Categories
CVE-2020-26261

jupyterhub-systemdspawner enables JupyterHub to spawn single-user notebook servers using systemd. In…

Summary

Vulnerability reported (CVE-2020-26261). Confidential information can be exposed externally.

Original description

The description as published by the source.

Impact

user API tokens issued to single-user servers are specified in the environment of systemd units, which are accessible to all users.

In particular, the-littlest-jupyterhub is affected, which uses systemdspawner by default.

Patches

Patched in jupyterhub-systemdspawner v0.15

Workarounds

No workaround other than upgrading systemdspawner to 0.15

For more information

If you have any questions or comments about this advisory:

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-2020-26261 has been found.
Confidential information can be exposed externally.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "CVE-2020-26261" on the vendor's site.

CVE-2020-26261
Attack vector: local
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 (unclassified) has been reported.

📍 Affected scope

Check the vendor advisory for the affected versions.

🔥 Severity

Severity: ?. Confidential information can be exposed externally.

🔧 How to fix

Update to the patched release per vendor advisory.

🛡️ 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. Audit SBOM/dependencies to find affected services.

Response actions

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

  1. 1
    Identify exposure identify
    Audit SBOM/dependencies for affected components.

    資産台帳・SBOM・依存マニフェストで影響コンポーネントを特定する。

  2. 2
    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-systemdspawner
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.15.0"}]}]

References

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