Aiassistant EUVD-2026-24063

Exploitation requires the attacker to have local authenticated access to a Honor device running the vulnerable AiAssistant application with at least low-level user privileges (PR:L per CVSS vector). The attack must be executed locally on the device (AV:L) and cannot be triggered remotely over a network. No user interaction is required once the attacker has local code execution capability (UI:N), and attack complexity is low (AC:L), suggesting the bypass does not require winning race conditions or advanced timing. The specific prerequisite is access to invoke AiAssistant API functions or interfaces from a local process context - this could be through a malicious installed application, ADB debugging access on developer-mode devices, or exploitation of another vulnerability that provides local code execution. The vulnerability does NOT affect remotely accessible services, and the attacker cannot exploit this from outside the device. Default AiAssistant configurations are vulnerable; no special feature enablement is required.

Real-world risk is moderate-high for Honor device users with local access by multiple users or malicious apps. The CVSS score of 7.8 reflects high impact across all CIA triad elements with a local attack vector requiring low privileges and no user interaction (AV:L/AC:L/PR:L/UI:N). However, exploitation requires the attacker to already have local authenticated access to the device, significantly limiting attack surface compared to remote vulnerabilities. The lack of scope change (S:U) means the attacker cannot break out of the AiAssistant application's security context to compromise other system components, though high impact ratings suggest full control within that context. No EPSS score, KEV listing, or public POC is available at time of analysis, indicating no confirmed active exploitation or widespread targeting. The primary risk scenario involves malicious applications installed on Honor devices leveraging this bypass to escalate privileges within the AiAssistant context, potentially accessing sensitive data processed by the AI assistant or disrupting its availability. Organizations allowing Honor devices in enterprise environments should prioritize remediation, while consumer risk depends on device sharing practices and app installation hygiene.

An attacker with standard user privileges on a Honor device installs a malicious application or executes code through another compromised app. The malicious code invokes AiAssistant functions while exploiting the type privilege bypass flaw to present itself as a high-privilege process. AiAssistant incorrectly validates the caller's privilege level due to the type handling vulnerability, granting the attacker elevated permissions within the assistant's context. The attacker then accesses sensitive data processed by AiAssistant (such as voice recordings, personal information, or application data) and can disrupt service availability or manipulate assistant behavior.