GSD-2022-21797
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The package joblib from 0 and before 1.2.0 are vulnerable to Arbitrary Code Execution via the pre_dispatch flag in Parallel() class due to the eval() statement.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-21797",
"description": "The package joblib from 0 and before 1.2.0 are vulnerable to Arbitrary Code Execution via the pre_dispatch flag in Parallel() class due to the eval() statement.",
"id": "GSD-2022-21797",
"references": [
"https://advisories.mageia.org/CVE-2022-21797.html",
"https://www.suse.com/security/cve/CVE-2022-21797.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "The package joblib from 0 and before 1.2.0 are vulnerable to Arbitrary Code Execution via the pre_dispatch flag in Parallel() class due to the eval() statement.",
"id": "GSD-2022-21797",
"modified": "2023-12-13T01:19:14.866914Z",
"schema_version": "1.4.0"
}
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"TITLE": "Arbitrary Code Execution"
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"value": "Jim Lin"
}
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"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P",
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"name": "https://security.snyk.io/vuln/SNYK-PYTHON-JOBLIB-3027033",
"refsource": "MISC",
"url": "https://security.snyk.io/vuln/SNYK-PYTHON-JOBLIB-3027033"
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"refsource": "MISC",
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},
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},
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},
{
"name": "[debian-lts-announce] 20221117 [SECURITY] [DLA 3193-1] joblib security update",
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"name": "[debian-lts-announce] 20230330 [SECURITY] [DLA 3193-2] joblib security update",
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"url": "https://lists.debian.org/debian-lts-announce/2023/03/msg00027.html"
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{
"name": "GLSA-202401-01",
"refsource": "GENTOO",
"url": "https://security.gentoo.org/glsa/202401-01"
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c1.1.1",
"affected_versions": "All versions before 1.1.1",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2023-04-20",
"description": "The package joblib before version 1.2.0 is vulnerable to Arbitrary Code Execution via the pre_dispatch flag in Parallel() class due to the eval() statement.",
"fixed_versions": [
"1.1.1"
],
"identifier": "CVE-2022-21797",
"identifiers": [
"CVE-2022-21797"
],
"not_impacted": "All versions starting from 1.1.1",
"package_slug": "pypi/joblib",
"pubdate": "2022-09-26",
"solution": "Upgrade to version 1.1.1 or above.",
"title": "Improper Control of Generation of Code",
"urls": [
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"https://github.com/joblib/joblib/commit/b90f10efeb670a2cc877fb88ebb3f2019189e059",
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"https://github.com/joblib/joblib/pull/1321",
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],
"uuid": "2760d710-a978-4247-a054-fb56f3fa9ea8"
}
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},
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"value": "The package joblib from 0 and before 1.2.0 are vulnerable to Arbitrary Code Execution via the pre_dispatch flag in Parallel() class due to the eval() statement."
},
{
"lang": "es",
"value": "El paquete joblib versiones a partir de 0 anteriores a 1.2.0, son vulnerables a una Ejecuci\u00f3n de C\u00f3digo Arbitraria por medio del flag pre_dispatch en la clase Parallel() debido a la sentencia eval().\n"
}
],
"id": "CVE-2022-21797",
"lastModified": "2024-01-02T16:15:11.413",
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"published": "2022-09-26T05:15:10.427",
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}
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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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