CVE-2024-46866

Oct. 1, 2024, 5:09 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: drm/xe/client: add missing bo locking in show_meminfo() bo_meminfo() wants to inspect bo state like tt and the ttm resource, however this state can change at any point leading to stuff like NPD and UAF, if the bo lock is not held. Grab the bo lock when calling bo_meminfo(), ensuring we drop any spinlocks first. In the case of object_idr we now also need to hold a ref. v2 (MattB) - Also add xe_bo_assert_held() (cherry picked from commit 4f63d712fa104c3ebefcb289d1e733e86d8698c7)

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-667
Improper Locking
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.

*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 6.11 rc1 / / / / / /
o linux linux_kernel 6.11 rc2 / / / / / /
o linux linux_kernel 6.11 rc3 / / / / / /
o linux linux_kernel 6.11 rc4 / / / / / /
o linux linux_kernel 6.11 rc5 / / / / / /
o linux linux_kernel 6.11 rc6 / / / / / /
o linux linux_kernel 6.11 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: Sept. 27, 2024, 1:15 p.m.
Last Modified: Oct. 1, 2024, 5:09 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

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.