CVE-2026-68436

Description

A flaw was found in the Linux kernel's drm/amd/display component. This vulnerability occurs when the struct dc data structure, which is used for display management, grows beyond a certain memory allocation limit. When this limit is exceeded, the system fails to allocate the necessary memory, leading to the display becoming unusable and the graphics processing unit (GPU) initialization failing. This can result in a denial of service, preventing the system from properly utilizing the display.

Statement

This issue affects systems using the AMDGPU display stack (drm/amd/display). struct dc has grown large enough that kzalloc() may request contiguous allocations above the page allocator limit, causing display initialization to fail on some compiler/config combinations. Systems without AMD GPUs are not affected.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score5.5N/AN/A
Attack VectorLocalN/AN/A
Attack ComplexityLowN/AN/A
Privileges RequiredLowN/AN/A
User InteractionNoneN/AN/A
ScopeUnchangedN/AN/A
ConfidentialityNoneN/AN/A
Integrity ImpactNoneN/AN/A
Availability ImpactHighN/AN/A

Vector

Red Hat: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Understanding the Weakness (CWE)

Availability

Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

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