{
  "id": "CVE-2024-27411",
  "sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
  "published": "2024-05-17T12:15:11.910",
  "lastModified": "2024-05-17T18:35:35.070",
  "vulnStatus": "Awaiting Analysis",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/nouveau: keep DMA buffers required for suspend/resume\n\nNouveau deallocates a few buffers post GPU init which are required for GPU suspend/resume to function correctly.\nThis is likely not as big an issue on systems where the NVGPU is the only GPU, but on multi-GPU set ups it leads to a regression where the kernel module errors and results in a system-wide rendering freeze.\n\nThis commit addresses that regression by moving the two buffers required for suspend and resume to be deallocated at driver unload instead of post init."
    },
    {
      "lang": "es",
      "value": "En el kernel de Linux, se resolvi\u00f3 la siguiente vulnerabilidad: drm/nouveau: mantiene los buffers DMA necesarios para suspender/reanudar Nouveau desasigna algunos buffers despu\u00e9s del inicio de GPU que son necesarios para que la suspensi\u00f3n/reanudaci\u00f3n de GPU funcione correctamente. Probablemente esto no sea un problema tan grande en sistemas donde la NVGPU es la \u00fanica GPU, pero en configuraciones de m\u00faltiples GPU conduce a una regresi\u00f3n en la que el m\u00f3dulo del kernel genera errores y provoca una congelaci\u00f3n de la representaci\u00f3n en todo el sistema. Esta confirmaci\u00f3n soluciona esa regresi\u00f3n moviendo los dos buffers necesarios para suspender y reanudar para que se desasignen durante la descarga del controlador en lugar de despu\u00e9s del inicio."
    }
  ],
  "metrics": {},
  "references": [
    {
      "url": "https://git.kernel.org/stable/c/be00e15b240ed71fc30c0576af7ab670c8271661",
      "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
    },
    {
      "url": "https://git.kernel.org/stable/c/f6ecfdad359a01c7fd8a3bcfde3ef0acdf107e6e",
      "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
    }
  ]
}