Categories
CVE-2021-41247

Vulnerability in jupyterhub (CVE-2021-41247)

Summary

Vulnerability in jupyterhub (CVE-2021-41247). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 1.5.0 or later.

Original description

The description as published by the source.

Impact

Users of JupyterLab with JupyterHub who have multiple JupyterLab tabs open in the same browser session, may see incomplete logout from the single-user server, as fresh credentials (for the single-user server only, not the Hub) reinstated after logout, if another active JupyterLab session is open while the logout takes place.

Patches

Upgrade to JupyterHub 1.5. For distributed deployments, it is jupyterhub in the user environment that needs patching. There are no patches necessary in the Hub environment.

Workarounds

The only workaround is to make sure that only one JupyterLab tab is open when you log out.

Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory 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 CVE-2021-41247 has been found in jupyterhub.
Risk of unauthorized operations or information disclosure.
What to do: upgrade jupyterhub to 1.5.0 or later.
If unsure, ask your IT team or search "jupyterhub CVE-2021-41247" on the vendor's site.

CVE-2021-41247 (jupyterhub) — CWE-613
Attack vector: remote (network-reachable)
Patched: 1.5.0 — apply immediately
Workaround: The only workaround is to make sure that only one JupyterLab tab is open when you log out.
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

A vulnerability (CWE-613) exists in jupyterhub.

📍 Affected scope

Check the vendor advisory for the affected versions of jupyterhub.

🔥 Severity

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

🔧 How to fix

Update to 1.5.0.

🛡️ Workaround

Workaround: The only workaround is to make sure that only one JupyterLab tab is open when you log out.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'jupyterhub' . 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 'jupyterhub' . | 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 jupyterhub 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 temporary workaround mitigate
    The only workaround is to make sure that only one JupyterLab tab is open when you log out.

    パッチが適用されるまでの応急処置として、The only workaround is to make sure that only one JupyterLab tab is open when you log out. を実施。回避策の副作用 (機能低下) を確認した上で。

  3. 3
    Apply patch patch
    Upgrade jupyterhub to 1.5.0

    ステージング環境で 1.5.0 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。

  4. 4
    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

PyPI jupyterhub
[{"type":"ECOSYSTEM","events":[{"introduced":"1.0.0"},{"fixed":"1.5.0"}]}]

References

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