GSD-2017-5372
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The function msp (aka MSPRuntimeInterface) in the P4 SERVERCORE component in SAP AS JAVA allows remote attackers to obtain sensitive system information by leveraging a missing authorization check for the (1) getInformation, (2) getParameters, (3) getServiceInfo, (4) getStatistic, or (5) getClientStatistic function, aka SAP Security Note 2331908.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-5372",
"description": "The function msp (aka MSPRuntimeInterface) in the P4 SERVERCORE component in SAP AS JAVA allows remote attackers to obtain sensitive system information by leveraging a missing authorization check for the (1) getInformation, (2) getParameters, (3) getServiceInfo, (4) getStatistic, or (5) getClientStatistic function, aka SAP Security Note 2331908.",
"id": "GSD-2017-5372"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"aliases": [
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"id": "GSD-2017-5372",
"modified": "2023-12-13T01:21:13.552116Z",
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"name": "https://erpscan.io/press-center/blog/sap-cyber-threat-intelligence-report-october-2016/",
"refsource": "MISC",
"url": "https://erpscan.io/press-center/blog/sap-cyber-threat-intelligence-report-october-2016/"
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{
"name": "20170119 [ERPSCAN-16-037] SAP NetWeaver AS JAVA P4 - INFORMATION DISCLOSURE",
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"name": "http://packetstormsecurity.com/files/140611/SAP-NetWeaver-AS-Java-P4-MSPRUNTIMEINTERFACE-Information-Disclosure.html",
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"impact": {
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
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"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2018-12-10T19:29Z",
"publishedDate": "2017-01-23T21:59Z"
}
}
}
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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
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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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