CVE-2022-25680 in Snapdragon Auto
Summary
by MITRE • 09/02/2022
Memory corruption in multimedia due to buffer overflow while processing count variable from client in Snapdragon Auto
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Analysis
by VulDB Data Team • 10/11/2022
This vulnerability resides in the Snapdragon Auto automotive platform where a memory corruption issue occurs during multimedia processing operations. The flaw manifests as a buffer overflow condition that specifically involves an improperly handled count variable received from client applications. The vulnerability represents a critical security weakness that can be exploited through malicious input manipulation, potentially leading to system instability or unauthorized access. The buffer overflow occurs within the multimedia processing pipeline where client-sent data is parsed and processed without adequate bounds checking on the count parameter. This type of vulnerability falls under the CWE-121 category of stack-based buffer overflow, though it specifically impacts automotive embedded systems where reliability and security are paramount. The Snapdragon Auto platform's multimedia handling components are particularly susceptible because they process various media formats and client requests that may contain malformed count values. The exploitation of this vulnerability could enable attackers to execute arbitrary code within the multimedia processing context, potentially compromising the entire automotive infotainment system.
The technical implementation of this vulnerability demonstrates poor input validation practices where the count variable from client applications is directly used to determine buffer allocation sizes without proper sanitization or range checking. This creates a scenario where an attacker can craft malicious input that causes the system to allocate insufficient memory for the intended buffer, leading to memory corruption when the system attempts to write beyond allocated boundaries. The automotive environment adds additional complexity since these systems often operate in real-time constraints where memory management must be predictable and secure. The vulnerability's impact extends beyond simple memory corruption as it can potentially allow privilege escalation within the multimedia processing subsystem, particularly when the system employs shared memory mechanisms or inter-process communication patterns that are not adequately protected. This type of flaw is particularly dangerous in automotive contexts where system reliability directly impacts vehicle safety and user security.
The operational implications of CVE-2022-25680 are severe within automotive environments where multimedia processing systems control critical vehicle functions and user interfaces. An attacker who successfully exploits this vulnerability could potentially gain unauthorized access to the vehicle's infotainment system, which may serve as a gateway to other vehicle control systems. The attack surface is particularly concerning because multimedia processing components often have network connectivity and can receive data from external sources such as USB devices, Bluetooth connections, or wireless networks. The vulnerability aligns with ATT&CK technique T1059.007 for command and control through multimedia processing interfaces, and T1068 for local privilege escalation within automotive embedded systems. Automotive manufacturers face significant challenges in addressing this vulnerability since it requires careful consideration of update deployment strategies that don't compromise vehicle safety or operational continuity. The exploitation of this flaw could potentially lead to denial of service conditions that affect vehicle operation or create opportunities for more sophisticated attacks targeting other vehicle control systems.
Mitigation strategies for this vulnerability must address both immediate remediation and long-term architectural improvements within the Snapdragon Auto platform. The primary fix involves implementing robust input validation on count variables received from client applications, ensuring proper bounds checking before buffer allocation occurs. This remediation approach aligns with security best practices outlined in the OWASP Top Ten and NIST SP 800-53 security controls. Additionally, memory safety enhancements such as stack canaries, address space layout randomization, and heap metadata protection should be implemented to detect and prevent exploitation attempts. Automotive security frameworks like ISO 21448 (SOTIF) and ISO 26262 should be consulted to ensure that the mitigation strategies maintain the safety integrity levels required for automotive applications. Regular security assessments and penetration testing of multimedia processing components should be conducted to identify similar vulnerabilities in other automotive subsystems. System updates and patches must follow automotive industry standards for deployment timing and rollback procedures to ensure that security improvements don't negatively impact vehicle functionality or introduce new safety risks during the update process.