CVE-2025-38168

July 3, 2025, 3:13 p.m.

None
No Score

Description

In the Linux kernel, the following vulnerability has been resolved: perf: arm-ni: Unregister PMUs on probe failure When a resource allocation fails in one clock domain of an NI device, we need to properly roll back all previously registered perf PMUs in other clock domains of the same device. Otherwise, it can lead to kernel panics. Calling arm_ni_init+0x0/0xff8 [arm_ni] @ 2374 arm-ni ARMHCB70:00: Failed to request PMU region 0x1f3c13000 arm-ni ARMHCB70:00: probe with driver arm-ni failed with error -16 list_add corruption: next->prev should be prev (fffffd01e9698a18), but was 0000000000000000. (next=ffff10001a0decc8). pstate: 6340009 (nZCv daif +PAN -UAO +TCO +DIT -SSBS BTYPE=--) pc : list_add_valid_or_report+0x7c/0xb8 lr : list_add_valid_or_report+0x7c/0xb8 Call trace: __list_add_valid_or_report+0x7c/0xb8 perf_pmu_register+0x22c/0x3a0 arm_ni_probe+0x554/0x70c [arm_ni] platform_probe+0x70/0xe8 really_probe+0xc6/0x4d8 driver_probe_device+0x48/0x170 __driver_attach+0x8e/0x1c0 bus_for_each_dev+0x64/0xf0 driver_add+0x138/0x260 bus_add_driver+0x68/0x138 __platform_driver_register+0x2c/0x40 arm_ni_init+0x14/0x2a [arm_ni] do_init_module+0x36/0x298 ---[ end trace 0000000000000000 ]--- Kernel panic - not syncing: Oops - BUG: Fatal exception SMP: stopping secondary CPUs

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *

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 / / / / / / / /

Timeline

Published: July 3, 2025, 9:15 a.m.
Last Modified: July 3, 2025, 3:13 p.m.

Status : Awaiting Analysis

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.