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EUVD-2026-344988
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 07:59
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T07:59:01.435675+00:00",
"id": "EUVD-2026-344988"
}
CVE-2023-52438 (GCVE-0-2023-52438)
Vulnerability from cvelistv5 – Published: 2024-02-20 18:34 – Updated: 2026-08-05 09:09
VLAI
EPSS
VEX
Title
binder: fix use-after-free in shinker's callback
Summary
In the Linux kernel, the following vulnerability has been resolved:
binder: fix use-after-free in shinker's callback
The mmap read lock is used during the shrinker's callback, which means
that using alloc->vma pointer isn't safe as it can race with munmap().
As of commit dd2283f2605e ("mm: mmap: zap pages with read mmap_sem in
munmap") the mmap lock is downgraded after the vma has been isolated.
I was able to reproduce this issue by manually adding some delays and
triggering page reclaiming through the shrinker's debug sysfs. The
following KASAN report confirms the UAF:
==================================================================
BUG: KASAN: slab-use-after-free in zap_page_range_single+0x470/0x4b8
Read of size 8 at addr ffff356ed50e50f0 by task bash/478
CPU: 1 PID: 478 Comm: bash Not tainted 6.6.0-rc5-00055-g1c8b86a3799f-dirty #70
Hardware name: linux,dummy-virt (DT)
Call trace:
zap_page_range_single+0x470/0x4b8
binder_alloc_free_page+0x608/0xadc
__list_lru_walk_one+0x130/0x3b0
list_lru_walk_node+0xc4/0x22c
binder_shrink_scan+0x108/0x1dc
shrinker_debugfs_scan_write+0x2b4/0x500
full_proxy_write+0xd4/0x140
vfs_write+0x1ac/0x758
ksys_write+0xf0/0x1dc
__arm64_sys_write+0x6c/0x9c
Allocated by task 492:
kmem_cache_alloc+0x130/0x368
vm_area_alloc+0x2c/0x190
mmap_region+0x258/0x18bc
do_mmap+0x694/0xa60
vm_mmap_pgoff+0x170/0x29c
ksys_mmap_pgoff+0x290/0x3a0
__arm64_sys_mmap+0xcc/0x144
Freed by task 491:
kmem_cache_free+0x17c/0x3c8
vm_area_free_rcu_cb+0x74/0x98
rcu_core+0xa38/0x26d4
rcu_core_si+0x10/0x1c
__do_softirq+0x2fc/0xd24
Last potentially related work creation:
__call_rcu_common.constprop.0+0x6c/0xba0
call_rcu+0x10/0x1c
vm_area_free+0x18/0x24
remove_vma+0xe4/0x118
do_vmi_align_munmap.isra.0+0x718/0xb5c
do_vmi_munmap+0xdc/0x1fc
__vm_munmap+0x10c/0x278
__arm64_sys_munmap+0x58/0x7c
Fix this issue by performing instead a vma_lookup() which will fail to
find the vma that was isolated before the mmap lock downgrade. Note that
this option has better performance than upgrading to a mmap write lock
which would increase contention. Plus, mmap_write_trylock() has been
recently removed anyway.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-21 15:23 UTC
Assigner
References
8 references
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Linux | Linux |
Affected:
dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < a53e15e592b4dcc91c3a3b8514e484a0bdbc53a3
(git)
Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < c8c1158ffb007197f31f9d9170cf13e4f34cbb5c (git) Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < 8ad4d580e8aff8de2a4d57c5930fcc29f1ffd4a6 (git) Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < 9fa04c93f24138747807fe75b5591bb680098f56 (git) Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < a49087ab93508b60d9b8add91707a22dda832869 (git) Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < e074686e993ff1be5f21b085a3b1b4275ccd5727 (git) Affected: dd2283f2605e3b3e9c61bcae844b34f2afa4813f , < 3f489c2067c5824528212b0fc18b28d51332d906 (git) |
|
| Linux | Linux |
Affected:
4.20
Unaffected: 0 , < 4.20 (semver) Unaffected: 5.4.268 , ≤ 5.4.* (semver) Unaffected: 5.10.209 , ≤ 5.10.* (semver) Unaffected: 5.15.148 , ≤ 5.15.* (semver) Unaffected: 6.1.74 , ≤ 6.1.* (semver) Unaffected: 6.6.13 , ≤ 6.6.* (semver) Unaffected: 6.7.1 , ≤ 6.7.* (semver) Unaffected: 6.8 , ≤ * (original_commit_for_fix) |
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Trend slope:
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(linear fit over daily sighting counts)
Show additional events:
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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