Vulnerability in Jupyter Notebook (CVE-2018-8768)

Summary

Vulnerability in Jupyter Notebook (CVE-2018-8768). Successful exploitation can lead to full system takeover.

Original description

The description as published by the source.

In Jupyter Notebook before 5.4.1, a maliciously forged notebook file can bypass sanitization to execute JavaScript in the notebook context. Specifically, invalid HTML is 'fixed' by jQuery after sanitization, making it dangerous.

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-2018-8768 has been found in Jupyter Notebook.
Successful exploitation can lead to full system takeover.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Jupyter Notebook CVE-2018-8768" on the vendor's site.

CVE-2018-8768 (Jupyter Notebook)
Attack vector: local / unauthenticated
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) exists in Jupyter Notebook.

📍 Affected scope

Check the vendor advisory for the affected versions of Jupyter Notebook.

🔥 Severity

Severity: ?. Successful exploitation can lead to full system takeover.

🔧 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
Identify exposure identify
```
Audit SBOM/dependencies for affected components.
```
資産台帳・SBOM・依存マニフェストで Jupyter Notebook を使っているサービスとバージョンを洗い出す。
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。

References

advisory openwall.com
web lists.debian.org