CVE-2022-49729

March 7, 2025, 8:46 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: nfc: nfcmrvl: Fix memory leak in nfcmrvl_play_deferred Similar to the handling of play_deferred in commit 19cfe912c37b ("Bluetooth: btusb: Fix memory leak in play_deferred"), we thought a patch might be needed here as well. Currently usb_submit_urb is called directly to submit deferred tx urbs after unanchor them. So the usb_giveback_urb_bh would failed to unref it in usb_unanchor_urb and cause memory leak. Put those urbs in tx_anchor to avoid the leak, and also fix the error handling.

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 5.19

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-401
Missing Release of Memory after Effective Lifetime
The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory.

*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 5.19 rc1 / / / / / /

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: Feb. 26, 2025, 7:01 a.m.
Last Modified: March 7, 2025, 8:46 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.