FKIE_CVE-2017-7543
Vulnerability from fkie_nvd - Published: 2018-07-26 14:29 - Updated: 2026-06-17 01:24
Severity
5.3 (Medium) - CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N
5.9 (Medium) - CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
5.9 (Medium) - CVSS:3.0/
Summary
A race-condition flaw was discovered in openstack-neutron before 7.2.0-12.1, 8.x before 8.3.0-11.1, 9.x before 9.3.1-2.1, and 10.x before 10.0.2-1.1, where, following a minor overcloud update, neutron security groups were disabled. Specifically, the following were reset to 0: net.bridge.bridge-nf-call-ip6tables and net.bridge.bridge-nf-call-iptables. The race was only triggered by an update, at which point an attacker could access exposed tenant VMs and network resources.
References
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"value": "A race-condition flaw was discovered in openstack-neutron before 7.2.0-12.1, 8.x before 8.3.0-11.1, 9.x before 9.3.1-2.1, and 10.x before 10.0.2-1.1, where, following a minor overcloud update, neutron security groups were disabled. Specifically, the following were reset to 0: net.bridge.bridge-nf-call-ip6tables and net.bridge.bridge-nf-call-iptables. The race was only triggered by an update, at which point an attacker could access exposed tenant VMs and network resources."
},
{
"lang": "es",
"value": "Se ha descubierto una condici\u00f3n de carrera en openstack-neutron en versiones anteriores a la 7.2.0-12.1, 8.x anteriores a la 8.3.0-11.1, 9.x anteriores a la 9.3.1-2.1 y 10.x anteriores a la 10.0.2-1.1, cuando, siguiendo a una actualizaci\u00f3n overcloud menor, los grupos de seguridad neutron estaban deshabilitados. De manera espec\u00edfica, lo siguiente se ha reiniciado a 0: net.bridge.bridge-nf-call-ip6tables y net.bridge.bridge-nf-call-iptables. La carrera solo se desencaden\u00f3 con una actualizaci\u00f3n, en cuyo momento un atacante pod\u00eda acceder a las m\u00e1quinas virtuales de los inquilinos y a los recursos de red expuestos."
}
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"id": "CVE-2017-7543",
"lastModified": "2026-06-17T01:24:34.507",
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"published": "2018-07-26T14:29:00.483",
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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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