GSD-2021-46687
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
JFrog Artifactory prior to version 7.31.10 and 6.23.38 is vulnerable to Sensitive Data Exposure through the Project Administrator REST API. This issue affects: JFrog JFrog Artifactory JFrog Artifactory versions before 7.31.10 versions prior to 7.x; JFrog Artifactory versions before 6.23.38 versions prior to 6.x.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-46687",
"description": "JFrog Artifactory prior to version 7.31.10 and 6.23.38 is vulnerable to Sensitive Data Exposure through the Project Administrator REST API. This issue affects: JFrog JFrog Artifactory JFrog Artifactory versions before 7.31.10 versions prior to 7.x; JFrog Artifactory versions before 6.23.38 versions prior to 6.x.",
"id": "GSD-2021-46687"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "JFrog Artifactory prior to version 7.31.10 and 6.23.38 is vulnerable to Sensitive Data Exposure through the Project Administrator REST API. This issue affects: JFrog JFrog Artifactory JFrog Artifactory versions before 7.31.10 versions prior to 7.x; JFrog Artifactory versions before 6.23.38 versions prior to 6.x.",
"id": "GSD-2021-46687",
"modified": "2023-12-13T01:23:32.202617Z",
"schema_version": "1.4.0"
}
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
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"userInteraction": "NONE",
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"value": "CWE-359 Exposure of Private Information (\u0027Privacy Violation\u0027)"
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"name": "https://www.jfrog.com/confluence/display/JFROG/JFrog+Security+Advisories",
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"url": "https://www.jfrog.com/confluence/display/JFROG/JFrog+Security+Advisories"
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"authentication": "SINGLE",
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"version": "2.0"
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"exploitabilityScore": 8.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
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"exploitabilityScore": 1.2,
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},
"lastModifiedDate": "2022-07-13T14:30Z",
"publishedDate": "2022-07-06T10:15Z"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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 |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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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