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CVE-2026-73415

Cross-Site Scripting (XSS) in jupyterlab (CVE-2026-73415)

Summary

Cross-site scripting in jupyterlab (CVE-2026-73415). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 4.5.10 or later.

Original description

The description as published by the source.

JupyterLab's image viewer allows for cross-site scripting (XSS) when a specially-crafted image file is opened through the image viewer and then opened in a new tab. This XSS issue can be used to cause remote code execution (RCE) on the JupyterLab server.

Impact

This vulnerability allows for arbitrary code execution.

Patches

JupyterLab v4.6.2 and v4.5.10 contain the patch.

Workarounds

Disable the image viewer plugin:

jupyter labextension disable @jupyterlab/imageviewer-extension:plugin

Confirm with:

jupyter labextension list

Source: GitHub Security Advisories (Global) NVD GitHub Advisory

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-73415 has been found in jupyterlab.
Risk of unauthorized operations or information disclosure.
What to do: upgrade jupyterlab to 4.5.10 or later.
If unsure, ask your IT team or search "jupyterlab CVE-2026-73415" on the vendor's site.

CVE-2026-73415 (jupyterlab) — CWE-79
Patched: 4.5.10 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

Cross-site scripting (XSS) (CWE-79) exists in jupyterlab.

📍 Affected scope

Check the vendor advisory for the affected versions of jupyterlab.

🔥 Severity

Severity: ?. Risk of unauthorized operations or information disclosure.

🔧 How to fix

Update to 4.5.10.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'jupyterlab' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify 
    grep -r 'jupyterlab' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で jupyterlab を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Apply patch patch 
    Upgrade jupyterlab to 4.5.10

    ステージング環境で 4.5.10 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  3. 3
    Post-deployment verification verify 
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

pip jupyterlab
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.5.10"}]}]
Bitnami jupyterlab
[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"4.5.10"},{"introduced":"4.6.0"},{"fixed":"4.6.2"}]}]
PyPI jupyterlab
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.5.10"},{"introduced":"4.6.0"},{"fixed":"4.6.2"}]}]

Fix status by distribution

Fixed packages published by each distribution for this CVE

References

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