GSD-2018-15764
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Dell EMC ESRS Policy Manager versions 6.8 and prior contain a remote code execution vulnerability due to improper configurations of triggered JMX services. A remote unauthenticated attacker may potentially exploit this vulnerability to execute arbitrary code in the server's JVM.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-15764",
"description": "Dell EMC ESRS Policy Manager versions 6.8 and prior contain a remote code execution vulnerability due to improper configurations of triggered JMX services. A remote unauthenticated attacker may potentially exploit this vulnerability to execute arbitrary code in the server\u0027s JVM.",
"id": "GSD-2018-15764"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Dell EMC ESRS Policy Manager versions 6.8 and prior contain a remote code execution vulnerability due to improper configurations of triggered JMX services. A remote unauthenticated attacker may potentially exploit this vulnerability to execute arbitrary code in the server\u0027s JVM.",
"id": "GSD-2018-15764",
"modified": "2023-12-13T01:22:23.589919Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
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"version": {
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{
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}
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"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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"source": {
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"severity": "HIGH",
"userInteractionRequired": false
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"availabilityImpact": "HIGH",
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"confidentialityImpact": "HIGH",
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"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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"exploitabilityScore": 3.9,
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}
},
"lastModifiedDate": "2019-10-09T23:35Z",
"publishedDate": "2018-09-28T18:29Z"
}
}
}
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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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