CVE-2026-102904 (GCVE-0-2026-102904)
Vulnerability from cvelistv5 – Published: 2026-09-29 20:47 – Updated: 2026-09-29 20:47
VLAI
EPSS
VEX
Title
JupyterLab: Argument injection in JupyterLab extension uninstall exposes server-readable files and internal URLs
Summary
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation but passes uninstall names to PyPIExtensionManager.uninstall and python -m pip uninstall without rejecting option-like values. The security impact requires that the PyPI Extension Manager is enabled, the account can call the extension API, and kernels and terminals are disabled or delegated to remote hosts; otherwise the user can already read files and make outbound requests directly. An authenticated user with extension API access can supply a pip requirements option to make the server read a local file or fetch an internal URL, and reflected parse errors can return the first unparsable line or response content. A pip log option can also create or corrupt a chosen path with pip-generated log text, but the requester cannot select an arbitrary disclosed line or arbitrary file content, and the injection does not add code execution or availability impact beyond ordinary package removal. This issue is fixed in JupyterLab 4.5.11 and 4.6.4.
Severity
5.4 (Medium)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab/commit/a… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab/commit/e… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab/releases… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
>= 4.0.0, < 4.5.11
Affected: >= 4.6.0, < 4.6.4 |
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "jupyterlab",
"vendor": "jupyterlab",
"versions": [
{
"status": "affected",
"version": "\u003e= 4.0.0, \u003c 4.5.11"
},
{
"status": "affected",
"version": "\u003e= 4.6.0, \u003c 4.6.4"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation but passes uninstall names to PyPIExtensionManager.uninstall and python -m pip uninstall without rejecting option-like values. The security impact requires that the PyPI Extension Manager is enabled, the account can call the extension API, and kernels and terminals are disabled or delegated to remote hosts; otherwise the user can already read files and make outbound requests directly. An authenticated user with extension API access can supply a pip requirements option to make the server read a local file or fetch an internal URL, and reflected parse errors can return the first unparsable line or response content. A pip log option can also create or corrupt a chosen path with pip-generated log text, but the requester cannot select an arbitrary disclosed line or arbitrary file content, and the injection does not add code execution or availability impact beyond ordinary package removal. This issue is fixed in JupyterLab 4.5.11 and 4.6.4."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-88",
"description": "CWE-88: Improper Neutralization of Argument Delimiters in a Command (\u0027Argument Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-209",
"description": "CWE-209: Generation of Error Message Containing Sensitive Information",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918: Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-29T20:47:43.290Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rv",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rv"
},
{
"name": "https://github.com/jupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137ac49e6",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137ac49e6"
},
{
"name": "https://github.com/jupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b29298828f",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b29298828f"
},
{
"name": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11"
},
{
"name": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4"
}
],
"source": {
"advisory": "GHSA-3325-v43h-43rv",
"discovery": "UNKNOWN"
},
"title": "JupyterLab: Argument injection in JupyterLab extension uninstall exposes server-readable files and internal URLs"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-102904",
"datePublished": "2026-09-29T20:47:43.290Z",
"dateReserved": "2026-09-29T17:34:42.744Z",
"dateUpdated": "2026-09-29T20:47:43.290Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-102904",
"date": "2026-09-30",
"epss": "0.00206",
"percentile": "0.09546"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "jupyterlab",
"vendor": "jupyterlab",
"versions": [
{
"status": "affected",
"version": "\u003e= 4.0.0, \u003c 4.5.11"
},
{
"status": "affected",
"version": "\u003e= 4.6.0, \u003c 4.6.4"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation but passes uninstall names to PyPIExtensionManager.uninstall and python -m pip uninstall without rejecting option-like values. The security impact requires that the PyPI Extension Manager is enabled, the account can call the extension API, and kernels and terminals are disabled or delegated to remote hosts; otherwise the user can already read files and make outbound requests directly. An authenticated user with extension API access can supply a pip requirements option to make the server read a local file or fetch an internal URL, and reflected parse errors can return the first unparsable line or response content. A pip log option can also create or corrupt a chosen path with pip-generated log text, but the requester cannot select an arbitrary disclosed line or arbitrary file content, and the injection does not add code execution or availability impact beyond ordinary package removal. This issue is fixed in JupyterLab 4.5.11 and 4.6.4."
}
],
"id": "CVE-2026-102904",
"lastModified": "2026-09-29T21:40:15.583",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.5,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-09-29T21:17:18.423",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/jupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137ac49e6"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b29298828f"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rv"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-88"
},
{
"lang": "en",
"value": "CWE-209"
},
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-09-29T22:12:47+00:00",
"cve": "CVE-2026-102904",
"id": "CVE-2026-102904",
"initial_release_date": "2026-09-29T20:47:43.290000+00:00",
"product_status:known_affected": "21",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "jupyterlab: JupyterLab: Information disclosure via extension uninstallation argument injection",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-102904.json",
"version": "3"
}
}
}
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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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