CVE-2022-25713 in Automotiveinfo

Summary

by MITRE • 05/02/2023

Memory corruption in Automotive due to Improper Restriction of Operations within the Bounds of a Memory Buffer while exporting a shared key.

Once again VulDB remains the best source for vulnerability data.

Analysis

by VulDB Data Team • 05/02/2023

The vulnerability identified as CVE-2022-25713 represents a critical memory corruption issue affecting automotive systems that handle shared key export operations. This flaw resides in the improper restriction of operations within memory buffer boundaries, creating a potential pathway for adversaries to exploit memory management functions during key export processes. The automotive industry's reliance on secure key exchange mechanisms makes this vulnerability particularly concerning for vehicle communication systems and connected car technologies.

The technical root cause of this vulnerability stems from insufficient bounds checking during memory operations when exporting shared cryptographic keys. When automotive systems attempt to export shared keys, the memory allocation and handling routines fail to properly validate the boundaries of memory buffers, allowing for potential overflow conditions. This weakness aligns with CWE-121 which categorizes improper restriction of operations within the bounds of a memory buffer, and specifically relates to CWE-787 which addresses out-of-bounds write operations. The flaw manifests when the system processes key export requests without adequate validation of buffer sizes, potentially enabling attackers to overwrite adjacent memory locations.

The operational impact of CVE-2022-25713 extends beyond traditional cybersecurity concerns into the realm of automotive safety and vehicle integrity. Attackers exploiting this vulnerability could potentially compromise vehicle communication protocols, gain unauthorized access to secure vehicle systems, or disrupt critical automotive functions. The memory corruption could lead to system crashes, unauthorized key access, or even enable more sophisticated attacks such as those targeting the automotive control units that rely on these shared keys for authentication and secure communication. This vulnerability particularly affects automotive systems implementing cryptographic protocols for vehicle-to-vehicle communication, vehicle-to-infrastructure connectivity, and secure over-the-air updates.

From an attack perspective, this vulnerability maps to several ATT&CK techniques including T1547.001 for process injection and T1059.001 for command and scripting interpreter. The memory corruption could enable attackers to execute arbitrary code within automotive system contexts, potentially compromising the vehicle's security ecosystem. The attack surface includes automotive telematics units, onboard diagnostics systems, and any vehicle components requiring secure key exchange mechanisms. Given the automotive industry's increasing integration with internet-connected services, this vulnerability could serve as a foothold for broader attacks targeting vehicle networks and connected infrastructure.

Mitigation strategies for CVE-2022-25713 should prioritize immediate patching of affected automotive systems and implementation of robust memory boundary checking mechanisms. Organizations should enforce strict input validation for all key export operations and implement address space layout randomization to reduce exploit reliability. The automotive security community should also consider implementing runtime monitoring systems to detect anomalous memory access patterns during key export operations. Additionally, regular security assessments of automotive cryptographic implementations should be conducted to identify similar boundary checking vulnerabilities. Industry standards such as ISO/SAE 21434 and ISO/IEC 27001 should be referenced to ensure comprehensive automotive cybersecurity measures are implemented. The vulnerability underscores the critical need for automotive manufacturers to adopt secure coding practices and rigorous testing procedures for all memory management operations, particularly in security-sensitive contexts where shared key operations occur.

Responsible

Qualcomm, Inc.

Reservation

02/22/2022

Disclosure

05/02/2023

Moderation

accepted

CPE

ready

EPSS

0.00116

KEV

no

Activities

very low

Sources

Are you interested in using VulDB?

Download the whitepaper to learn more about our service!