FKIE_CVE-2017-7549
Vulnerability from fkie_nvd - Published: 2017-09-21 21:29 - Updated: 2026-06-17 01:24
Severity
Summary
A flaw was found in instack-undercloud 7.2.0 as packaged in Red Hat OpenStack Platform Pike, 6.1.0 as packaged in Red Hat OpenStack Platform Oacta, 5.3.0 as packaged in Red Hat OpenStack Newton, where pre-install and security policy scripts used insecure temporary files. A local user could exploit this flaw to conduct a symbolic-link attack, allowing them to overwrite the contents of arbitrary files.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| openstack | instack-undercloud | 7.2.0 | |
| redhat | openstack | 12 | |
| openstack | instack-undercloud | 6.1.0 | |
| redhat | openstack | 11 | |
| openstack | instack-undercloud | 5.3.0 | |
| redhat | openstack | 10 |
{
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{
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{
"product": "instack-undercloud",
"vendor": "Red Hat, Inc.",
"versions": [
{
"status": "affected",
"version": "Pike, 12: v7.2.0, Ocata, 11: v6.1.0, Newton, 10: v5.3.0"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
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"value": "A flaw was found in instack-undercloud 7.2.0 as packaged in Red Hat OpenStack Platform Pike, 6.1.0 as packaged in Red Hat OpenStack Platform Oacta, 5.3.0 as packaged in Red Hat OpenStack Newton, where pre-install and security policy scripts used insecure temporary files. A local user could exploit this flaw to conduct a symbolic-link attack, allowing them to overwrite the contents of arbitrary files."
},
{
"lang": "es",
"value": "Se ha encontrado un error en la versi\u00f3n 7.2.0 de instack-undercloud tal y como viene incorporado en Red Hat OpenStack Platform Pike; la versi\u00f3n 6.1.0 en Red Hat OpenStack Platform Oacta y la versi\u00f3n 5.3.0 en Red Hat OpenStack Newton, en donde los scripts de preinstalaci\u00f3n y pol\u00edticas de seguridad emplearon archivos temporales no seguros. Un usuario local podr\u00eda explotar esta vulnerabilidad para llevar a cabo un ataque de enlace simb\u00f3lico que les permita sobrescribir el contenido de archivos arbitrarios."
}
],
"id": "CVE-2017-7549",
"lastModified": "2026-06-17T01:24:35.360",
"metrics": {
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{
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"baseSeverity": "LOW",
"cvssData": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 3.3,
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"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"source": "nvd@nist.gov",
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"baseScore": 6.4,
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"confidentialityImpact": "HIGH",
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"vectorString": "CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:C/C:H/I:L/A:N",
"version": "3.0"
},
"exploitabilityScore": 1.1,
"impactScore": 4.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-09-21T21:29:00.447",
"references": [
{
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"tags": [
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],
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-377"
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],
"source": "secalert@redhat.com",
"type": "Secondary"
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{
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"value": "CWE-59"
}
],
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
}
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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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