CVE-2023-36914 (GCVE-0-2023-36914)
Vulnerability from cvelistv5 – Published: 2023-08-08 17:08 – Updated: 2026-08-10 15:11
VLAI
EPSS
VEX
Title
Windows Smart Card Resource Management Server Security Feature Bypass Vulnerability
Summary
Windows Smart Card Resource Management Server Security Feature Bypass Vulnerability
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-11 18:56 UTC
CWE
- Security Feature Bypass
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19044.0 , < 10.0.19044.3324
(custom)
|
guessed | |
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.3324
(custom)
|
guessed | |
| Microsoft | Windows 11 version 21H2 |
Affected:
10.0.22000.0 , < 10.0.22000.2295
(custom)
|
guessed | |
| Microsoft | Windows 11 version 22H2 |
Affected:
10.0.22621.0 , < 10.0.22621.2134
(custom)
|
guessed | |
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.1906
(custom)
|
guessed |
Date Public
2023-08-08 07:00
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"platforms": [
"ARM64-based Systems",
"x64-based Systems"
],
"product": "Windows 11 version 22H2",
"vendor": "Microsoft",
"versions": [
{
"lessThan": "10.0.22621.2134",
"status": "affected",
"version": "10.0.22621.0",
"versionType": "custom"
}
]
},
{
"platforms": [
"x64-based Systems"
],
"product": "Windows Server 2022",
"vendor": "Microsoft",
"versions": [
{
"lessThan": "10.0.20348.1906",
"status": "affected",
"version": "10.0.20348.0",
"versionType": "custom"
}
]
}
],
"cpeApplicability": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:microsoft:windows_server_2022:*:*:*:*:*:*:*:*",
"versionEndExcluding": "10.0.20348.1906",
"versionStartIncluding": "10.0.20348.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:microsoft:windows_11_21H2:*:*:*:*:*:*:x64:*",
"versionEndExcluding": "10.0.22000.2295",
"versionStartIncluding": "10.0.22000.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:microsoft:windows_10_21H2:*:*:*:*:*:*:x86:*",
"versionEndExcluding": "10.0.19044.3324",
"versionStartIncluding": "10.0.19044.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:microsoft:windows_11_22H2:*:*:*:*:*:*:arm64:*",
"versionEndExcluding": "10.0.22621.2134",
"versionStartIncluding": "10.0.22621.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:microsoft:windows_10_22H2:*:*:*:*:*:*:x64:*",
"versionEndExcluding": "10.0.19045.3324",
"versionStartIncluding": "10.0.19045.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"datePublic": "2023-08-08T07:00:00.000Z",
"descriptions": [
{
"lang": "en-US",
"value": "Windows Smart Card Resource Management Server Security Feature Bypass Vulnerability"
}
],
"metrics": [
{
"cvssV3_1": {
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N/E:U/RL:O/RC:C",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en-US",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Security Feature Bypass",
"lang": "en-US",
"type": "Impact"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-10T15:11:32.365Z",
"orgId": "f38d906d-7342-40ea-92c1-6c4a2c6478c8",
"shortName": "microsoft"
},
"references": [
{
"name": "Windows Smart Card Resource Management Server Security Feature Bypass Vulnerability",
"tags": [
"vendor-advisory",
"patch"
],
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2023-36914"
}
],
"title": "Windows Smart Card Resource Management Server Security Feature Bypass Vulnerability"
}
},
"cveMetadata": {
"assignerOrgId": "f38d906d-7342-40ea-92c1-6c4a2c6478c8",
"assignerShortName": "microsoft",
"cveId": "CVE-2023-36914",
"datePublished": "2023-08-08T17:08:30.796Z",
"dateReserved": "2023-06-27T20:29:08.607Z",
"dateUpdated": "2026-08-10T15:11:32.365Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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