Vulnerability in jupyterhub (CVE-2026-54338)
Summary
Vulnerability in jupyterhub (CVE-2026-54338). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 5.5.0 or later.
Original description
The description as published by the source.
JupyterHub is software that allows users to create a multi-user server for Jupyter notebooks. Prior to 5.5.0, invalid input to form-based login authenticators can place an unbounded attacker-controlled username in failed-login logs, allowing an unauthenticated attacker to consume logging and storage resources. This issue is fixed in version 5.5.0.
Source: NIST National Vulnerability Database 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-2026-54338 has been found in jupyterhub.
Risk of unauthorized operations or information disclosure. CVSS score: 5.3/10.
What to do: upgrade jupyterhub to 5.5.0 or later.
If unsure, ask your IT team or search "jupyterhub CVE-2026-54338" on the vendor's site.
CVE-2026-54338 (jupyterhub) — CWE-400 / CVSS v3 5.3
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Patched: 5.5.0 — apply immediately
Workaround: Use an Authenticator that doesn't use a login form, such as OAuthenticator.
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 (CWE-400) exists in jupyterhub.
Check the vendor advisory for the affected versions of jupyterhub.
Severity: Medium (CVSS 5.3/10). Risk of unauthorized operations or information disclosure.
Update to 5.5.0.
Workaround: Use an Authenticator that doesn't use a login form, such as OAuthenticator.
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
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1Identify 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。 -
2Apply temporary workaround mitigate
Use an Authenticator that doesn't use a login form, such as OAuthenticator.パッチが適用されるまでの応急処置として、Use an Authenticator that doesn't use a login form, such as OAuthenticator. を実施。回避策の副作用 (機能低下) を確認した上で。
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3Apply patch patch
Upgrade jupyterhub to 5.5.0ステージング環境で 5.5.0 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。
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4Post-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
Fix status by distribution
Fixed packages published by each distribution for this CVE
- Debian DEBIAN-CVE-2026-54338 jupyterhub
- Ubuntu UBUNTU-CVE-2026-54338 jupyterhub
References
- web github.com
- web github.com
- web nvd.nist.gov
- web github.com