Jupyterlab

United States Open Source jupyter.org ↗
D
RISKY
6
Total CVEs
3
Crit / High
1
Medium
0%
Unpatched
75%
Patched
8.2
Avg CVSS
0
CISA KEV
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▸ CVE Trend by Year
▸ Patch Coverage
Patched
75%
Unpatched
0%
Under Review
25%
✓ 3 patched ✗ 0 unpatched ~ 1 under review
▸ Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"jupyterlab" port:443
org:"Jupyterlab" http.status:200
Top EPSS (Exploitation Probability)
CVE-2024-39700 1.09% exploitation probability
CVE-2024-22421 0.67% exploitation probability
CVE-2024-22420 0.57% exploitation probability
CVE-2025-59842 0.24% exploitation probability
Quick Facts for Reporting
Total CVEs tracked
6
Critical severity
1
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
8.2
Security grade
D (RISKY)
NVD Data Attribution
Source: NIST National Vulnerability Database (NVD) + GitHub Advisory Database.
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-07-07
Security Risk Score (for investors)
LOW
Vuln Volume
GOOD
Patch Responsiveness
LOW
CISA Exposure
⚠ Not financial advice. Past security incidents do not guarantee future stock performance.
▸ Security News Google News

No recent security news found for Jupyterlab.

▸ Recent CVEs showing 20 of 4
CVE IDSeverityPatchEPSSDate
CVE-2025-59842 2.1 LOW PATCHED / FIX AVAILABLE 0.24% 2025-09-26
CVE-2024-39700 10.0 CRITICAL PATCH UNDER REVIEW 1.09% 2024-07-16
CVE-2024-22420 6.5 MEDIUM PATCHED / FIX AVAILABLE 0.57% 2024-01-19
CVE-2024-22421 7.6 HIGH PATCHED / FIX AVAILABLE 0.67% 2024-01-19
View all 4 CVEs for Jupyterlab →
▸Intel
Founded2014
CountryUnited States
LicenseOpen Source
Trust ScoreD — RISKY
Max CVSS10.0
Last Updated2026-07-07
▸Company Profile

JupyterLab is an open-source web-based interactive development environment for Jupyter notebooks, code, and data. It is maintained by Project Jupyter, a community-driven initiative under the auspices of the NumFOCUS Foundation. Its cybersecurity relevance stems from its widespread use in data science and research, where vulnerabilities in JupyterLab could expose sensitive data or computational environments.

▸Response Metrics
Est. MTTR ⓘ ~45 days (Good)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
CVE Trend ⓘ ↗ +100% worse
CVE count 2026 vs 2025:  1 → 2 CVEs
Patch Speed ⓘ Poor (>65% open)
0% of CVEs still unpatched.  Excellent: <20% · Good: 20-40% · Avg: 40-65% · Poor: >65%
▸ Financial Risk Estimate
Est. GDPR Low
€610K
Est. GDPR High
€6.1M

Based on 1 critical CVEs, 0 CISA KEV, 100% unpatched. Model: GDPR Art.83 · not legal advice.

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