Mindsdb

United States Open Source mindsdb.com ↗
D
RISKY
18
Total CVEs
14
Crit / High
2
Medium
0%
Unpatched
33%
Patched
8.1
Avg CVSS
0
CISA KEV
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▸ CVE Trend by Year
▸ Patch Coverage
Patched
33%
Unpatched
0%
Under Review
67%
✓ 1 patched ✗ 0 unpatched ~ 2 under review
▸ Intelligence by Audience
PoC Available
1 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"mindsdb" port:443
org:"Mindsdb" http.status:200
Top EPSS (Exploitation Probability)
CVE-2025-68472 20.26% exploitation probability
CVE-2024-24759 4.94% exploitation probability
CVE-2024-3575 0.37% exploitation probability
Quick Facts for Reporting
Total CVEs tracked
18
Critical severity
2
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
8.1
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: 2026-08-03
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 Mindsdb.

▸ Recent CVEs showing 20 of 3
CVE IDSeverityPatchEPSSDate
CVE-2025-68472 8.1 HIGH PATCHED / FIX AVAILABLE 20.26% 2026-01-12
CVE-2024-24759 PoC 9.3 CRITICAL PATCH UNDER REVIEW 4.94% 2024-09-05
CVE-2024-3575 5.8 MEDIUM PATCH UNDER REVIEW 0.37% 2024-04-16
View all 3 CVEs for Mindsdb →
▸Intel
HQBerkeley, United States
Founded2017
CEOAdam Carrigan
CTOJorge Torres
CountryUnited States
LicenseOpen Source
Trust ScoreD — RISKY
Max CVSS9.3
Last Updated2026-08-03
▸Company Profile

MindsDB is a machine learning platform that enables developers to integrate predictive models directly into databases using standard SQL queries. Its open-source framework simplifies AI deployment for real-time analytics, making it relevant for cybersecurity applications such as anomaly detection and threat prediction. The company has a growing footprint in the AI and database integration space.

▸Response Metrics
Est. MTTR ⓘ ~167 days (Poor)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
CVE Trend ⓘ ↘ -62% better
CVE count 2026 vs 2024:  13 → 5 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
€587K
Est. GDPR High
€5.9M

Based on 2 critical CVEs, 0 CISA KEV, 94% unpatched. Model: GDPR Art.83 · not legal advice.

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