Vulnerability in jupyterlab (DEBIAN-CVE-2026-73415)
Summary
Vulnerability in jupyterlab (DEBIAN-CVE-2026-73415). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4 or later.
Original description
The description as published by the source.
jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.10 and 4.6.2, in packages/imageviewer/src/widget.ts, JupyterLab's ImageViewer uses URL.createObjectURL for a specially crafted SVG image and revokes the blob URL too early, allowing the image to retain an executable same-origin context when it is opened through the image viewer and then opened in a new browser tab. The resulting cross-site scripting can be used to execute arbitrary code on the JupyterLab server. This issue is fixed in versions 4.5.10 and 4.6.2.
Source: OSV.dev (Open Source Vulnerabilities) OSV
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 DEBIAN-CVE-2026-73415 has been found in jupyterlab.
Risk of unauthorized operations or information disclosure.
What to do: upgrade jupyterlab to 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4 or later.
If unsure, ask your IT team or search "jupyterlab DEBIAN-CVE-2026-73415" on the vendor's site.
DEBIAN-CVE-2026-73415 (jupyterlab)
Patched: 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4 — 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.
A vulnerability (unclassified) exists in jupyterlab.
Check the vendor advisory for the affected versions of jupyterlab.
Severity: ?. Risk of unauthorized operations or information disclosure.
Update to 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
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
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1Identify 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。 -
2Apply patch patch
Upgrade jupyterlab to 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4ステージング環境で 4.4.10+ds1+~3.1.0+~0.16.6+~cs1.4.4-4 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。
-
3Post-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
References
- advisory security-tracker.debian.org