GSD-2018-15316
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
In F5 BIG-IP APM 13.0.0-13.1.1.1, APM Client 7.1.5-7.1.6, and/or Edge Client 7101-7160, the BIG-IP APM Edge Client component loads the policy library with user permission and bypassing the endpoint checks.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-15316",
"description": "In F5 BIG-IP APM 13.0.0-13.1.1.1, APM Client 7.1.5-7.1.6, and/or Edge Client 7101-7160, the BIG-IP APM Edge Client component loads the policy library with user permission and bypassing the endpoint checks.",
"id": "GSD-2018-15316"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-15316"
],
"details": "In F5 BIG-IP APM 13.0.0-13.1.1.1, APM Client 7.1.5-7.1.6, and/or Edge Client 7101-7160, the BIG-IP APM Edge Client component loads the policy library with user permission and bypassing the endpoint checks.",
"id": "GSD-2018-15316",
"modified": "2023-12-13T01:22:23.550567Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"DATE_PUBLIC": "2018-10-17T00:00:00",
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"STATE": "PUBLIC"
},
"affects": {
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}
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"vendor_name": "F5 Networks, Inc."
}
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}
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"refsource": "CONFIRM",
"url": "https://support.f5.com/csp/article/K51220077"
}
]
}
},
"nvd.nist.gov": {
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"cpe_name": [],
"versionEndIncluding": "13.1.1.1",
"versionStartIncluding": "13.0.0",
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{
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2018-10-19T13:29Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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
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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.
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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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