CVE-2022-49966 (GCVE-0-2022-49966)
Vulnerability from cvelistv5 – Published: 2025-06-18 11:00 – Updated: 2026-08-15 12:23
VLAI
EPSS
VEX
Title
drm/amd/pm: add missing ->fini_microcode interface for Sienna Cichlid
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/amd/pm: add missing ->fini_microcode interface for Sienna Cichlid
To avoid any potential memory leak.
Severity
5.5 (Medium)
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
6f47116e57d6288e64e4e7a40db537f0d423826d , < 60d522f317078381ff8a3599fe808f96fc256cd5
(git)
Affected: 6f47116e57d6288e64e4e7a40db537f0d423826d , < a89e753d5a9f3b321f4a3098e2755c5aabcff0af (git) Affected: 6f47116e57d6288e64e4e7a40db537f0d423826d , < 4d21584ac6392aa66171b7efd647ecd1a447556b (git) Affected: 6f47116e57d6288e64e4e7a40db537f0d423826d , < 0a2d922a5618377cdf8fa476351362733ef55342 (git) |
guessed | |
| Linux | Linux |
Affected:
5.9
Unaffected: 0 , < 5.9 (semver) Unaffected: 5.10.141 , ≤ 5.10.* (semver) Unaffected: 5.15.65 , ≤ 5.15.* (semver) Unaffected: 5.19.7 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed |
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Linux",
"programFiles": [
"drivers/gpu/drm/amd/pm/swsmu/smu11/sienna_cichlid_ppt.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
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"versionType": "git"
},
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}
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],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
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"version": "5.9"
},
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},
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},
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}
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}
],
"cpeApplicability": [
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"negate": false,
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}
]
}
],
"descriptions": [
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"value": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amd/pm: add missing -\u003efini_microcode interface for Sienna Cichlid\n\nTo avoid any potential memory leak."
}
],
"providerMetadata": {
"dateUpdated": "2026-08-15T12:23:00.075Z",
"orgId": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"shortName": "Linux"
},
"references": [
{
"url": "https://git.kernel.org/stable/c/60d522f317078381ff8a3599fe808f96fc256cd5"
},
{
"url": "https://git.kernel.org/stable/c/a89e753d5a9f3b321f4a3098e2755c5aabcff0af"
},
{
"url": "https://git.kernel.org/stable/c/4d21584ac6392aa66171b7efd647ecd1a447556b"
},
{
"url": "https://git.kernel.org/stable/c/0a2d922a5618377cdf8fa476351362733ef55342"
}
],
"title": "drm/amd/pm: add missing -\u003efini_microcode interface for Sienna Cichlid",
"x_generator": {
"engine": "bippy-1.2.0"
}
}
},
"cveMetadata": {
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"assignerShortName": "Linux",
"cveId": "CVE-2022-49966",
"datePublished": "2025-06-18T11:00:31.078Z",
"dateReserved": "2025-06-18T10:57:27.384Z",
"dateUpdated": "2026-08-15T12:23:00.075Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2022-49966",
"date": "2026-09-16",
"epss": "0.00223",
"percentile": "0.13015"
},
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-06-30T10:20:44+00:00",
"cve": "CVE-2022-49966",
"id": "CVE-2022-49966",
"initial_release_date": "2022-01-01T00:00:00+00:00",
"product_status:fixed": "321",
"product_status:known_affected": "38",
"product_status:known_not_affected": "118",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: drm/amd/pm: add missing -\u003efini_microcode interface for Sienna Cichlid",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-49966.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-12T17:10:50Z",
"cve": "CVE-2022-49966",
"id": "CVE-2022-49966",
"initial_release_date": "2025-06-19T03:45:22Z",
"product_status:known_affected": "344",
"product_status:known_not_affected": "390",
"product_status:recommended": "253",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-49966",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-49966.json",
"version": "42"
}
}
}
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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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