces immediate operational priority, but organizations deploying HarmonyOS devices in sensitive environments (smart home, healthcare, IoT) should prioritize assessment. The unspecified version range in CPE (harmonyos:*) indicates broad affected population; patch availability and specific vulnerable versions are unknown from provided data, creating assessment uncertainty.

A remote attacker crafts a malformed or specially-timed request to the HarmonyOS smart sensing service, exploiting inadequate permission checks to bypass access control logic. Under non-default or race-condition circumstances, the attacker gains unauthorized read access to sensor data (e.g., accelerometer, gyroscope, location-derived information) or temporarily disrupts the service's availability, potentially inferring user activity or device state without proper authorization.