Findings

CVE-2026-24197

NVIDIA Display Driver for Linux contains a vulnerability in the Multi-Instance GPU (MIG) partition management, where an insecure default initialization of memory subsy…

Published May 26, 2026 · updated Jul 24, 2026 · nvidia gpu display driver

NVIDIA Display Driver for Linux contains a vulnerability in the Multi-Instance GPU (MIG) partition management, where an insecure default initialization of memory subsystem routing resources could lead to data corruption or a hang during partition reconfiguration. A successful exploit of this vulnerability might lead to denial of service.

Code

The project this record applies to. Exploit listings stay in References.

No public source repository is identified for this product.

Timeline

Detection, updates, and resolution for this record.

  1. May 26, 2026 · NIST NVD

    Detected

    NVIDIA Display Driver for Linux contains a vulnerability in the Multi-Instance GPU (MIG) partition management, where an insecure default initialization of memory subsystem routing resources could lead to data corruption or a hang during partition reconfiguration. A successful exploit of this vulnerability might lead to denial of service.

  2. Jul 24, 2026 · NIST NVD

    Updated

    NVIDIA Display Driver for Linux contains a vulnerability in the Multi-Instance GPU (MIG) partition management, where an insecure default initialization of memory subsystem routing resources could lead to data corruption or a hang during partition reconfiguration. A successful exploit of this vulnerability might lead to denial of service.

Affected

  • cpe nvidia/gpu display driverversion unspecified

Sources

  • CVE.orgVulnerability recordCVE-2026-24197

    Official CVE identifier

    cve.org
  • NIST NVDVulnerability recordCVE-2026-24197

    NVIDIA Display Driver for Linux contains a vulnerability in the Multi-Instance GPU (MIG) partition management, where an insecure default initialization of memory subsystem routing resources could lead to data corruption or a hang during partition reconfiguration. A successful exp

    nvd.nist.gov

References