FKIE_CVE-2018-10875
Vulnerability from fkie_nvd - Published: 2018-07-13 22:29 - Updated: 2026-06-17 01:34
Severity
Summary
A flaw was found in ansible. ansible.cfg is read from the current working directory which can be altered to make it point to a plugin or a module path under the control of an attacker, thus allowing the attacker to execute arbitrary code.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| redhat | ansible_engine | 2.0 | |
| redhat | ansible_engine | 2.4 | |
| redhat | ansible_engine | 2.5 | |
| redhat | ansible_engine | 2.6 | |
| redhat | ceph_storage | 2.0 | |
| redhat | ceph_storage | 3.0 | |
| redhat | gluster_storage | 3.0.0 | |
| redhat | openshift | 3.0 | |
| redhat | openstack | 10 | |
| redhat | openstack | 12 | |
| redhat | openstack | 13 | |
| redhat | virtualization | 4.0 | |
| redhat | virtualization_host | 4.0 | |
| debian | debian_linux | 9.0 | |
| suse | package_hub | - | |
| suse | suse_linux_enterprise_server | 12 | |
| canonical | ubuntu_linux | 16.04 | |
| canonical | ubuntu_linux | 18.04 | |
| canonical | ubuntu_linux | 19.04 | |
| debian | debian_linux | 8.0 |
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"vendor": "[UNKNOWN]",
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"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in ansible. ansible.cfg is read from the current working directory which can be altered to make it point to a plugin or a module path under the control of an attacker, thus allowing the attacker to execute arbitrary code."
},
{
"lang": "es",
"value": "Se ha encontrado un error en ansible. ansible.cfg se lee desde el directorio de trabajo actual, que puede alterarse para hacer que se\u00f1ale a un plugin o una ruta de m\u00f3dulo bajo el control de un atacante, permitiendo que el atacante ejecute c\u00f3digo arbitrario."
}
],
"id": "CVE-2018-10875",
"lastModified": "2026-06-17T01:34:49.023",
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"accessVector": "LOCAL",
"authentication": "NONE",
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"baseScore": 4.6,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"published": "2018-07-13T22:29:00.220",
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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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