CVE-2021-4178 (GCVE-0-2021-4178)
Vulnerability from cvelistv5 – Published: 2022-08-24 15:02 – Updated: 2024-08-03 17:16
VLAI
EPSS
VEX
Summary
A arbitrary code execution flaw was found in the Fabric 8 Kubernetes client affecting versions 5.0.0-beta-1 and above. Due to an improperly configured YAML parsing, this will allow a local and privileged attacker to supply malicious YAML.
Severity
6.7 (Medium)
CWE
- CWE-502 - - Deserialization of Untrusted Data
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=2034388 | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2021-4178 | x_refsource_MISC |
| https://github.com/advisories/GHSA-98g7-rxmf-rrxm | x_refsource_MISC |
| https://github.com/fabric8io/kubernetes-client/is… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | kubernetes-client |
Affected:
Affects 5.x versions, Fixed in kubernetes-client v5.0.3 and above.
|
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"lang": "en",
"value": "CWE-502"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-08-04T21:36:54+00:00",
"cve": "CVE-2021-4178",
"id": "CVE-2021-4178",
"initial_release_date": "2021-01-01T00:00:00+00:00",
"product_status:fixed": "8",
"product_status:known_affected": "7",
"product_status:known_not_affected": "3",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kubernetes-client: Insecure deserialization in unmarshalYaml method",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-4178.json",
"version": "3"
}
}
}
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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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