GSD-2020-9939
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
This issue was addressed with improved checks. This issue is fixed in macOS Catalina 10.15.6. A local user may be able to load unsigned kernel extensions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-9939",
"description": "This issue was addressed with improved checks. This issue is fixed in macOS Catalina 10.15.6. A local user may be able to load unsigned kernel extensions.",
"id": "GSD-2020-9939"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-9939"
],
"details": "This issue was addressed with improved checks. This issue is fixed in macOS Catalina 10.15.6. A local user may be able to load unsigned kernel extensions.",
"id": "GSD-2020-9939",
"modified": "2023-12-13T01:21:52.756888Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ID": "CVE-2020-9939",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "macOS",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_value": "macOS Catalina 10.15.6"
}
]
}
}
]
},
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}
]
}
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"description": {
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"value": "This issue was addressed with improved checks. This issue is fixed in macOS Catalina 10.15.6. A local user may be able to load unsigned kernel extensions."
}
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"problemtype": {
"problemtype_data": [
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"description": [
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"lang": "eng",
"value": "A local user may be able to load unsigned kernel extensions"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://support.apple.com/kb/HT211289",
"refsource": "MISC",
"url": "https://support.apple.com/kb/HT211289"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:o:apple:mac_os_x:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "10.15.6",
"vulnerable": true
}
],
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}
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"description": {
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},
"problemtype": {
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"references": {
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"refsource": "MISC",
"tags": [
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],
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}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.4,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 0.5,
"impactScore": 5.9
}
},
"lastModifiedDate": "2020-10-29T19:20Z",
"publishedDate": "2020-10-22T19:15Z"
}
}
}
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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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