CVE-2017-8258 in Android
Summary
by MITRE
An array out-of-bounds access in all Qualcomm products with Android releases from CAF using the Linux kernel can potentially occur in a camera driver.
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Analysis
by VulDB Data Team • 11/06/2019
The vulnerability identified as CVE-2017-8258 represents a critical array out-of-bounds access flaw within the camera driver component of Qualcomm Snapdragon chipsets integrated into Android devices. This issue affects all Qualcomm products utilizing the Linux kernel and specifically impacts Android releases from the Code-Aware Framework (CAF) versions. The flaw manifests in the camera driver subsystem where improper bounds checking allows for unauthorized memory access beyond allocated array boundaries. This vulnerability resides within the kernel-level camera driver implementation that handles image capture and processing operations, making it particularly dangerous as it operates at the lowest system level where security controls are minimal.
The technical implementation of this vulnerability stems from inadequate input validation within the camera driver's memory management routines. When processing camera frame data or handling image buffer operations, the driver fails to properly verify array indices against allocated memory boundaries before accessing memory locations. This condition creates a scenario where malicious input or crafted camera data can cause the driver to access memory outside of its intended bounds, potentially leading to memory corruption, system instability, or arbitrary code execution. The flaw is classified as a CWE-129 weakness, specifically an "Improper Validation of Array Index" vulnerability that allows for out-of-bounds memory access. The vulnerability is particularly concerning because it operates within the kernel space where privileges are elevated, making it a prime target for exploitation by attackers seeking to escalate privileges or compromise device integrity.
The operational impact of CVE-2017-8258 extends beyond simple system crashes or performance degradation. Given that the camera driver is frequently accessed during normal device operation, this vulnerability can be exploited through various attack vectors including malicious camera applications, compromised image files, or even network-based attacks that manipulate camera data streams. The exploitation of this vulnerability can result in complete system compromise, allowing attackers to execute arbitrary code with kernel-level privileges, potentially leading to full device takeover, data exfiltration, or persistent backdoor installation. This vulnerability directly aligns with ATT&CK technique T1059.007 for Command and Scripting Interpreter and T1068 for Exploitation for Privilege Escalation, as it provides a mechanism for attackers to gain elevated privileges and execute malicious code within the kernel context. Devices affected by this vulnerability include numerous smartphones, tablets, and IoT devices that utilize Qualcomm Snapdragon processors, making the potential attack surface extremely broad across the mobile and embedded device ecosystem.
Mitigation strategies for CVE-2017-8258 require immediate patching of affected Qualcomm products through firmware updates provided by device manufacturers. Organizations should implement comprehensive vulnerability management procedures to ensure timely deployment of security patches across their device fleets. The remediation process involves updating the kernel-based camera driver to include proper bounds checking mechanisms and input validation routines. Security teams should also consider implementing runtime monitoring solutions to detect anomalous camera driver behavior and potential exploitation attempts. Device manufacturers must conduct thorough testing of updated drivers to prevent regressions while ensuring the patch effectively addresses the array out-of-bounds condition. Additionally, users should avoid installing untrusted camera applications and maintain up-to-date device firmware to minimize exposure to this vulnerability. The mitigation approach aligns with industry best practices for kernel-level vulnerability remediation and follows NIST guidelines for addressing critical security flaws in embedded systems.