GSD-2018-12196
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Insufficient input validation in Intel(R) AMT in Intel(R) CSME before version 11.8.60, 11.11.60, 11.22.60 or 12.0.20 may allow a privileged user to potentially execute arbitrary code via local access.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-12196",
"description": "Insufficient input validation in Intel(R) AMT in Intel(R) CSME before version 11.8.60, 11.11.60, 11.22.60 or 12.0.20 may allow a privileged user to potentially execute arbitrary code via local access.",
"id": "GSD-2018-12196"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-12196"
],
"details": "Insufficient input validation in Intel(R) AMT in Intel(R) CSME before version 11.8.60, 11.11.60, 11.22.60 or 12.0.20 may allow a privileged user to potentially execute arbitrary code via local access.",
"id": "GSD-2018-12196",
"modified": "2023-12-13T01:22:30.615084Z",
"schema_version": "1.4.0"
}
},
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"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "Intel(R) CSME, Server Platform Services, Trusted Execution Engine and Intel(R) Active Management Technology",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"baseScore": 6.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
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"exploitabilityScore": 0.8,
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},
"lastModifiedDate": "2019-04-23T14:21Z",
"publishedDate": "2019-03-14T20:29Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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