GSD-2019-20426
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
In the Lustre file system before 2.12.3, the ptlrpc module has an out-of-bounds access and panic due to the lack of validation for specific fields of packets sent by a client. In the function ldlm_cancel_hpreq_check, there is no lock_count bounds check.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-20426",
"description": "In the Lustre file system before 2.12.3, the ptlrpc module has an out-of-bounds access and panic due to the lack of validation for specific fields of packets sent by a client. In the function ldlm_cancel_hpreq_check, there is no lock_count bounds check.",
"id": "GSD-2019-20426"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2019-20426",
"modified": "2023-12-13T01:23:43.350658Z",
"schema_version": "1.4.0"
}
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"name": "http://wiki.lustre.org/Lustre_2.12.3_Changelog",
"refsource": "MISC",
"url": "http://wiki.lustre.org/Lustre_2.12.3_Changelog"
},
{
"name": "http://lustre.org/",
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"url": "http://lustre.org/"
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2020-08-24T17:37Z",
"publishedDate": "2020-01-27T05:15Z"
}
}
}
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Sightings
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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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