MediumCVE-2026-102904

    Jupyterlab: Argument Injection (CVE-2026-102904)

    Published Last modified Sources: OSV, Hersteller, CVE.org

    What is affected, what to do

    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 available sources name no fixed version. Check the vendor guidance in the references below.

    Affected
    • Jupyterlab gte 4.0.0, < 4.5.11..*

    Not sure whether and how you are affected? Ask a question about this vulnerability

    Metrics

    5.4

    Priority

    XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.

    Source: Vendor (CNA), CVSS v3

    5.4

    CVSS v3

    Severity Medium on the scale from 0 to 10.

    Source: OSV, Hersteller, CVE.org

    0.2 %

    EPSS score

    Low — model estimates < 1% exploitation likelihood.

    Source: FIRST EPSS, percentile 10.7

    Show all metrics
    Severity
    Medium
    Priority (0–325)

    The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?

    Read in glossary
    57.90 Methodology
    Exploit maturity

    An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.

    Read in glossary
    no public PoC known
    XIEM Effective CVSS

    XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.

    Read in glossary
    5.4 Methodology
    CVSS v3

    CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.

    Read in glossary
    5.4
    EPSS score

    The EPSS score is the absolute model output for an individual vulnerability: the estimated probability of real-world exploitation within the next 30 days, expressed as a value between 0 and 1 (i.e. 0 % to 100 %). A score of 0.42 means „the model estimates a 42 % chance of real-world exploitation within 30 days“.

    Read in glossary
    0.2 %
    Low — model estimates < 1% exploitation likelihood.
    EPSS percentile

    The EPSS percentile is the relative position of a vulnerability within all EPSS-scored CVEs, expressed as a value between 0 and 1. A percentile of 0.90 means „this CVE has a higher EPSS score than 90 % of all other scored CVEs“. Unlike the EPSS score, it is not a probability — but a positioning within a ranking.

    Read in glossary
    10.7
    Elevated — this CVE ranks above at least 10% of all CVEs scored today.
    KEV status

    The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.

    Read in glossary
    —
    Published
    CISA assessment (SSVC)
    Exploitation: none known · not automatable · Technical impact: partial
    Source: CISA Vulnrichment, as of 30 September 2026
    CWE

    CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.

    Read in glossary
    CWE-88, CWE-209, CWE-918

    Detection rules

    No NEOSEC detection rule is available for this vulnerability yet.

    Classification under NIS2 and CRA

    Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.

    NIS2

    NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.

    Read in glossary
    Handle the vulnerability in regular vulnerability handling under Art. 21(2)(e) NIS2.
    CRA

    The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.

    Read in glossary
    From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
    ISO/IEC 27001

    ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.

    Read in glossary
    Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.

    Description

    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.

    Source: OSV (Open Source Vulnerabilities), GitHub Security Advisories, NVD (NIST), cvelistv5

    Affected products

    The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.

    Affected products
    Affected versionsFixed in
    jupyterlabjupyterlab
    • ≥ 4.0.0, < 4.5.11
    • —
    pypijupyterlab
    • 4.1.3
    • 4.2.0b1
    • 4.4.0a3
    • 4.5.2
    • 4.0.0
    • 4.0.8
    • 4.5.0
    • 4.3.0b0
    • 4.1.1
    • 4.1.0b1
    • 4.2.3
    • 4.5.0a3
    • 4.4.0
    • 4.3.1
    • 4.5.8
    • 4.4.0a2
    • 4.5.0b0
    • 4.4.1
    • 4.0.12
    • 4.2.6
    • 4.1.0b2
    • 4.4.0a0
    • 4.4.0b1
    • 4.5.0rc0
    • 4.0.5
    • 4.5.0a2
    • 4.4.5
    • 4.0.3
    • 4.3.0b2
    • 4.2.0b3
    • 4.2.7
    • 4.5.0a4
    • 4.2.0
    • 4.4.3
    • 4.1.0rc0
    • 4.4.0b2
    • 4.3.0b1
    • 4.5.10
    • 4.0.7
    • 4.1.4
    • 4.3.0a2
    • 4.3.5
    • 4.0.6
    • 4.5.7
    • 4.4.0rc1
    • 4.3.0a0
    • 4.1.5
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    Vendors and products

    Weakness classes (CWE)

    • CWE-88Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')

      Base

      The product constructs a string for a command to be executed by a separate component in another control sphere, but it does not properly delimit the intended arguments, options, or switches within that command string.

      Entry at MITRE CWE-88

    • CWE-209Generation of Error Message Containing Sensitive Information

      Base

      The product generates an error message that includes sensitive information about its environment, users, or associated data.

      Entry at MITRE CWE-209

    • CWE-918Server-Side Request Forgery (SSRF)

      Base

      The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

      Entry at MITRE CWE-918

    References & sources

    • github.comjupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rvx_refsource_CONFIRM
    • github.comjupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137…x_refsource_MISC
    • github.comjupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b292…x_refsource_MISC
    • github.comjupyterlab/jupyterlab/releases/tag/v4.5.11x_refsource_MISC
    • github.comjupyterlab/jupyterlab/releases/tag/v4.6.4x_refsource_MISC
    • NVD (NIST)vuln/detail/CVE-2026-102904advisory
    • github.comjupyterlab/jupyterlab/commit/9e1951e57da499ca66ef5e0caf68e71ad2…web
    • github.comjupyterlab/jupyterlabpackage
    • pypi.orgproject/jupyterlabpackage
    • GitHub Security Advisoriesadvisories/GHSA-3325-v43h-43rvadvisory

    Changes to this CVE

    Who changed this CVE and when: NVD (analysis, affected products, CVSS), the CVE publisher (CNA) and additional providers such as CISA (ADP).

    1. Record modifiedCISA ADP

      CISA assessment (SSVC): exploitation: none known, automatable: no

      Show the original change
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      SSVC assessmentadded
      —
      {"id":"CVE-2026-102904","role":"CISA Coordinator","options":[{"exploitation":"none"},{"automatable":"no"},{"technicalImpact":"partial"}],"version":"2.0.3","timestamp":"2026-09-30T20:06:56.346526Z"}

      Source identifier: 134c704f-9b21-4f2e-91b3-4a467353bcc0

    2. ReceivedGitHub

      CVSS V3.1: AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

      Weakness type: CWE-88, CWE-918, CWE-209

      Description added or changed

      Show 11 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Descriptionadded
      —
      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.
      CVSSadded
      —
      AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
      Weakness type (CWE)added
      —
      CWE-88
      Weakness type (CWE)added
      —
      CWE-918
      Weakness type (CWE)added
      —
      CWE-209
      Affected versions (publisher)added
      —
      New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/102xxx/CVE-2026-102904.json">CVE-2026-102904</a>
      Referenceadded
      —
      https://github.com/jupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137ac49e6
      Referenceadded
      —
      https://github.com/jupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b29298828f
      Referenceadded
      —
      https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11
      Referenceadded
      —
      https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4
      Referenceadded
      —
      https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rv

      Source identifier: security-advisories@github.com

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