CVE-2022-50269

Sept. 15, 2025, 3:22 p.m.

None
No Score

Description

In the Linux kernel, the following vulnerability has been resolved: drm/vkms: Fix memory leak in vkms_init() A memory leak was reported after the vkms module install failed. unreferenced object 0xffff88810bc28520 (size 16): comm "modprobe", pid 9662, jiffies 4298009455 (age 42.590s) hex dump (first 16 bytes): 01 01 00 64 81 88 ff ff 00 00 dc 0a 81 88 ff ff ...d............ backtrace: [<00000000e7561ff8>] kmalloc_trace+0x27/0x60 [<000000000b1954a0>] 0xffffffffc45200a9 [<00000000abbf1da0>] do_one_initcall+0xd0/0x4f0 [<000000001505ee87>] do_init_module+0x1a4/0x680 [<00000000958079ad>] load_module+0x6249/0x7110 [<00000000117e4696>] __do_sys_finit_module+0x140/0x200 [<00000000f74b12d2>] do_syscall_64+0x35/0x80 [<000000008fc6fcde>] entry_SYSCALL_64_after_hwframe+0x46/0xb0 The reason is that the vkms_init() returns without checking the return value of vkms_create(), and if the vkms_create() failed, the config allocated at the beginning of vkms_init() is leaked. vkms_init() config = kmalloc(...) # config allocated ... return vkms_create() # vkms_create failed and config is leaked Fix this problem by checking return value of vkms_create() and free the config if error happened.

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • Vkms
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

*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 / / / / / / / /
a linux vkms / / / / / / / /

Timeline

Published: Sept. 15, 2025, 3:15 p.m.
Last Modified: Sept. 15, 2025, 3:22 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.