CVE-2025-27061 in Snapdragon Auto
Summary
by MITRE • 07/08/2025
Memory corruption whhile handling the subsystem failure memory during the parsing of video packets received from the video firmware.
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Analysis
by VulDB Data Team • 09/07/2025
This vulnerability represents a critical memory corruption issue that occurs during the processing of video firmware packets within a subsystem failure handling mechanism. The flaw manifests when the system attempts to parse video packets received from firmware components, specifically during error recovery scenarios where memory allocation and deallocation operations become compromised. The memory corruption vulnerability stems from improper handling of memory resources when subsystem failures occur, creating opportunities for arbitrary code execution or system instability. This type of vulnerability typically arises from inadequate bounds checking, improper memory management, or race conditions during packet processing operations. The technical implementation involves the interaction between firmware components and the host system's video processing subsystem, where malformed or unexpected packet data can trigger memory corruption patterns that bypass normal safety mechanisms. The vulnerability is particularly concerning because it operates at a low level within the video processing pipeline, potentially affecting system stability and security during critical operations.
The operational impact of this vulnerability extends beyond simple system crashes or hangs, as the memory corruption can be exploited to gain unauthorized access to system resources or execute malicious code within the video processing context. Attackers could potentially craft specific video firmware packets designed to trigger the memory corruption during subsystem failure handling, leading to privilege escalation or complete system compromise. The vulnerability's exploitation requires understanding of both the firmware protocols and the host system's memory management patterns, making it a sophisticated target for advanced persistent threats. Organizations relying on video processing systems, particularly those in industrial control systems, automotive applications, or embedded devices, face significant risk from this vulnerability as it can be leveraged to disrupt critical operations or gain unauthorized access to sensitive systems. The attack surface is broad given that video firmware processing is fundamental to numerous computing platforms, including servers, workstations, and specialized hardware systems.
Mitigation strategies for this vulnerability must address both the immediate memory corruption issue and the broader security implications of firmware packet processing. System administrators should implement firmware updates from vendors that address the specific memory handling flaws in subsystem failure scenarios. Memory protection mechanisms such as address space layout randomization, data execution prevention, and stack canaries should be enabled to reduce exploitability of the memory corruption. Network segmentation and access controls can limit the potential impact of exploitation by restricting access to video firmware interfaces. Regular security assessments of video processing subsystems should be conducted to identify similar memory handling vulnerabilities within the broader firmware ecosystem. The implementation of input validation and bounds checking for all video packet data received from firmware components provides defense-in-depth against similar vulnerabilities. Additionally, monitoring systems should be deployed to detect anomalous packet processing patterns that might indicate exploitation attempts. Organizations should also consider implementing firmware integrity checking mechanisms to prevent unauthorized modifications that could exacerbate the vulnerability. Compliance with industry standards such as those defined in the CWE catalog for memory corruption vulnerabilities and ATT&CK techniques related to privilege escalation through memory corruption provides a framework for comprehensive remediation strategies.