CVE-2026-72671 Details
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jobs and data frame analytics jobs without the trained model privilege can therefore remove a trained model from a space. The model itself is not deleted and remains available in its other spaces, and the change can be reversed by a suitably privileged user.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-72671
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.2 Probability of exploitation activity being observed over the next 30 days (10th percentile)
CVSS score for CVE-2026-72671
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
4.3 Medium
Products affected by CVE-2026-72671
Kibana 5.6.11
Kibana 5.6.12
Kibana 5.6.16
Kibana 5.6.3
Kibana 5.6.4
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-72671 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 281 32.83%
US 127 14.84%
DE 79 9.23%
FR 32 3.74%
BR 31 3.62%
RU 28 3.27%
SG 26 3.04%
IN 24 2.80%
GB 23 2.69%
KR 18 2.10%

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CVE-2026-72671 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 526 89.91%
Telecommunications 48 8.21%
Retail 3 0.51%
Education 2 0.34%
Government/Politics 2 0.34%
Utilities 1 0.17%
Energy/Resources 1 0.17%
Engineering 1 0.17%
Media/Entertainment 1 0.17%

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