CVE-2020-3960 (GCVE-0-2020-3960)
Vulnerability from cvelistv5 – Published: 2021-09-15 12:14 – Updated: 2024-08-04 07:52
VLAI
EPSS
VEX
Summary
VMware ESXi (6.7 before ESXi670-202006401-SG and 6.5 before ESXi650-202005401-SG), Workstation (15.x before 15.5.5), and Fusion (11.x before 11.5.5) contain an out-of-bounds read vulnerability in NVMe functionality. A malicious actor with local non-administrative access to a virtual machine with a virtual NVMe controller present may be able to read privileged information contained in physical memory.
Severity
8.4 (High)
CWE
- Out-of-bounds read vulnerability
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.vmware.com/security/advisories/VMSA-2… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | VMware ESXi, Workstation, and Fusion |
Affected:
VMware ESXi (6.7 before ESXi670-202006401-SG and 6.5 before ESXi650-202005401-SG), Workstation (15.x before 15.5.5), and Fusion (11.x before 11.5.5)
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"scope": "CHANGED",
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"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.0,
"impactScore": 5.8,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-09-15T13:15:07.577",
"references": [
{
"source": "security@vmware.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.vmware.com/security/advisories/VMSA-2020-0012.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.vmware.com/security/advisories/VMSA-2020-0012.html"
}
],
"sourceIdentifier": "security@vmware.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-05-22T15:35:47+00:00",
"cve": "CVE-2020-3960",
"id": "CVE-2020-3960",
"initial_release_date": "2020-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2020-3960",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-3960.json",
"version": "3"
}
}
}
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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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