GSD-2019-12397
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Policy import functionality in Apache Ranger 0.7.0 to 1.2.0 is vulnerable to a cross-site scripting issue. Upgrade to 2.0.0 or later version of Apache Ranger with the fix.
Aliases
Aliases
{
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"alias": "CVE-2019-12397",
"description": "Policy import functionality in Apache Ranger 0.7.0 to 1.2.0 is vulnerable to a cross-site scripting issue. Upgrade to 2.0.0 or later version of Apache Ranger with the fix.",
"id": "GSD-2019-12397"
},
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"id": "GSD-2019-12397",
"modified": "2023-12-13T01:23:43.885806Z",
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"advisories": [
{
"affected_range": "[0.7.0,1.2.0]",
"affected_versions": "All versions starting from 0.7.0 up to 1.2.0",
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"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2021-08-17",
"description": "Policy import functionality in Apache Ranger 0.7.0 to 1.2.0 is vulnerable to a cross-site scripting issue. Upgrade to 2.0.0 or later version of Apache Ranger with the fix.",
"fixed_versions": [
"2.0.0"
],
"identifier": "CVE-2019-12397",
"identifiers": [
"GHSA-fpqp-v323-44xv",
"CVE-2019-12397"
],
"not_impacted": "All versions before 0.7.0, all versions after 1.2.0",
"package_slug": "maven/org.apache.ranger/ranger",
"pubdate": "2019-08-16",
"solution": "Upgrade to version 2.0.0 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
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"uuid": "289e73b1-c00d-4b3c-90a5-7ba7c747059d"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.0"
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"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2019-12-30T06:15Z",
"publishedDate": "2019-08-08T18:15Z"
}
}
}
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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
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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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