CVE-2026-72654 Details
Execution with Unnecessary Privileges (CWE-250) in the Kibana machine learning feature can lead to information disclosure via Privilege Abuse (CAPEC-122). An operation available to users holding only read access to the machine learning feature was performed with an internal service identity rather than the identity of the requesting user. Such a user could therefore receive data from Elasticsearch indices they are not authorized to read. No Elasticsearch cluster or index privileges are required.
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Exploit prediction scoring system (EPSS) score for CVE-2026-72654
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%).
0.37 Probability of exploitation activity being observed over the next 30 days (31th percentile)
CVSS score for CVE-2026-72654
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.
6.5 Medium
Products affected by CVE-2026-72654

CVE-2026-72654 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 131 23.69%
US 84 15.19%
DE 55 9.95%
BR 30 5.42%
RU 22 3.98%
GB 22 3.98%
IN 19 3.44%
FR 17 3.07%
SG 16 2.89%
KR 13 2.35%

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CVE-2026-72654 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 322 88.95%
Telecommunications 34 9.39%
Retail 2 0.55%
Energy/Resources 1 0.28%
Government/Politics 1 0.28%
Media/Entertainment 1 0.28%
Education 1 0.28%

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