CVE-2024-44973

Oct. 3, 2024, 2:23 p.m.

5.5
Medium

Description

In the Linux kernel, the following vulnerability has been resolved: mm, slub: do not call do_slab_free for kfence object In 782f8906f805 the freeing of kfence objects was moved from deep inside do_slab_free to the wrapper functions outside. This is a nice change, but unfortunately it missed one spot in __kmem_cache_free_bulk. This results in a crash like this: BUG skbuff_head_cache (Tainted: G S B E ): Padding overwritten. 0xffff88907fea0f00-0xffff88907fea0fff @offset=3840 slab_err (mm/slub.c:1129) free_to_partial_list (mm/slub.c:? mm/slub.c:4036) slab_pad_check (mm/slub.c:864 mm/slub.c:1290) check_slab (mm/slub.c:?) free_to_partial_list (mm/slub.c:3171 mm/slub.c:4036) kmem_cache_alloc_bulk (mm/slub.c:? mm/slub.c:4495 mm/slub.c:4586 mm/slub.c:4635) napi_build_skb (net/core/skbuff.c:348 net/core/skbuff.c:527 net/core/skbuff.c:549) All the other callers to do_slab_free appear to be ok. Add a kfence_free check in __kmem_cache_free_bulk to avoid the crash.

Product(s) Impacted

Vendor Product Versions
Linux
  • Linux Kernel
  • *, 6.11

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 / / / / / / / /
o linux linux_kernel 6.11 rc1 / / / / / /
o linux linux_kernel 6.11 rc2 / / / / / /

CVSS Score

5.5 / 10

CVSS Data

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • View Vector String

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

Date

  • Published: Sept. 4, 2024, 7:15 p.m.
  • Last Modified: Oct. 3, 2024, 2:23 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

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.