CVE-2019-0711 (GCVE-0-2019-0711)
Vulnerability from cvelistv5 – Published: 2019-06-12 13:49 – Updated: 2025-05-20 17:49
VLAI
EPSS
VEX
Title
Windows Hyper-V Denial of Service Vulnerability
Summary
A denial of service vulnerability exists when Microsoft Hyper-V on a host server fails to properly validate input from a privileged user on a guest operating system. To exploit the vulnerability, an attacker who already has a privileged account on a guest operating system, running as a virtual machine, could run a specially crafted application that causes a host machine to crash.
To exploit the vulnerability, an attacker who already has a privileged account on a guest operating system, running as a virtual machine, could run a specially crafted application.
The security update addresses the vulnerability by resolving a number of conditions where Hyper-V would fail to prevent a guest operating system from sending malicious requests.
Severity
CWE
- Denial of Service
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
| https://portal.msrc.microsoft.com/en-US/security-… | x_refsource_MISCx_transferred |
Impacted products
15 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Windows 10 Version 1703 |
Affected:
10.0.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1803 |
Affected:
10.0.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server, version 1803 (Server Core Installation) |
Affected:
10.0.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1709 |
Affected:
10.0.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1507 |
Affected:
10.0.10240.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2016 (Server Core installation) |
Affected:
10.0.14393.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 8.1 |
Affected:
6.3.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2012 R2 |
Affected:
6.3.9600.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2012 R2 (Server Core installation) |
Affected:
6.3.9600.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < publication
(custom)
|
guessed | |
| Microsoft | Windows Server 2019 (Server Core installation) |
Affected:
10.0.17763.0 , < publication
(custom)
|
guessed |
Date Public
2019-06-11 07:00
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"value": "A denial of service vulnerability exists when Microsoft Hyper-V on a host server fails to properly validate input from a privileged user on a guest operating system. To exploit the vulnerability, an attacker who already has a privileged account on a guest operating system, running as a virtual machine, could run a specially crafted application that causes a host machine to crash.\nTo exploit the vulnerability, an attacker who already has a privileged account on a guest operating system, running as a virtual machine, could run a specially crafted application.\nThe security update addresses the vulnerability by resolving a number of conditions where Hyper-V would fail to prevent a guest operating system from sending malicious requests."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de denegaci\u00f3n de servicio cuando Microsoft Hyper-V en el servidor Host falla para validar correctamente entradas de un usuario con privilegios o un sistema operativo invitado, conocido como Windows Hyper-V Denial of service Vulnerability. Este CVE ID es \u00fanico desde CVE 2019-0710, CVE-2019-0713"
}
],
"id": "CVE-2019-0711",
"lastModified": "2025-05-20T18:15:28.603",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 5.5,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:A/AC:L/Au:S/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 5.1,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:A/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 2.3,
"impactScore": 4.0,
"source": "nvd@nist.gov",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 4.0,
"source": "secure@microsoft.com",
"type": "Primary"
}
]
},
"published": "2019-06-12T14:29:01.213",
"references": [
{
"source": "secure@microsoft.com",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2019-0711"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2019-0711"
}
],
"sourceIdentifier": "secure@microsoft.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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