CVE-2022-49076

Feb. 27, 2025, 7:15 p.m.

7.8
High

Description

In the Linux kernel, the following vulnerability has been resolved: RDMA/hfi1: Fix use-after-free bug for mm struct Under certain conditions, such as MPI_Abort, the hfi1 cleanup code may represent the last reference held on the task mm. hfi1_mmu_rb_unregister() then drops the last reference and the mm is freed before the final use in hfi1_release_user_pages(). A new task may allocate the mm structure while it is still being used, resulting in problems. One manifestation is corruption of the mmap_sem counter leading to a hang in down_write(). Another is corruption of an mm struct that is in use by another task.

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/0b7186d657ee55e2cdefae498f07d5c1961e8023
https://git.kernel.org/stable/c/2bbac98d0930e8161b1957dc0ec99de39ade1b3c
https://git.kernel.org/stable/c/5a9a1b24ddb510715f8f621263938186579a965c
https://git.kernel.org/stable/c/5f54364ff6cfcd14cddf5441c4a490bb28dd69f7
https://git.kernel.org/stable/c/9ca11bd8222a612de0d2f54d050bfcf61ae2883f

Tags

416baaa9-dc9f-4396-8d5f-8c081fb06d67
CWE-416
2025-02-26
CVE-2022-49076

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 a.m.
Last Modified: Feb. 27, 2025, 7:15 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.