OPENSUSE-SU-2026:11236-1
Vulnerability from csaf_opensuse - Published: 2026-07-09 00:00 - Updated: 2026-09-17 17:13Summary
python313-Django6-6.0.7-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: python313-Django6-6.0.7-1.1 on GA media
Description of the patch: These are all security issues fixed in the python313-Django6-6.0.7-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-11236
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
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
low
4.8 (Medium)
Affected products
Recommended
8 products, the same list as for
CVE-2026-48588
Threats
Impact
moderate
6.1 (Medium)
Affected products
Recommended
8 products, the same list as for
CVE-2026-48588
Threats
Impact
moderate
References
11 references
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"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.x86_64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.aarch64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.ppc64le",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.s390x",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.x86_64"
]
},
"references": [
{
"category": "external",
"summary": "CVE-2026-53878",
"url": "https://www.suse.com/security/cve/CVE-2026-53878"
},
{
"category": "external",
"summary": "SUSE Bug 1271031 for CVE-2026-53878",
"url": "https://bugzilla.suse.com/1271031"
}
],
"remediations": [
{
"category": "vendor_fix",
"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
"product_ids": [
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.aarch64",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.ppc64le",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.s390x",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.x86_64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.aarch64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.ppc64le",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.s390x",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.x86_64"
]
}
],
"scores": [
{
"cvss_v3": {
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"products": [
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.aarch64",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.ppc64le",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.s390x",
"openSUSE Tumbleweed:python313-Django6-0:6.0.7-1.1.x86_64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.aarch64",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.ppc64le",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.s390x",
"openSUSE Tumbleweed:python314-Django6-0:6.0.7-1.1.x86_64"
]
}
],
"threats": [
{
"category": "impact",
"date": "2026-07-09T00:00:00Z",
"details": "moderate"
}
],
"title": "CVE-2026-53878"
}
]
}
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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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