CVE-2026-108502 in Z80 Ultra
Summary
by MITRE • 10/10/2026
ZTE Z80 Ultra contains an information disclosure vulnerability, through which third-party applications can read relevant information by hooking system APIs.
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Analysis
by VulDB Data Team • 10/10/2026
The identified security flaw in the ZTE Z80 Ultra represents a critical failure in application sandbox isolation and inter-process communication controls, specifically categorized under CWE-200 as Information Exposure. This vulnerability stems from an improper implementation of Android's permission model or API hooking mechanisms within the device's operating system layer. By exploiting weaknesses in how certain system APIs are exposed to third-party applications, attackers can bypass standard security boundaries that are designed to restrict access to sensitive user data and system states. The core technical issue involves insufficient validation checks when an application attempts to invoke privileged functions, allowing unauthorized entities to intercept or read internal system variables without the requisite elevated privileges typically required for such operations.
From a technical perspective, this vulnerability leverages API hooking techniques where malicious software inserts itself into the execution flow of legitimate system processes. Once hooked, these applications can capture return values from sensitive function calls that normally contain personal identifiable information, location data, or device identifiers. This method effectively circumvents traditional permission-based access controls because the exploitation occurs at a lower level than standard application permissions allow, often targeting framework-level services rather than individual app components. The attacker does not need to exploit a buffer overflow or code injection flaw in this scenario; instead, they rely on logical flaws in how the operating system grants context and data visibility to requesting processes.
The operational impact of this information disclosure is significant for end-users relying on the device for personal and professional communications. Unauthorized access to sensitive information can lead to identity theft, targeted phishing attacks, or surveillance by malicious actors who gain insight into user behavior patterns and private conversations. For enterprise environments deploying these devices under Mobile Device Management policies, such a vulnerability undermines data loss prevention strategies and compliance with regulations like GDPR or HIPAA, which mandate strict controls over personal health information and personally identifiable information. The ability of third-party apps to read relevant system information erodes the trust model upon which mobile operating systems are built, potentially leading to broader ecosystem instability if widely exploited by malware families seeking reconnaissance data before launching further attacks.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. ZTE should release a security update that hardens the API exposure layers, ensuring strict enforcement of permission checks for all system-level function calls regardless of the calling application's declared permissions. Developers integrating with these APIs must implement additional verification steps to detect anomalous call patterns indicative of hooking attempts. Users are advised to install official software updates immediately upon availability and restrict app installations to trusted sources via Google Play Protect or equivalent security suites that can detect known malicious behaviors associated with API hooking frameworks. Furthermore, enabling advanced security features such as verified boot and runtime permission monitoring tools can help mitigate the risk by detecting unauthorized modifications to system processes before they execute sensitive operations.
This vulnerability aligns with MITRE ATT&CK technique T1057, which covers Process Discovery, and potentially T1213 for Data from Information Repositories if it involves accessing stored databases or configuration files. Addressing this issue requires a multi-layered defense approach that includes static analysis of system binaries to identify overly permissive API exports, dynamic testing during the development lifecycle to simulate hooking attacks, and continuous monitoring in production environments using endpoint detection and response solutions capable of identifying suspicious inter-process communication patterns characteristic of information exfiltration attempts.