CVE-2022-49288

Feb. 27, 2025, 6:15 p.m.

7.8
High

Description

In the Linux kernel, the following vulnerability has been resolved: ALSA: pcm: Fix races among concurrent prealloc proc writes We have no protection against concurrent PCM buffer preallocation changes via proc files, and it may potentially lead to UAF or some weird problem. This patch applies the PCM open_mutex to the proc write operation for avoiding the racy proc writes and the PCM stream open (and further operations).

Product(s) Impacted

Product Versions
Linux kernel
  • []

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-416
Use After Free
Referencing memory after it has been freed can cause a program to crash, use unexpected values, or execute code.

References

https://git.kernel.org/stable/c/37b12c16beb6f6c1c3c678c1aacbc46525c250f7
https://git.kernel.org/stable/c/51fce708ab8986a9879ee5da946a2cc120f1036d
https://git.kernel.org/stable/c/5ed8f8e3c4e59d0396b9ccf2e639711e24295bb6
https://git.kernel.org/stable/c/69534c48ba8ce552ce383b3dfdb271ffe51820c3
https://git.kernel.org/stable/c/a21d2f323b5a978dedf9ff1d50f101f85e39b3f2
https://git.kernel.org/stable/c/b560d670c87d7d40b3cf6949246fa4c7aa65a00a
https://git.kernel.org/stable/c/e14dca613e0a6ddc2bf6e360f16936a9f865205b
https://git.kernel.org/stable/c/e7786c445bb67a9a6e64f66ebd6b7215b153ff7d

Tags

416baaa9-dc9f-4396-8d5f-8c081fb06d67
CWE-416
2025-02-26
CVE-2022-49288

CVSS Score

7.8 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH

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

    View Vector String

Timeline

Published: Feb. 26, 2025, 7:01 a.m.
Last Modified: Feb. 27, 2025, 6:15 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.