CVE-2024-53173

Jan. 14, 2025, 5:11 p.m.

7.8
High

Description

In the Linux kernel, the following vulnerability has been resolved: NFSv4.0: Fix a use-after-free problem in the asynchronous open() Yang Erkun reports that when two threads are opening files at the same time, and are forced to abort before a reply is seen, then the call to nfs_release_seqid() in nfs4_opendata_free() can result in a use-after-free of the pointer to the defunct rpc task of the other thread. The fix is to ensure that if the RPC call is aborted before the call to nfs_wait_on_sequence() is complete, then we must call nfs_release_seqid() in nfs4_open_release() before the rpc_task is freed.

Product(s) Impacted

Vendor Product Versions
Linux
  • 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.

*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 / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /
o linux linux_kernel / / / / / / / /

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: Dec. 27, 2024, 2:15 p.m.
Last Modified: Jan. 14, 2025, 5:11 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.