CVE-2024-50288

Nov. 27, 2024, 3:32 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: media: vivid: fix buffer overwrite when using > 32 buffers The maximum number of buffers that can be requested was increased to 64 for the video capture queue. But video capture used a must_blank array that was still sized for 32 (VIDEO_MAX_FRAME). This caused an out-of-bounds write when using buffer indices >= 32. Create a new define MAX_VID_CAP_BUFFERS that is used to access the must_blank array and set max_num_buffers for the video capture queue. This solves a crash reported by: https://bugzilla.kernel.org/show_bug.cgi?id=219258

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.12

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.

*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 / / / / / /
o linux linux_kernel 6.12 rc6 / / / / / /

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, 2:16 a.m.
Last Modified: Nov. 27, 2024, 3:32 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.