GSD-2022-0485
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A flaw was found in the copying tool `nbdcopy` of libnbd. When performing multi-threaded copies using asynchronous nbd calls, nbdcopy was blindly treating the completion of an asynchronous command as successful, rather than checking the *error parameter. This could result in the silent creation of a corrupted destination image.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-0485",
"description": "A flaw was found in the copying tool `nbdcopy` of libnbd. When performing multi-threaded copies using asynchronous nbd calls, nbdcopy was blindly treating the completion of an asynchronous command as successful, rather than checking the *error parameter. This could result in the silent creation of a corrupted destination image.",
"id": "GSD-2022-0485",
"references": [
"https://www.suse.com/security/cve/CVE-2022-0485.html",
"https://access.redhat.com/errata/RHSA-2022:0949",
"https://access.redhat.com/errata/RHSA-2022:0971",
"https://linux.oracle.com/cve/CVE-2022-0485.html",
"https://access.redhat.com/errata/RHSA-2022:1759",
"https://access.redhat.com/errata/RHSA-2022:2181"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2022-0485",
"modified": "2023-12-13T01:19:11.106063Z",
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 2.5
}
},
"lastModifiedDate": "2022-12-01T15:15Z",
"publishedDate": "2022-08-29T15:15Z"
}
}
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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