CVE-2022-25687 in Android
Summary
by MITRE • 10/19/2022
memory corruption in video due to buffer overflow while parsing asf clips in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
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Analysis
by VulDB Data Team • 05/07/2026
CVE-2022-25687 represents a critical memory corruption vulnerability affecting multiple Qualcomm Snapdragon product lines that process asf (Advanced Systems Format) video clips. This vulnerability stems from improper buffer handling during the parsing of asf media files, creating a condition where insufficient bounds checking allows maliciously crafted video content to overwrite adjacent memory regions. The flaw exists within the multimedia processing subsystem of Qualcomm's Snapdragon chips, which are widely deployed in automotive systems, mobile devices, compute platforms, and IoT applications. The buffer overflow condition can be triggered when the affected software attempts to parse malformed asf files, potentially leading to arbitrary code execution or system instability. This vulnerability is particularly concerning given the widespread adoption of Snapdragon processors across various device categories including automotive infotainment systems, mobile phones, wearable devices, and industrial IoT solutions.
The technical implementation of this vulnerability aligns with CWE-121, which describes stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflows. The attack vector typically involves delivering a specially crafted asf file to a device running vulnerable Snapdragon hardware, where the media parser fails to validate input lengths before copying data into fixed-size buffers. The operational impact extends across multiple ATT&CK techniques including T1059.007 for command and scripting interpreter and T1203 for exploitation for client execution, as attackers could potentially leverage this flaw to execute malicious code on target systems. The vulnerability affects Snapdragon Auto platforms used in vehicle infotainment and telematics systems, Snapdragon Compute devices including laptops and tablets, Snapdragon Connectivity solutions for wireless communication, and various IoT implementations across consumer and industrial markets. The attack surface is broad due to the universal presence of asf media parsing functionality in these platforms.
The exploitation of CVE-2022-25687 could result in complete system compromise, allowing attackers to execute arbitrary code with the privileges of the affected application or system service. In automotive environments, this could enable remote code execution on vehicle infotainment systems, potentially compromising vehicle safety systems. Mobile device exploitation might lead to full device control, data theft, or persistent backdoor installation. The memory corruption could also cause system crashes, denial of service conditions, or information disclosure. Mitigation strategies include applying firmware and software updates from Qualcomm, implementing network segmentation to prevent malicious media delivery, and deploying sandboxing mechanisms for media processing. Organizations should also consider network-based intrusion detection systems that can identify suspicious asf file patterns and implement strict media validation policies for all incoming content. The vulnerability demonstrates the critical importance of proper input validation in multimedia processing libraries and highlights the need for robust buffer management practices in embedded systems. Given the automotive and industrial applications affected, this vulnerability requires immediate attention from manufacturers and system administrators to prevent potential safety risks and security breaches.