CVE-2026-78581 Details
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized data modification via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). Under certain conditions, an authenticated user could reference another user's AI Assistant conversation identifier to access or modify a conversation they do not own. Successful exploitation requires knowledge of a hard-to-guess identifier.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-78581
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%).
0.13 Probability of exploitation activity being observed over the next 30 days (3nd percentile)
CVSS score for CVE-2026-78581
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.
4.2 Medium
Products affected by CVE-2026-78581
Kibana 8.10.1
Kibana 8.10.2
Kibana 8.10.3
Kibana 8.10.4
Kibana 8.11.0
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-2026-78581 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 102 24.11%
US 69 16.31%
DE 47 11.11%
GB 22 5.20%
RU 17 4.02%
SG 14 3.31%
IN 11 2.60%
KR 11 2.60%
HK 10 2.36%
FR 10 2.36%

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CVE-2026-78581 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 256 89.20%
Telecommunications 27 9.41%
Retail 2 0.70%
Government/Politics 1 0.35%
Education 1 0.35%

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