GSD-2022-28151
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A missing permission check in Jenkins Job and Node ownership Plugin 0.13.0 and earlier allows attackers with Item/Read permission to change the owners and item-specific permissions of a job.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-28151",
"description": "A missing permission check in Jenkins Job and Node ownership Plugin 0.13.0 and earlier allows attackers with Item/Read permission to change the owners and item-specific permissions of a job.",
"id": "GSD-2022-28151",
"references": [
"https://security.archlinux.org/CVE-2022-28151"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "A missing permission check in Jenkins Job and Node ownership Plugin 0.13.0 and earlier allows attackers with Item/Read permission to change the owners and item-specific permissions of a job.",
"id": "GSD-2022-28151",
"modified": "2023-12-13T01:19:34.080118Z",
"schema_version": "1.4.0"
}
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"affects": {
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"gitlab.com": {
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"cwe_ids": [
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"CWE-862",
"CWE-937"
],
"date": "2022-04-04",
"description": "A missing permission check in Jenkins Job and Node ownership Plugin 0.13.0 and earlier allows attackers with Item/Read permission to change the owners and item-specific permissions of a job.",
"fixed_versions": [],
"identifier": "CVE-2022-28151",
"identifiers": [
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"not_impacted": "",
"package_slug": "maven/com.synopsys.jenkinsci/ownership",
"pubdate": "2022-03-29",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Missing Authorization",
"urls": [
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"https://www.jenkins.io/security/advisory/2022-03-29/#SECURITY-2062%20(1)",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/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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"baseScore": 4.3,
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"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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}
},
"lastModifiedDate": "2023-11-03T02:34Z",
"publishedDate": "2022-03-29T13:15Z"
}
}
}
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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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