CVE-2024-46837

Oct. 9, 2024, 3:37 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: drm/panthor: Restrict high priorities on group_create We were allowing any users to create a high priority group without any permission checks. As a result, this was allowing possible denial of service. We now only allow the DRM master or users with the CAP_SYS_NICE capability to set higher priorities than PANTHOR_GROUP_PRIORITY_MEDIUM. As the sole user of that uAPI lives in Mesa and hardcode a value of MEDIUM [1], this should be safe to do. Additionally, as those checks are performed at the ioctl level, panthor_group_create now only check for priority level validity. [1]https://gitlab.freedesktop.org/mesa/mesa/-/blob/f390835074bdf162a63deb0311d1a6de527f9f89/src/gallium/drivers/panfrost/pan_csf.c#L1038

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.11

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 6.11 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 / / / / / /

CVSS Score

5.5 / 10

CVSS Data

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • View Vector String

    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Date

  • Published: Sept. 27, 2024, 1:15 p.m.
  • Last Modified: Oct. 9, 2024, 3:37 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.