GSD-2020-14376
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. A lack of bounds checking when copying iv_data from the VM guest memory into host memory can lead to a large buffer overflow. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-14376",
"description": "A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. A lack of bounds checking when copying iv_data from the VM guest memory into host memory can lead to a large buffer overflow. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.",
"id": "GSD-2020-14376",
"references": [
"https://www.suse.com/security/cve/CVE-2020-14376.html",
"https://ubuntu.com/security/CVE-2020-14376"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2020-14376",
"modified": "2023-12-13T01:22:00.259251Z",
"schema_version": "1.4.0"
}
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.9,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H",
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},
"lastModifiedDate": "2021-01-05T18:28Z",
"publishedDate": "2020-09-30T19:15Z"
}
}
}
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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 |
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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
model, served locally by ML-Gateway.
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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.
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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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