OPENSUSE-SU-2026:10748-1
Vulnerability from csaf_opensuse - Published: 2026-05-11 00:00 - Updated: 2026-09-17 17:04Summary
jupyter-jupyterlab-4.5.7-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: jupyter-jupyterlab-4.5.7-1.1 on GA media
Description of the patch: These are all security issues fixed in the jupyter-jupyterlab-4.5.7-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-10748
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
16 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:jupyter-jupyterlab-0:4.5.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:jupyter-jupyterlab-0:4.5.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:jupyter-jupyterlab-0:4.5.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:jupyter-jupyterlab-0:4.5.7-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-jupyterlab-0:4.5.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-jupyterlab-0:4.5.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-jupyterlab-0:4.5.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-jupyterlab-0:4.5.7-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyterlab-0:4.5.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyterlab-0:4.5.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyterlab-0:4.5.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python313-jupyterlab-0:4.5.7-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyterlab-0:4.5.7-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyterlab-0:4.5.7-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyterlab-0:4.5.7-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python314-jupyterlab-0:4.5.7-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
Affected products
Recommended
16 products, the same list as for
CVE-2026-40171
Threats
Impact
important
9.6 (Critical)
Affected products
Recommended
16 products, the same list as for
CVE-2026-40171
Threats
Impact
critical
References
11 references
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"product_reference": "python314-jupyterlab-0:4.5.7-1.1.x86_64",
"relates_to_product_reference": "openSUSE Tumbleweed"
}
]
},
"vulnerabilities": [
{
"cve": "CVE-2026-40171",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2026-40171"
}
],
"notes": [
{
"category": "general",
"text": "In Jupyter Notebook versions 7.0.0 through 7.5.5, JupyterLab versions 4.5.6 and earlier, and the corresponding @jupyter-notebook/help-extension and @jupyterlab/help-extension packages before 7.5.6 and 4.5.7, a stored cross-site scripting issue in the help command linker can be chained with attacker-controlled notebook content to steal authentication tokens with a single click.\n\nAn attacker can craft a malicious notebook file containing elements that appear indistinguishable from legitimate controls and trigger execution when a user interacts with them. Successful exploitation allows theft of the user\u0027s authentication token and complete takeover of the Jupyter session through the REST API, including reading files, creating or modifying files, accessing kernels to execute arbitrary code, and creating terminals for shell access. This issue has been fixed in Notebook 7.5.6, JupyterLab 4.5.7, @jupyter-notebook/help-extension 7.5.6, and @jupyterlab/help-extension 4.5.7. As a workaround, disable the affected help extensions or set allowCommandLinker to false in the sanitizer configuration.",
"title": "CVE description"
}
],
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},
"references": [
{
"category": "external",
"summary": "CVE-2026-40171",
"url": "https://www.suse.com/security/cve/CVE-2026-40171"
},
{
"category": "external",
"summary": "SUSE Bug 1264348 for CVE-2026-40171",
"url": "https://bugzilla.suse.com/1264348"
}
],
"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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]
}
],
"threats": [
{
"category": "impact",
"date": "2026-05-11T00:00:00Z",
"details": "moderate"
}
],
"title": "CVE-2026-40171"
},
{
"cve": "CVE-2026-42266",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2026-42266"
}
],
"notes": [
{
"category": "general",
"text": "JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 4.0.0 to 4.5.6, the allow-list of extensions that can be installed from PyPI Extension Manager (allowed_extensions_uris) is not correctly enforced by JupyterLab. The PyPI Extension Manager was not contained to packages listed on the default PyPI index. This vulnerability is fixed in 4.5.7.",
"title": "CVE description"
}
],
"product_status": {
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},
"references": [
{
"category": "external",
"summary": "CVE-2026-42266",
"url": "https://www.suse.com/security/cve/CVE-2026-42266"
},
{
"category": "external",
"summary": "SUSE Bug 1265270 for CVE-2026-42266",
"url": "https://bugzilla.suse.com/1265270"
}
],
"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",
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}
],
"threats": [
{
"category": "impact",
"date": "2026-05-11T00:00:00Z",
"details": "important"
}
],
"title": "CVE-2026-42266"
},
{
"cve": "CVE-2026-42557",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2026-42557"
}
],
"notes": [
{
"category": "general",
"text": "jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab\u0027s HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7.",
"title": "CVE description"
}
],
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"summary": "CVE-2026-42557",
"url": "https://www.suse.com/security/cve/CVE-2026-42557"
},
{
"category": "external",
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"url": "https://bugzilla.suse.com/1265269"
}
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}
],
"scores": [
{
"cvss_v3": {
"baseScore": 9.6,
"baseSeverity": "CRITICAL",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
},
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"threats": [
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"date": "2026-05-11T00:00:00Z",
"details": "critical"
}
],
"title": "CVE-2026-42557"
}
]
}
Loading…
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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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