RHSA-2017:1598
Vulnerability from csaf_redhat - Published: 2017-06-28 14:52 - Updated: 2026-06-28 12:30Summary
Red Hat Security Advisory: python-django-horizon security, bug fix, and enhancement update
Severity
Low
Notes
Topic: An update for python-django-horizon is now available for Red Hat OpenStack Platform 10.0 (Newton).
Red Hat Product Security has rated this update as having a security impact of Low. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details: OpenStack Dashboard (horizon) provides administrators and users with a graphical interface to access, provision, and automate cloud-based resources.
The following packages have been upgraded to a later upstream version: python-django-horizon (10.0.3). (BZ#1432289, BZ#1454330)
Security Fix(es):
* A cross-site scripting flaw was discovered in the OpenStack dashboard (horizon) which allowed remote authenticated administrators to conduct XSS attacks using a crafted federation mapping rule. For this flaw to be exploited, federation mapping must be enabled in the dashboard. (CVE-2017-7400)
Terms of Use: This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.
A cross-site scripting flaw was discovered in the OpenStack dashboard (horizon) which allowed remote authenticated administrators to conduct XSS attacks using a crafted federation mapping rule. For this flaw to be exploited, federation mapping must be enabled in the dashboard.
CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')Affected products
Fixed
4 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: 7Server-RH7-RHOS-10.0:openstack-dashboard-1:10.0.3-6.el7ost.noarch | — |
Vendor Fix
fix
|
|
| Unresolved product id: 7Server-RH7-RHOS-10.0:openstack-dashboard-theme-1:10.0.3-6.el7ost.noarch | — |
Vendor Fix
fix
|
|
| Unresolved product id: 7Server-RH7-RHOS-10.0:python-django-horizon-1:10.0.3-6.el7ost.noarch | — |
Vendor Fix
fix
|
|
| Unresolved product id: 7Server-RH7-RHOS-10.0:python-django-horizon-1:10.0.3-6.el7ost.src | — |
Vendor Fix
fix
|
Threats
Impact
Low
References
15 references
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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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