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🐍 PyPI

GHSA-gcv9-6737-pjqw

MEDIUM

SSRF vulnerability in jupyter-server-proxy

Also known asCVE-2022-21697PYSEC-2022-16
Published
Jan 27, 2022
Updated
Sep 24, 2024
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
1.1%probability of exploitation in next 30 days
Lower Risk61th percentile+0.73%
0.00%0.53%1.06%1.60%0.4%1.1%Dec 25Apr 26Jun 26

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.

Blast Radius

1 pkg affected
🐍jupyter-server-proxy

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

Impact

What kind of vulnerability is it? Server-Side Request Forgery ( SSRF )

Who is impacted? Any user deploying Jupyter Server or Notebook with jupyter-proxy-server extension enabled.

A lack of input validation allowed authenticated clients to proxy requests to other hosts, bypassing the allowed_hosts check. Because authentication is required, which already grants permissions to make the same requests via kernel or terminal execution, this is considered low to moderate severity.

Patches

Has the problem been patched? What versions should users upgrade to?

Upgrade to 3.2.1, or apply the patch https://github.com/jupyterhub/jupyter-server-proxy/compare/v3.2.0...v3.2.1.patch

For more information

If you have any questions or comments about this advisory:

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyter-server-proxyall versions3.2.1

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-proxy. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update jupyter-server-proxy to 3.2.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-gcv9-6737-pjqw 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 pinpoints whether GHSA-gcv9-6737-pjqw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-gcv9-6737-pjqw. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Impact **What kind of vulnerability is it?** Server-Side Request Forgery ( SSRF ) **Who is impacted?** Any user deploying Jupyter Server or Notebook with jupyter-proxy-server extension enabled. A lack of input validation allowed authenticated clients to proxy requests to other hosts, bypassing the `allowed_hosts` check. Because authentication is required, which already grants permissions to make the same requests via kernel or terminal execution, this is considered low to moderate severity. ### Patches _Has the problem been patched? What versions should users upgrade to?_ Upgrade
O3 Security · Impact-Aware SCA

Is GHSA-gcv9-6737-pjqw in your dependencies?

O3 detects GHSA-gcv9-6737-pjqw across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.