GSD-2019-4699
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
IBM Security Guardium Data Encryption (GDE) 3.0.0.2 generates an error message that includes sensitive information about its environment, users, or associated data. IBM X-Force ID: 171931.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-4699",
"description": "IBM Security Guardium Data Encryption (GDE) 3.0.0.2 generates an error message that includes sensitive information about its environment, users, or associated data. IBM X-Force ID: 171931.",
"id": "GSD-2019-4699"
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2019-4699",
"modified": "2023-12-13T01:23:41.858837Z",
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}
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},
"affects": {
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{
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"version": {
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}
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"AC": "L",
"AV": "N",
"C": "L",
"I": "N",
"PR": "H",
"S": "U",
"SCORE": "2.700",
"UI": "N"
},
"TM": {
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"RC": "C",
"RL": "O"
}
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"problemtype": {
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"value": "Obtain Information"
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"references": {
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"name": "https://www.ibm.com/support/pages/node/6320835",
"refsource": "CONFIRM",
"title": "IBM Security Bulletin 6320835 (Security Guardium Data Encryption)",
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},
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}
]
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},
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"nodes": [
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"cpe_match": [
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"cpe_name": [],
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{
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"versionEndExcluding": "1.7.0",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
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"baseScore": 2.7,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 1.2,
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}
},
"lastModifiedDate": "2020-08-27T12:49Z",
"publishedDate": "2020-08-26T19:15Z"
}
}
}
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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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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