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MEDIUM severity

GHSA-5mrq-x3x5-8v8f — jupyter-server

MEDIUM

GHSA-5mrq-x3x5-8v8f is a medium-severity (CVSS 6.8) CWE-613 vulnerability in jupyter-server. A fix is available for jupyter-server — see the affected versions and patch details below.

Jupyter Server's Authentication Cookies Remain Valid After Password Reset and Server Restart

Also known asCVE-2026-40934PYSEC-2026-69
Published
May 5, 2026
Updated
Sep 10, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 24, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-5mrq-x3x5-8v8f.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs29th percentile — riskier than 29% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-5mrq-x3x5-8v8f plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 379,145 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍jupyter-server

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

A persistent cookie secret vulnerability allows authenticated users to maintain indefinite access even after password changes.

The cookie secret used to sign authentication cookies is stored in a permanent file (~/.local/share/jupyter/runtime/jupyter_cookie_secret) that is never automatically rotated or cleared, allowing stolen or compromised cookies to remain valid indefinitely regardless of password resets.

PoC

  • Start a Jupyter server with password authentication: jupyter server password, jupyter server
  • Log in with the password and capture the authentication cookie (e.g., just login with a browser).
  • Change the password to revoke access: jupyter server password
  • Restart the server
  • Use the old stolen cookie => remains valid and provides full authenticated access.

Impact

  • All jupyter-server deployments using password authentication where security incidents may occur
  • Multi-user systems where one user's compromised session should be revocable by administrators
  • Shared or public-facing Jupyter servers where credential rotation is a security requirement
  • Any deployment where password changes are expected to revoke existing sessions

Patches

Jupyter Server 2.18+

Workaround

rm ~/.local/share/jupyter/runtime/jupyter_cookie_secret
# Then restart the server

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyter-serverall versions2.18.0pip install --upgrade 'jupyter-server==2.18.0'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for jupyter-server, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update jupyter-server to 2.18.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-5mrq-x3x5-8v8f is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-5mrq-x3x5-8v8f can be triaged on real exposure rather than presence alone.

Tailored to GHSA-5mrq-x3x5-8v8f. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Summary A persistent cookie secret vulnerability allows authenticated users to maintain indefinite access even after password changes. The cookie secret used to sign authentication cookies is stored in a permanent file (`~/.local/share/jupyter/runtime/jupyter_cookie_secret`) that is never automatically rotated or cleared, allowing stolen or compromised cookies to remain valid indefinitely regardless of password resets. ## PoC - Start a Jupyter server with password authentication: `jupyter server password`, `jupyter server` - Log in with the password and capture the authentication cooki
O3 Security · Impact-Aware SCA

Is GHSA-5mrq-x3x5-8v8f in your dependencies?

O3 Security finds GHSA-5mrq-x3x5-8v8f across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-5mrq-x3x5-8v8f: jupyter-server | O3 Security