GSD-2022-43757
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A Cleartext Storage of Sensitive Information vulnerability in SUSE Rancher allows users on managed clusters to gain access to credentials. The impact depends on the credentials exposed This issue affects: SUSE Rancher Rancher versions prior to 2.5.17; Rancher versions prior to 2.6.10; Rancher versions prior to 2.7.1.
Aliases
Aliases
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"alias": "CVE-2022-43757",
"id": "GSD-2022-43757",
"references": [
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"modified": "2023-12-13T01:19:31.592227Z",
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"affected_range": "\u003e=v2.5.0 \u003cv2.5.17 || \u003e=v2.6.0 \u003cv2.6.10 || \u003e=v2.7.0 \u003cv2.7.1",
"affected_versions": "All versions starting from 2.5.0 before 2.5.17, all versions starting from 2.6.0 before 2.6.10, all versions starting from 2.7.0 before 2.7.1",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2023-01-25",
"description": "This issue affects Rancher versions from 2.5.0 up to and including 2.5.16, from 2.6.0 up to and including 2.6.9 and 2.7.0. It was discovered that the security advisory CVE-2021-36782 (GHSA-g7j7-h4q8-8w2f), previously released by Rancher, missed addressing some sensitive fields, secret tokens, encryption keys, and SSH keys that were still being stored in plaintext directly on Kubernetes objects like `Clusters`.",
"fixed_versions": [
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"identifier": "GMS-2023-142",
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"not_impacted": "All versions before 2.5.0, all versions starting from 2.5.17 before 2.6.0, all versions starting from 2.6.10 before 2.7.0, all versions starting from 2.7.1",
"package_slug": "go/github.com/rancher/rancher",
"pubdate": "2023-01-25",
"solution": "Upgrade to versions 2.5.17, 2.6.10, 2.7.1 or above.",
"title": "Plaintext storage of sensitive data in Rancher API and cluster.management.cattle.io objects",
"urls": [
"https://github.com/rancher/rancher/security/advisories/GHSA-cq4p-vp5q-4522",
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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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