CVE-2026-40171
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedIn 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. An 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's 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceStored XSS vulnerability in Jupyter Notebook (7.0.0-7.5.5) and JupyterLab (≤4.5.6) help command linker allows attackers to embed malicious content in notebooks that steals authentication tokens on user interaction, enabling full session takeover via REST API including file access, code execution, and terminal creation.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- High
- Authentication
- X
- User interaction
- A
- Scope
- X
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify Jupyter Notebook versionRun 'jupyter notebook --version' or check the package.json/version file in your Jupyter environmentAffected if Version is 7.0.0 through 7.5.5 (inclusive)
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Identify JupyterLab versionRun 'jupyterlab --version' or check the package.json/version file in your Jupyter environmentAffected if Version is 4.5.6 or lower
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Confirm help extension is enabled in NotebookCheck for @jupyter-notebook/help-extension package or look for the help menu functionality in the Notebook interfaceAffected if The help extension is loaded and functional in the Notebook UI
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Confirm help extension is enabled in JupyterLabCheck for @jupyterlab/help-extension package or verify help menu items are available in JupyterLabAffected if The help extension is loaded and functional in JupyterLab
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Check allowCommandLinker sanitizer configurationInspect Jupyter configuration files (jupyter_notebook_config.py or jupyter_lab_config.py) for the 'allowCommandLinker' setting in sanitizer configurationAffected if allowCommandLinker is not explicitly set to false (defaults to true, allowing the vulnerable behavior)
You are affected if you run Notebook 7.0.0-7.5.5 or JupyterLab ≤4.5.6 AND have the help extension enabled with allowCommandLinker not explicitly disabled.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scopedUpdate to Notebook 7.5.6, JupyterLab 4.5.7, or respective @jupyter-notebook/help-extension 7.5.6/@jupyterlab/help-extension 4.5.7; alternatively disable the help extensions or set allowCommandLinker to false in sanitizer configuration.
Notebook 7.5.6, JupyterLab 4.5.7, @jupyter-notebook/help-extension 7.5.6, or @jupyterlab/help-extension 4.5.7 depending on component in use
- Identify which Jupyter component is affected: Jupyter Notebook, JupyterLab, or the help-extension packages
- For Jupyter Notebook: Run 'pip install --upgrade notebook==7.5.6' or 'conda install notebook=7.5.6' depending on your package manager
- For JupyterLab: Run 'pip install --upgrade jupyterlab==4.5.7' or 'conda install jupyterlab=4.5.7' depending on your package manager
- For @jupyter-notebook/help-extension: Run 'pip install --upgrade @jupyter-notebook/help-extension==7.5.6'
- For @jupyterlab/help-extension: Run 'pip install --upgrade @jupyterlab/help-extension==4.5.7'
- Restart the Jupyter server to apply the update
- Verify the fix by checking the installed version matches the fixed release
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation3.0 h
- Testing2.0 h
- Review / QA1.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-40171 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-40171 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
- No spam, self-promotion, credentials, or personal data