GSD-2021-20228
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
A flaw was found in the Ansible Engine 2.9.18, where sensitive info is not masked by default and is not protected by the no_log feature when using the sub-option feature of the basic.py module. This flaw allows an attacker to obtain sensitive information. The highest threat from this vulnerability is to confidentiality.
Aliases
Aliases
{
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"alias": "CVE-2021-20228",
"description": "A flaw was found in the Ansible Engine 2.9.18, where sensitive info is not masked by default and is not protected by the no_log feature when using the sub-option feature of the basic.py module. This flaw allows an attacker to obtain sensitive information. The highest threat from this vulnerability is to confidentiality.",
"id": "GSD-2021-20228",
"references": [
"https://www.suse.com/security/cve/CVE-2021-20228.html",
"https://www.debian.org/security/2021/dsa-4950",
"https://access.redhat.com/errata/RHSA-2021:2180",
"https://access.redhat.com/errata/RHSA-2021:1079",
"https://access.redhat.com/errata/RHSA-2021:0664",
"https://access.redhat.com/errata/RHSA-2021:0663",
"https://advisories.mageia.org/CVE-2021-20228.html"
]
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"remediation": "unknown",
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"id": "GSD-2021-20228",
"modified": "2023-12-13T01:23:12.507348Z",
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"description": "A flaw was found in the Ansible Engine, where sensitive info is not masked by default and is not protected by the no_log feature when using the sub-option feature of the basic.py module. This flaw allows an attacker to obtain sensitive information. The highest threat from this vulnerability is to confidentiality.",
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"package_slug": "pypi/ansible",
"pubdate": "2021-04-29",
"solution": "Upgrade to versions 2.0.0.1, 2.9.1, 2.9.19 or above.",
"title": "Information Exposure",
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"impact": {
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"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
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"lastModifiedDate": "2022-08-05T16:23Z",
"publishedDate": "2021-04-29T16:15Z"
}
}
}
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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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