GSD-2022-39286
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Jupyter Core is a package for the core common functionality of Jupyter projects. Jupyter Core prior to version 4.11.2 contains an arbitrary code execution vulnerability in `jupyter_core` that stems from `jupyter_core` executing untrusted files in CWD. This vulnerability allows one user to run code as another. Version 4.11.2 contains a patch for this issue. There are no known workarounds.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-39286",
"description": "Jupyter Core is a package for the core common functionality of Jupyter projects. Jupyter Core prior to version 4.11.2 contains an arbitrary code execution vulnerability in `jupyter_core` that stems from `jupyter_core` executing untrusted files in CWD. This vulnerability allows one user to run code as another. Version 4.11.2 contains a patch for this issue. There are no known workarounds.",
"id": "GSD-2022-39286",
"references": [
"https://advisories.mageia.org/CVE-2022-39286.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2022-39286",
"modified": "2023-12-13T01:19:20.426528Z",
"schema_version": "1.4.0"
}
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"affects": {
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}
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},
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"baseScore": 8.8,
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}
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"discovery": "UNKNOWN"
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"affected_range": "\u003c4.11.2",
"affected_versions": "All versions before 4.11.2",
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"cwe_ids": [
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"CWE-427",
"CWE-937"
],
"date": "2023-07-14",
"description": "Jupyter Core is a package for the core common functionality of Jupyter projects. Jupyter Core prior to version 4.11.2 contains an arbitrary code execution vulnerability in `jupyter_core` that stems from `jupyter_core` executing untrusted files in CWD. This vulnerability allows one user to run code as another. Version 4.11.2 contains a patch for this issue. There are no known workarounds.",
"fixed_versions": [
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],
"identifier": "CVE-2022-39286",
"identifiers": [
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"GHSA-m678-f26j-3hrp"
],
"not_impacted": "All versions starting from 4.11.2",
"package_slug": "pypi/jupyter-core",
"pubdate": "2022-10-26",
"solution": "Upgrade to version 4.11.2 or above.",
"title": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
"urls": [
"https://github.com/jupyter/jupyter_core/security/advisories/GHSA-m678-f26j-3hrp",
"https://github.com/advisories/GHSA-m678-f26j-3hrp"
],
"uuid": "f4b7ffde-fe55-4d37-b4c9-1e1d8bf7c274"
}
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"lastModifiedDate": "2023-07-14T18:59Z",
"publishedDate": "2022-10-26T20:15Z"
}
}
}
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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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