Memory Leak in ARM Mali GPU Kernel Driver Exposes Kernel Metadata
CVE-2023-26083 Published on April 6, 2023
Memory leak vulnerability in Mali GPU Kernel Driver in Midgard GPU Kernel Driver all versions from r6p0 - r32p0, Bifrost GPU Kernel Driver all versions from r0p0 - r42p0, Valhall GPU Kernel Driver all versions from r19p0 - r42p0, and Avalon GPU Kernel Driver all versions from r41p0 - r42p0 allows a non-privileged user to make valid GPU processing operations that expose sensitive kernel metadata.
Known Exploited Vulnerability
This Arm Mali GPU Kernel Driver Information Disclosure Vulnerability is part of CISA's list of Known Exploited Vulnerabilities. Arm Mali GPU Kernel Driver contains an information disclosure vulnerability that allows a non-privileged user to make valid GPU processing operations that expose sensitive kernel metadata.
The following remediation steps are recommended / required by April 28, 2023: Apply updates per vendor instructions.
Vulnerability Analysis
CVE-2023-26083 can be exploited with local system access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. This vulnerability is known to be actively exploited by threat actors. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality, a small impact on integrity and availability.
Weakness Type
What is a Memory Leak Vulnerability?
The software does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory. This is often triggered by improper handling of malformed data or unexpectedly interrupted sessions. In some languages, developers are responsible for tracking memory allocation and releasing the memory. If there are no more pointers or references to the memory, then it can no longer be tracked and identified for release.
CVE-2023-26083 has been classified to as a Memory Leak vulnerability or weakness.
Products Associated with CVE-2023-26083
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Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.