GSD-2021-38971
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
IBM Data Virtualization on Cloud Pak for Data 1.3.0, 1.4.1, 1.5.0, 1.7.1 and 1.7.3 could allow an authorized user to bypass data masking rules and obtain sensitve information. IBM X-Force ID: 212620.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-38971",
"description": "IBM Data Virtualization on Cloud Pak for Data 1.3.0, 1.4.1, 1.5.0, 1.7.1 and 1.7.3 could allow an authorized user to bypass data masking rules and obtain sensitve information. IBM X-Force ID: 212620.",
"id": "GSD-2021-38971"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-38971"
],
"details": "IBM Data Virtualization on Cloud Pak for Data 1.3.0, 1.4.1, 1.5.0, 1.7.1 and 1.7.3 could allow an authorized user to bypass data masking rules and obtain sensitve information. IBM X-Force ID: 212620.",
"id": "GSD-2021-38971",
"modified": "2023-12-13T01:23:17.844032Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"DATE_PUBLIC": "2022-03-11T00:00:00",
"ID": "CVE-2021-38971",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
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{
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"version": {
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},
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}
]
},
"impact": {
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"BM": {
"A": "N",
"AC": "L",
"AV": "N",
"C": "H",
"I": "N",
"PR": "H",
"S": "U",
"SCORE": "4.900",
"UI": "N"
},
"TM": {
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"RC": "C",
"RL": "O"
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"problemtype": {
"problemtype_data": [
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"value": "Obtain Information"
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]
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]
},
"references": {
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"name": "https://www.ibm.com/support/pages/node/6551076",
"refsource": "CONFIRM",
"title": "IBM Security Bulletin 6551076 (Data Virtualization on Cloud Pak for Data)",
"url": "https://www.ibm.com/support/pages/node/6551076"
},
{
"name": "ibm-cp-cve202138971-info-disc (212620)",
"refsource": "XF",
"title": "X-Force Vulnerability Report",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/212620"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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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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"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:ibm:data_virtualization_on_cloud_pak_for_data:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "1.7.3",
"versionStartIncluding": "1.7.1",
"vulnerable": true
},
{
"cpe23Uri": "cpe:2.3:a:ibm:data_virtualization_on_cloud_pak_for_data:1.3.0:*:*:*:*:*:*:*",
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}
]
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"references": {
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"tags": [
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},
{
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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
},
"baseMetricV3": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-03-22T12:01Z",
"publishedDate": "2022-03-14T17:15Z"
}
}
}
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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.
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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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