CVE-2021-26342 (GCVE-0-2021-26342)
Vulnerability from cvelistv5 – Published: 2022-05-11 16:21 – Updated: 2024-09-16 16:32
VLAI
EPSS
VEX
Summary
In SEV guest VMs, the CPU may fail to flush the Translation Lookaside Buffer (TLB) following a particular sequence of operations that includes creation of a new virtual machine control block (VMCB). The failure to flush the TLB may cause the microcode to use stale TLB translations which may allow for disclosure of SEV guest memory contents. Users of SEV-ES/SEV-SNP guest VMs are not impacted by this vulnerability.
Severity
CWE
- tbd
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.amd.com/en/corporate/product-security… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| AMD | EPYC™ Processors |
Affected:
various
|
guessed |
Date Public
2022-05-10 00:00
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{
"lang": "es",
"value": "En las m\u00e1quinas virtuales invitadas de SEV, la CPU puede fallar al vaciar la memoria intermedia de traducci\u00f3n (TLB) despu\u00e9s de una secuencia particular de operaciones que incluye la creaci\u00f3n de un nuevo bloque de control de m\u00e1quina virtual (VMCB). El fallo en el vaciado del TLB puede causar que el microc\u00f3digo use traducciones del TLB obsoletas, lo que puede permitir una divulgaci\u00f3n del contenido de la memoria del hu\u00e9sped de SEV. Los usuarios de m\u00e1quinas virtuales invitadas SEV-ES/SEV-SNP no est\u00e1n afectados por esta vulnerabilidad"
}
],
"id": "CVE-2021-26342",
"lastModified": "2024-11-21T05:56:09.363",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 3.3,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-05-11T17:15:08.297",
"references": [
{
"source": "psirt@amd.com",
"tags": [
"Vendor Advisory"
],
"url": "https://www.amd.com/en/corporate/product-security/bulletin/amd-sb-1028"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://www.amd.com/en/corporate/product-security/bulletin/amd-sb-1028"
}
],
"sourceIdentifier": "psirt@amd.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-27T14:29:46+00:00",
"cve": "CVE-2021-26342",
"id": "CVE-2021-26342",
"initial_release_date": "2021-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2021-26342",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-26342.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-09-04T00:47:08Z",
"cve": "CVE-2021-26342",
"id": "CVE-2021-26342",
"initial_release_date": "2023-02-15T03:44:45Z",
"product_status:known_affected": "11",
"product_status:known_not_affected": "1",
"product_status:recommended": "1257",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2021-26342",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2021-26342.json",
"version": "35"
}
}
}
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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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