JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4.
CVE-2026-102831
This high-severity CVE scores 8.1 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit probability: 0.2% (8th percentile of EPSS-scored CVEs). GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
A fix is available — apply it.
- CVSS v3
- 8.1
- EG Score
- 8.1HIGHmedium confidence
- EG Risk
- 37EG Risk 37/100CISA SSVC
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity81% × 45%Exploitation0% × 40%Automatability0% × 15%CISA SSVC: Track at low or medium mission impact; Track* at high (mission-essential systems).Action: A fix is available. Apply it within your standard update timelines. - EPSS PROB
- 0.2%
- EPSS %ILE
- 8th
- KEV
- Not listed
CISA SSVCTrack at low or medium mission impact; Track* at high (mission-essential systems).
A fix is available. Apply it within your standard update timelines.
Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). Mission impact is CISA's Mission & Well-being decision point, and only you can judge it: high means the affected system is essential to your organisation's mission, or its compromise could cause irreversible harm to people. CISA's decision table
Published
September 29, 2026
Last Modified
October 2, 2026
Advisory Details (6)
Auto-updated Sep 29, 2026v4.6.4
Patch available: jupyterlab/jupyterlab v4.6.4
https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4v4.5.11
Patch available: jupyterlab/jupyterlab v4.5.11
https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11commit cf6e89a8d315 (jupyterlab/jupyterlab)
Fix landed in jupyterlab/jupyterlab commit cf6e89a8d315 — awaiting tagged release
https://github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7commit 7f9f29e29e0c (jupyterlab/jupyterlab)
Fix landed in jupyterlab/jupyterlab commit 7f9f29e29e0c — awaiting tagged release
https://github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96commit 1a10a7da5ff6 (jupyterlab/jupyterlab)
Fix landed in jupyterlab/jupyterlab commit 1a10a7da5ff6 — awaiting tagged release
https://github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard · Advisory · jupyterlab/jupyterlab · GitHub
https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xvVendor Advisories for CVE-2026-102831(1)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
Affected Packages
(4 across 1 ecosystem)
PyPI(4)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| jupyterlab | 4.6.0, 4.6.1, 4.6.2, 4.6.3 | 4.6.4 | — |
| jupyterlite | 0.7.0 ... 0.8.3 (17 versions) | 0.8.4 | — |
| jupyterlite-core | 0.7.0 ... 0.8.3 (17 versions) | 0.8.4 | — |
| notebook | 7.5.0 ... 7.6.2 (21 versions) | 7.6.3 | — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 12× in last 7d / 12× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-10-04 01:43 UTCEG score recompute
- 2026-10-03 14:25 UTCEPSS rescore
- 2026-10-03 01:27 UTCEG score recompute
- 2026-10-02 13:18 UTCEG score recompute
- 2026-10-02 12:46 UTCEG score recompute
- 2026-10-01 20:00 UTCEG score recompute
- 2026-10-01 19:49 UTCEPSS rescore
- 2026-09-30 19:37 UTCEG score recompute
- 2026-09-30 15:02 UTCEPSS rescore
- 2026-09-29 19:20 UTCEG score recompute
- 2026-09-29 19:03 UTCEG score recompute
- 2026-09-29 19:03 UTCMITRE cvelistV5first tracked
Related CVEs(same product + same CWE)
Same product
10 shownPyPI:jupyterlite-core · PyPI:jupyterlab
Frequently asked(5)
What is CVE-2026-102831?
When was CVE-2026-102831 disclosed?
Is CVE-2026-102831 actively exploited?
What is the CVSS score of CVE-2026-102831?
How do I remediate CVE-2026-102831?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2026-102831
Is Your Infrastructure Affected by CVE-2026-102831?
EchelonGraph automatically scans your cloud infrastructure and maps CVE exposure using blast radius analysis.