CVE-2022-48670 (GCVE-0-2022-48670)
Vulnerability from cvelistv5 – Published: 2024-05-03 14:49 – Updated: 2026-08-12 23:57
VLAI
EPSS
VEX
Title
peci: cpu: Fix use-after-free in adev_release()
Summary
In the Linux kernel, the following vulnerability has been resolved:
peci: cpu: Fix use-after-free in adev_release()
When auxiliary_device_add() returns an error, auxiliary_device_uninit()
is called, which causes refcount for device to be decremented and
.release callback will be triggered.
Because adev_release() re-calls auxiliary_device_uninit(), it will cause
use-after-free:
[ 1269.455172] WARNING: CPU: 0 PID: 14267 at lib/refcount.c:28 refcount_warn_saturate+0x110/0x15
[ 1269.464007] refcount_t: underflow; use-after-free.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-04 17:01 UTC
CWE
- CWE-416 - Use After Free
Assigner
References
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
93e1821c80f9460c8931dc4bc090ede794f966cd , < c87f1f99e26ea4ae08cabe753ae98e5626bdba89
(git)
Affected: 93e1821c80f9460c8931dc4bc090ede794f966cd , < 1c11289b34ab67ed080bbe0f1855c4938362d9cf (git) |
guessed | |
| Linux | Linux |
Affected:
5.18
Unaffected: 0 , < 5.18 (semver) Unaffected: 5.19.10 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed | |
| linux | linux_kernel |
Affected:
-1da177e4c3f4
cpe:2.3:a:linux:linux_kernel:-:*:*:*:*:*:*:* |
||
| linux | linux_kernel |
Unaffected:
-5.19.10
cpe:2.3:o:linux:linux_kernel:-:*:*:*:*:*:*:* |
||
| linux | linux_kernel |
Unaffected:
-6.0
cpe:2.3:a:linux:linux_kernel:-:*:*:*:*:*:*:* |
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],
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"initial_release_date": "2024-05-04T02:29:10Z",
"product_status:known_not_affected": "641",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-48670",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-48670.json",
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}
}
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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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