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🐍 PyPI

GHSA-p737-p57g-4cpr

HIGH

Insertion of Sensitive Information into Log File in Jupyter notebook

Also known asCVE-2022-24757PYSEC-2022-179
Published
Mar 25, 2022
Updated
Nov 8, 2023
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
1.2%probability of exploitation in next 30 days
Lower Risk64th percentile+0.89%
0.00%0.57%1.14%1.71%0.3%1.2%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

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?

Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server.

Patches

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

Upgrade to Jupyter Server version 1.15.4

For more information

If you have any questions or comments about this advisory, or vulnerabilities to report, please email our security list [email protected].

Credit: @3coins for reporting. Thank you!

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyter-serverall versions1.15.4

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. 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 to 1.15.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-p737-p57g-4cpr 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-p737-p57g-4cpr 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-p737-p57g-4cpr. 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?_ Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. ### Patches _Has the problem been patched? What versions should users upgrade to?_ Upgrade to Jupyter Server version 1.15.4 ### For more information If you have any questions or comments about this advisory, or vulnerabilities to report, please email our secu
O3 Security · Impact-Aware SCA

Is GHSA-p737-p57g-4cpr in your dependencies?

O3 detects GHSA-p737-p57g-4cpr across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.