GSD-2019-16919
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Harbor API has a Broken Access Control vulnerability. The vulnerability allows project administrators to use the Harbor API to create a robot account with unauthorized push and/or pull access permissions to a project they don't have access or control for. The Harbor API did not enforce the proper project permissions and project scope on the API request to create a new robot account.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-16919",
"description": "Harbor API has a Broken Access Control vulnerability. The vulnerability allows project administrators to use the Harbor API to create a robot account with unauthorized push and/or pull access permissions to a project they don\u0027t have access or control for. The Harbor API did not enforce the proper project permissions and project scope on the API request to create a new robot account.",
"id": "GSD-2019-16919"
},
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"remediation": "unknown",
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"id": "GSD-2019-16919",
"modified": "2023-12-13T01:23:40.375258Z",
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"cwe_ids": [
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"CWE-937"
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"date": "2019-10-24",
"description": "Harbor API has a Broken Access Control vulnerability. The vulnerability allows project administrators to use the Harbor API to create a robot account with unauthorized push and/or pull access permissions to a project they don\u0027t have access or control for. The Harbor API did not enforce the proper project permissions and project scope on the API request to create a new robot account.",
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"package_slug": "go/github.com/goharbor/harbor",
"pubdate": "2019-10-18",
"solution": "Upgrade to versions 1.8.4, 1.9.1 or above.",
"title": "Incorrect Default Permissions",
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
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"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
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},
"lastModifiedDate": "2020-04-01T15:05Z",
"publishedDate": "2019-10-18T12:15Z"
}
}
}
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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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