OPENSUSE-SU-2026:12012-1
Vulnerability from csaf_opensuse - Published: 2026-10-04 00:00 - Updated: 2026-10-05 09:18Summary
python313-jupyter-server-2.20.0-1.3 on GA media
Severity
Moderate
Notes
Title of the patch: python313-jupyter-server-2.20.0-1.3 on GA media
Description of the patch: These are all security issues fixed in the python313-jupyter-server-2.20.0-1.3 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-12012
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.4 (Medium)
Affected products
Recommended
16 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-0:2.20.0-1.3.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-0:2.20.0-1.3.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-0:2.20.0-1.3.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-0:2.20.0-1.3.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-test-0:2.20.0-1.3.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-test-0:2.20.0-1.3.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-test-0:2.20.0-1.3.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyter-server-test-0:2.20.0-1.3.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-0:2.20.0-1.3.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-0:2.20.0-1.3.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-0:2.20.0-1.3.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-0:2.20.0-1.3.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-test-0:2.20.0-1.3.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-test-0:2.20.0-1.3.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-test-0:2.20.0-1.3.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyter-server-test-0:2.20.0-1.3.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
4.3 (Medium)
Affected products
Recommended
16 products, the same list as for
CVE-2020-26232
Threats
Impact
moderate
4.6 (Medium)
Affected products
Recommended
16 products, the same list as for
CVE-2020-26232
Threats
Impact
moderate
4.1 (Medium)
Affected products
Recommended
16 products, the same list as for
CVE-2020-26232
Threats
Impact
moderate
References
14 references
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]
},
"references": [
{
"category": "external",
"summary": "CVE-2023-49080",
"url": "https://www.suse.com/security/cve/CVE-2023-49080"
},
{
"category": "external",
"summary": "SUSE Bug 1217809 for CVE-2023-49080",
"url": "https://bugzilla.suse.com/1217809"
}
],
"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": [
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}
],
"scores": [
{
"cvss_v3": {
"baseScore": 4.1,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"products": [
"openSUSE Tumbleweed:python313-jupyter-server-0:2.20.0-1.3.aarch64",
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}
],
"threats": [
{
"category": "impact",
"date": "2026-10-04T00:00:00Z",
"details": "moderate"
}
],
"title": "CVE-2023-49080"
}
]
}
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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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