GSD-2019-14846
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
In Ansible, all Ansible Engine versions up to ansible-engine 2.8.5, ansible-engine 2.7.13, ansible-engine 2.6.19, were logging at the DEBUG level which lead to a disclosure of credentials if a plugin used a library that logged credentials at the DEBUG level. This flaw does not affect Ansible modules, as those are executed in a separate process.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-14846",
"description": "In Ansible, all Ansible Engine versions up to ansible-engine 2.8.5, ansible-engine 2.7.13, ansible-engine 2.6.19, were logging at the DEBUG level which lead to a disclosure of credentials if a plugin used a library that logged credentials at the DEBUG level. This flaw does not affect Ansible modules, as those are executed in a separate process.",
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"https://advisories.mageia.org/CVE-2019-14846.html"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-117",
"CWE-532",
"CWE-937"
],
"date": "2023-07-17",
"description": "In Ansible, all Ansible Engine versions up to ansible-engine 2.8.5, ansible-engine 2.7.13, ansible-engine 2.6.19, were logging at the DEBUG level which lead to a disclosure of credentials if a plugin used a library that logged credentials at the DEBUG level. This flaw does not affect Ansible modules, as those are executed in a separate process.",
"fixed_versions": [
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],
"identifier": "CVE-2019-14846",
"identifiers": [
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"CVE-2019-14846"
],
"not_impacted": "All versions starting from 2.8.6",
"package_slug": "pypi/ansible-core",
"pubdate": "2022-05-24",
"solution": "Upgrade to version 2.8.6 or above.",
"title": "Improper Output Neutralization for Logs",
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"https://github.com/ansible/ansible/pull/63366",
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"https://access.redhat.com/errata/RHSA-2019:3202",
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"http://lists.opensuse.org/opensuse-security-announce/2020-04/msg00021.html",
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"cwe_ids": [
"CWE-1035",
"CWE-117",
"CWE-532",
"CWE-937"
],
"date": "2019-10-21",
"description": "Ansible is logging at the DEBUG level which lead to a disclosure of credentials if a plugin used a library that logged credentials at the DEBUG level. This flaw does not affect Ansible modules, as those are executed in a separate process.",
"fixed_versions": [
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],
"identifier": "CVE-2019-14846",
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"package_slug": "pypi/ansible",
"pubdate": "2019-10-08",
"solution": "Upgrade to version 2.8.6 or above.",
"title": "Inclusion of Sensitive Information in Log Files",
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"impact": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
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"integrityImpact": "NONE",
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"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
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"baseScore": 7.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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},
"lastModifiedDate": "2022-04-22T19:56Z",
"publishedDate": "2019-10-08T19:15Z"
}
}
}
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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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