GSD-2015-6507
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The hdbsql client 1.00.091.00 Build 1418659308-1530 in SAP HANA allows local users to cause a denial of service (memory corruption) and possibly have unspecified other impact via unknown vectors, aka SAP Security Note 2140700.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-6507",
"description": "The hdbsql client 1.00.091.00 Build 1418659308-1530 in SAP HANA allows local users to cause a denial of service (memory corruption) and possibly have unspecified other impact via unknown vectors, aka SAP Security Note 2140700.",
"id": "GSD-2015-6507"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2015-6507",
"modified": "2023-12-13T01:20:04.283435Z",
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}
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"name": "http://packetstormsecurity.com/files/133760/SAP-HANA-hdbsql-Memory-Corruption.html",
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"url": "http://packetstormsecurity.com/files/133760/SAP-HANA-hdbsql-Memory-Corruption.html"
},
{
"name": "20150929 [Onapsis Security Advisory 2015-009] SAP HANA hdbsql Multiple Memory Corruption Vulnerabilities",
"refsource": "FULLDISC",
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},
{
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"name": "20150929 [Onapsis Security Advisory 2015-009] SAP HANA hdbsql Multiple Memory Corruption Vulnerabilities",
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"impact": {
"baseMetricV2": {
"acInsufInfo": true,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.2,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2015-10-16T15:02Z",
"publishedDate": "2015-10-15T20:59Z"
}
}
}
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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.
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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.
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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