GSD-2016-7071
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
It was found that the CloudForms before 5.6.2.2, and 5.7.0.7 did not properly apply permissions controls to VM IDs passed by users. A remote, authenticated attacker could use this flaw to execute arbitrary VMs on systems managed by CloudForms if they know the ID of the VM.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-7071",
"description": "It was found that the CloudForms before 5.6.2.2, and 5.7.0.7 did not properly apply permissions controls to VM IDs passed by users. A remote, authenticated attacker could use this flaw to execute arbitrary VMs on systems managed by CloudForms if they know the ID of the VM.",
"id": "GSD-2016-7071",
"references": [
"https://access.redhat.com/errata/RHSA-2016:2091"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-7071"
],
"details": "It was found that the CloudForms before 5.6.2.2, and 5.7.0.7 did not properly apply permissions controls to VM IDs passed by users. A remote, authenticated attacker could use this flaw to execute arbitrary VMs on systems managed by CloudForms if they know the ID of the VM.",
"id": "GSD-2016-7071",
"modified": "2023-12-13T01:21:20.851270Z",
"schema_version": "1.4.0"
}
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}
]
},
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"impact": {
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
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"impactScore": 10.0,
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"severity": "HIGH",
"userInteractionRequired": false
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"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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"exploitabilityScore": 2.8,
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},
"lastModifiedDate": "2019-10-09T23:19Z",
"publishedDate": "2018-09-10T15:29Z"
}
}
}
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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 |
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Nomenclature
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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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