CVE-2022-22103 in Snapdragon Auto
Summary
by MITRE • 06/14/2022
Memory corruption in multimedia driver due to double free while processing data from user in Snapdragon Auto
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Analysis
by VulDB Data Team • 06/15/2022
This vulnerability represents a critical memory corruption issue within the multimedia driver component of Qualcomm's Snapdragon Auto platform, specifically affecting automotive-grade mobile processors. The flaw manifests as a double free condition during the processing of user-supplied data, creating a potential pathway for arbitrary code execution or system instability. The vulnerability exists in the driver's handling of multimedia data streams, where improper memory management routines fail to properly track allocated memory blocks, leading to scenarios where the same memory region gets freed twice. This type of memory corruption vulnerability falls under the CWE-415 category, which specifically addresses double free conditions in memory management operations.
The technical exploitation of this vulnerability requires an attacker to provide specially crafted multimedia data to the affected driver component, typically through automotive infotainment systems or vehicle communication interfaces. When the driver processes this malformed data, the double free condition occurs in memory management routines that handle buffer allocation and deallocation for multimedia processing tasks. The vulnerability's impact extends beyond simple system crashes, as the corrupted memory state can be leveraged to execute arbitrary code with the privileges of the multimedia driver process. This presents a significant risk to automotive systems where driver safety and vehicle control are paramount, as the compromised driver could potentially affect critical vehicle functions.
From an operational perspective, this vulnerability creates multiple attack vectors within automotive environments where Snapdragon Auto processors are deployed, including in-vehicle entertainment systems, telematics units, and advanced driver assistance systems. The attack surface is particularly concerning given that automotive systems often receive data from external sources such as mobile devices, cloud services, or wireless communication modules. The vulnerability's exploitation potential aligns with ATT&CK technique T1059.007, which covers the execution of malicious code through multimedia processing components, and T1499.004, which addresses the potential for system disruption through memory corruption attacks. Automotive security frameworks such as ISO 21448 (ASIL) and ISO/SAE 21434 recognize this type of vulnerability as a critical risk requiring immediate remediation.
Mitigation strategies for this vulnerability must address both immediate protection and long-term system hardening measures. The most effective immediate solution involves applying firmware updates from Qualcomm that correct the memory management routines within the multimedia driver, specifically addressing the double free condition through proper memory tracking mechanisms. System administrators should implement input validation controls that filter multimedia data before it reaches the driver component, reducing the attack surface for potential exploitation. Additionally, memory safety features such as stack canaries, address space layout randomization, and heap metadata protections should be enabled to make exploitation more difficult. The automotive industry should also consider implementing network segmentation and access controls that limit the sources of multimedia data entering vehicle systems, following security guidelines from NIST SP 800-82 and ISO 27001 frameworks to maintain comprehensive protection against such memory corruption vulnerabilities.