jupyterlab Known Vulnerabilities & Fixes
jupyterlab has 2 known security vulnerabilities in PyPI (Python). Upgrade to version 4.6.2 or later to resolve all known issues. Data sourced from OSV, enriched with EPSS exploit probability and CISA KEV.
Low Immediate Risk
No actively exploited vulnerabilities detected. Monitor and update in your next maintenance window.
Recommended safe version: 4.6.2
Upgrading to 4.6.2 or later resolves all 2 known vulnerabilities in jupyterlab. Run: pip install "jupyterlab>=4.6.2"
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Security Summary
- 4 affected version ranges have been identified across these 2 advisories.
- 100% of known issues have a published fixed version.
- Remediation: pip install --upgrade jupyterlab
Vulnerabilities
2 unique vulnerabilities — sorted by exploitation risk (KEV → EPSS → CVSS). Click a CVE/GHSA ID for full details. First disclosed May 6, 2026, most recently Jul 22, 2026 (77 days apart).
| CVE / GHSA | Severity | Affected | Fixed In |
|---|---|---|---|
| CVE-2026-73417 JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`) | HIGH | 4.6.0, 4.6.1, 3.3.0, 3.3.1 (+185 more) | 4.6.2, 4.5.10, 4.5.10 (+1 more) |
| CVE-2026-42557 JupyterLab's command linker attributes in HTML enable one-click command execution from untrusted content | HIGH | 0.0.1, 0.0.10, 0.0.13, 0.0.2 (+580 more) | 4.5.7 |
About This Data
Vulnerability data for jupyterlab is sourced from the Open Source Vulnerability (OSV) database, aggregating reports from GitHub Advisory Database, NIST NVD, and ecosystem-specific sources.
CVSS (Common Vulnerability Scoring System) scores reflect exploitability and impact. EPSS (Exploit Prediction Scoring System) scores indicate the probability of exploitation within the next 30 days. Vulnerabilities marked with are listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.
Related PyPI (Python) Packages
Other packages in this ecosystem, ranked by shared vulnerabilities where available.
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