GSD-2018-16876
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
ansible before versions 2.5.14, 2.6.11, 2.7.5 is vulnerable to a information disclosure flaw in vvv+ mode with no_log on that can lead to leakage of sensible data.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-16876",
"description": "ansible before versions 2.5.14, 2.6.11, 2.7.5 is vulnerable to a information disclosure flaw in vvv+ mode with no_log on that can lead to leakage of sensible data.",
"id": "GSD-2018-16876",
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"https://www.debian.org/security/2019/dsa-4396",
"https://access.redhat.com/errata/RHSA-2019:0590",
"https://access.redhat.com/errata/RHSA-2019:0564",
"https://access.redhat.com/errata/RHSA-2018:3838",
"https://access.redhat.com/errata/RHSA-2018:3837",
"https://access.redhat.com/errata/RHSA-2018:3836",
"https://access.redhat.com/errata/RHSA-2018:3835",
"https://ubuntu.com/security/CVE-2018-16876",
"https://advisories.mageia.org/CVE-2018-16876.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
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"id": "GSD-2018-16876",
"modified": "2023-12-13T01:22:26.408829Z",
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[
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{
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},
{
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},
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},
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.5.14 || \u003e=2.6.0.dev0, \u003c2.6.11 || \u003e=2.7.0.dev0, \u003c2.7.5",
"affected_versions": "All versions before 2.5.14, all versions starting from 2.6.0.dev0 before 2.6.11, all versions starting from 2.7.0.dev0 before 2.7.5",
"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-200",
"CWE-937"
],
"date": "2019-06-27",
"description": "ansible is vulnerable to an information disclosure flaw in vvv+ mode with no_log on that can lead to leakage of sensible data.",
"fixed_versions": [
"2.5.14",
"2.6.11",
"2.7.5"
],
"identifier": "CVE-2018-16876",
"identifiers": [
"CVE-2018-16876"
],
"package_slug": "pypi/ansible",
"pubdate": "2019-01-03",
"solution": "Upgrade to fixed version.",
"title": "Information Exposure",
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"uuid": "6a4542fc-7a40-4981-879b-0555dfa6db9c"
}
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"impact": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:S/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 1.6,
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}
},
"lastModifiedDate": "2021-08-04T17:15Z",
"publishedDate": "2019-01-03T15:29Z"
}
}
}
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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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