CVE-2025-22011

April 10, 2025, 1:10 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: ARM: dts: bcm2711: Fix xHCI power-domain During s2idle tests on the Raspberry CM4 the VPU firmware always crashes on xHCI power-domain resume: root@raspberrypi:/sys/power# echo freeze > state [ 70.724347] xhci_suspend finished [ 70.727730] xhci_plat_suspend finished [ 70.755624] bcm2835-power bcm2835-power: Power grafx off [ 70.761127] USB: Set power to 0 [ 74.653040] USB: Failed to set power to 1 (-110) This seems to be caused because of the mixed usage of raspberrypi-power and bcm2835-power at the same time. So avoid the usage of the VPU firmware power-domain driver, which prevents the VPU crash.

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.14

Weaknesses

Common security weaknesses mapped to this vulnerability.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel 6.14 rc1 / / / / / /
o linux linux_kernel 6.14 rc2 / / / / / /
o linux linux_kernel 6.14 rc3 / / / / / /
o linux linux_kernel 6.14 rc4 / / / / / /
o linux linux_kernel 6.14 rc5 / / / / / /
o linux linux_kernel 6.14 rc6 / / / / / /
o linux linux_kernel 6.14 rc7 / / / / / /

CVSS Score

5.5 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: April 8, 2025, 9:15 a.m.
Last Modified: April 10, 2025, 1:10 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

416baaa9-dc9f-4396-8d5f-8c081fb06d67

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.