GSD-2019-18806
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
A memory leak in the ql_alloc_large_buffers() function in drivers/net/ethernet/qlogic/qla3xxx.c in the Linux kernel before 5.3.5 allows local users to cause a denial of service (memory consumption) by triggering pci_dma_mapping_error() failures, aka CID-1acb8f2a7a9f.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-18806",
"description": "A memory leak in the ql_alloc_large_buffers() function in drivers/net/ethernet/qlogic/qla3xxx.c in the Linux kernel before 5.3.5 allows local users to cause a denial of service (memory consumption) by triggering pci_dma_mapping_error() failures, aka CID-1acb8f2a7a9f.",
"id": "GSD-2019-18806",
"references": [
"https://linux.oracle.com/cve/CVE-2019-18806.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2019-18806",
"modified": "2023-12-13T01:23:50.290279Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"name": "https://git.kernel.org/cgit/linux/kernel/git/torvalds/linux.git/commit/?id=1acb8f2a7a9f10543868ddd737e37424d5c36cf4",
"refsource": "MISC",
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{
"name": "https://cdn.kernel.org/pub/linux/kernel/v5.x/ChangeLog-5.3.5",
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"versionEndExcluding": "5.3.5",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
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"attackVector": "LOCAL",
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"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2020-08-24T17:37Z",
"publishedDate": "2019-11-07T16:15Z"
}
}
}
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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.
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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