FKIE_CVE-2018-16876
Vulnerability from fkie_nvd - Published: 2019-01-03 15:29 - Updated: 2026-06-17 01:44
Severity
Summary
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| redhat | ansible | * | |
| redhat | ansible | * | |
| redhat | ansible | * | |
| debian | debian_linux | 9.0 | |
| redhat | ansible_engine | 2.0 | |
| redhat | ansible_engine | 2.5 | |
| redhat | ansible_engine | 2.6 | |
| redhat | ansible_engine | 2.7 | |
| redhat | openstack | 14 | |
| redhat | enterprise_linux_desktop | 7.0 | |
| redhat | enterprise_linux_server | 7.0 | |
| redhat | enterprise_linux_workstation | 7.0 | |
| suse | package_hub | - | |
| suse | linux_enterprise | 12.0 | |
| canonical | ubuntu_linux | 16.04 | |
| canonical | ubuntu_linux | 18.04 | |
| canonical | ubuntu_linux | 19.04 |
{
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{
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"vendor": "Red Hat",
"versions": [
{
"status": "affected",
"version": "before 2.5.14"
},
{
"status": "affected",
"version": "before 2.6.11"
},
{
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"version": "before 2.7.5"
}
]
}
],
"source": "secalert@redhat.com"
}
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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."
},
{
"lang": "es",
"value": "ansible en versiones anteriores a las 2.5.14, 2.6.11 y 2.7.5 es vulnerable a un fallo de divulgaci\u00f3n de informaci\u00f3n en el modo vvv+ con \"no_log\" habilitado, el cual podr\u00eda provocar el filtrado de datos sensibles."
}
],
"id": "CVE-2018-16876",
"lastModified": "2026-06-17T01:44:58.297",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"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,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.1,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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},
"published": "2019-01-03T15:29:01.163",
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}
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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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