USN-3195-1 (UBUNTU-CVE-2017-5936)
Vulnerability from osv_ubuntu – Published: 2017-02-10 01:18 – Updated: 2026-02-10 04:41 – Source website
VLAI
Summary
nova-lxd vulnerability
Details
James Page discovered that Nova-LXD incorrectly set up virtual network devices when creating LXD instances. This could result in an unintended firewall configuration.
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"cves_map": {
"cves": [
{
"id": "CVE-2017-5936",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
]
}
],
"ecosystem": "Ubuntu:16.04:LTS"
}
},
"ecosystem_specific": {
"availability": "No subscription required",
"binaries": [
{
"binary_name": "nova-compute-lxd",
"binary_version": "13.2.0-0ubuntu1.16.04.1"
},
{
"binary_name": "python-nova-lxd",
"binary_version": "13.2.0-0ubuntu1.16.04.1"
},
{
"binary_name": "python-nova.lxd",
"binary_version": "13.2.0-0ubuntu1.16.04.1"
}
]
},
"package": {
"ecosystem": "Ubuntu:16.04:LTS",
"name": "nova-lxd",
"purl": "pkg:deb/ubuntu/nova-lxd@13.2.0-0ubuntu1.16.04.1?arch=source\u0026distro=xenial"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "13.2.0-0ubuntu1.16.04.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.18+git201512020918.146ccc8-0ubuntu1",
"0.19.0-0ubuntu1",
"13.0.0~b2-0ubuntu2",
"13.0.0~b3-0ubuntu1",
"13.0.0~b3-0ubuntu2",
"13.0.0-0ubuntu1",
"13.0.0-0ubuntu2",
"13.0.0-0ubuntu3",
"13.0.0-0ubuntu3.1",
"13.2.0-0ubuntu1"
]
}
],
"aliases": [],
"details": "James Page discovered that Nova-LXD incorrectly set up virtual network devices\nwhen creating LXD instances. This could result in an unintended firewall\nconfiguration.\n",
"id": "USN-3195-1",
"modified": "2026-02-10T04:41:05Z",
"published": "2017-02-10T01:18:25Z",
"references": [
{
"type": "ADVISORY",
"url": "https://ubuntu.com/security/notices/USN-3195-1"
},
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2017-5936"
},
{
"type": "REPORT",
"url": "https://launchpad.net/bugs/1656847"
}
],
"related": [],
"schema_version": "1.7.0",
"summary": "nova-lxd vulnerability",
"upstream": [
"UBUNTU-CVE-2017-5936"
]
}
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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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