CVE-2026-68248 in Linux
Summary
by MITRE • 08/10/2026
In the Linux kernel, the following vulnerability has been resolved:
drm/i915: Return NULL on error in active_instance
Avoid returning &node->base when node is NULL due to OOM during GFP_ATOMIC allocation.
Discovered using AI-assisted static analysis confirmed by Intel Product Security.
(cherry picked from commit 6029bc064f0b1bac184203a50fbaaf070fa18832)
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Analysis
by VulDB Data Team • 08/10/2026
The vulnerability resides within the intel graphics driver component of the linux kernel specifically in the drm/i915 subsystem where improper error handling can lead to critical system instability. This issue manifests when memory allocation fails during atomic operations, creating a scenario where the code attempts to return a pointer to a structure that may not exist. The root cause stems from the active_instance function which fails to properly validate node pointer existence before dereferencing it, resulting in potential null pointer dereferences that could crash the entire system or provide attack vectors for privilege escalation.
The technical flaw occurs during memory allocation operations using GFP_ATOMIC flags where out-of-memory conditions can occur and are not properly handled. When node is allocated as NULL due to insufficient memory during atomic allocation, the code path still attempts to return &node->base which directly translates to returning a null pointer dereference. This pattern violates fundamental memory safety principles and creates a condition where the kernel's graphics subsystem can crash or behave unpredictably under memory pressure conditions that are common in production environments.
This vulnerability has significant operational impact as it affects the intel graphics driver component that is widely used across linux systems, particularly in enterprise and embedded deployments. The potential for system crashes and denial of service represents a serious threat to system stability, especially in mission-critical environments where graphics rendering is essential. Additionally, the vulnerability could be exploited by malicious actors to gain unauthorized access or escalate privileges through carefully crafted memory allocation scenarios that trigger the problematic code path.
The fix implements proper null pointer validation before attempting to return any structure members, ensuring that when node is NULL due to memory allocation failure, the function returns NULL explicitly rather than attempting to dereference a null pointer. This change aligns with standard kernel coding practices and security guidelines that emphasize defensive programming techniques for handling resource allocation failures. The mitigation approach follows established patterns recommended by the linux kernel community and addresses the specific weakness identified through AI-assisted static analysis tools that are increasingly being adopted in security verification processes.
The vulnerability classification aligns with CWE-476 which describes null pointer dereference conditions, and could potentially map to ATT&CK techniques related to privilege escalation or denial of service attacks. The fix demonstrates proper error handling patterns that should be applied throughout kernel codebases to prevent similar issues from occurring in other subsystems where memory allocation failures might not be properly accounted for during atomic operations. This specific issue also highlights the importance of using automated analysis tools in identifying subtle but critical race conditions and memory management errors that traditional testing approaches may miss.
The resolution represents a targeted fix that addresses the exact code path identified through static analysis, with the cherry-picked commit ensuring consistency across kernel versions where this vulnerability might exist. The fix maintains backward compatibility while eliminating the potential for system crashes or security issues related to improper memory handling in graphics driver components. This approach demonstrates how modern security practices combining automated analysis tools with expert review can identify and resolve subtle but impactful vulnerabilities that could otherwise remain undetected until exploited in production environments.