SUSE-SU-2015:1336-1
Vulnerability from csaf_suse - Published: 2015-05-11 09:09 - Updated: 2026-09-20 12:05Summary
Security update for python-Jinja2
Severity
Moderate
Notes
Title of the patch: Security update for python-Jinja2
Description of the patch: The python-Jinja2 package was updated to version 2.7.3 to fix a security issues and some build problems.
The following vulnerabilities were fixed:
- Update to 2.7.3 (bnc#858239, CVE-2014-0012)
- Security issue: Corrected the security fix for the cache folder.
This fix was provided by RedHat.
The following build issues were fixed:
- run testsuite during build
- adjust dependency to use up to date package name for python-MarkupSafe
- fix package build (file selection missing)
Patchnames: SUSE-SLE12-CLOUD-5-2015-363,SUSE-Storage-1.0-2015-363
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Cloud Compute Node for SUSE Linux Enterprise 12 5:python-Jinja2-0:2.7.3-4.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Enterprise Storage 1.0:python-Jinja2-0:2.7.3-4.1.noarch | — |
Vendor Fix
|
Threats
Impact
moderate
References
8 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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