CVE-2024-53075

Nov. 25, 2024, 1:58 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: riscv: Prevent a bad reference count on CPU nodes When populating cache leaves we previously fetched the CPU device node at the very beginning. But when ACPI is enabled we go through a specific branch which returns early and does not call 'of_node_put' for the node that was acquired. Since we are not using a CPU device node for the ACPI code anyways, we can simply move the initialization of it just passed the ACPI block, and we are guaranteed to have an 'of_node_put' call for the acquired node. This prevents a bad reference count of the CPU device node. Moreover, the previous function did not check for errors when acquiring the device node, so a return -ENOENT has been added for that case.

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.12

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 6.12 rc1 / / / / / /
o linux linux_kernel 6.12 rc2 / / / / / /
o linux linux_kernel 6.12 rc3 / / / / / /
o linux linux_kernel 6.12 rc4 / / / / / /
o linux linux_kernel 6.12 rc5 / / / / / /

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: Nov. 19, 2024, 6:15 p.m.
Last Modified: Nov. 25, 2024, 1:58 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.