OPENSUSE-SU-2018:2809-1
Vulnerability from csaf_opensuse - Published: 2018-08-16 18:44 - Updated: 2018-08-16 18:44Summary
Security update for python-Django1
Severity
Important
Notes
Title of the patch: Security update for python-Django1
Description of the patch: This update for python-Django1 to version 1.11.15 fixes the following issues:
The following security vulnerability was fixed:
- CVE-2018-14574: Fixed an open redirect possibility in CommonMiddleware (boo#1102680)
The following other bugs were fixed:
- Fixed WKBWriter.write() and write_hex() for empty polygons on GEOS 3.6.1+
- Fixed a regression where altering a field with a unique constraint may drop
and rebuild more foreign keys than necessary
- Fixed crashes in django.contrib.admindocs when a view is a callable object,
such as django.contrib.syndication.views.Feed
- Fixed a regression where QuerySet.values() or values_list() after combining
an annotated and unannotated queryset with union(), difference(), or
intersection() crashed due to mismatching columns
This update was imported from the openSUSE:Leap:15.0:Update update project.
Patchnames: openSUSE-2018-884
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
4.2 (Medium)
Affected products
Recommended
1 product
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Package Hub 15:python2-Django1-1.11.15-bp150.3.3.1.noarch | — |
Vendor Fix
|
Threats
Impact
moderate
References
8 references
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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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