CVE-2026-72675
HighCVSS 7.1Exploitation Probability (EPSS)
Low risk13th percentile - higher than 13% of all known CVEs
Summary
Kibana contains a Missing Authorization (CWE-862) vulnerability that can lead to cross-space information disclosure and unauthorized data modification. Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep ML data separated. Part of the ML functionality did not apply that filter, so operations from one space were carried out against ML data of every space.
Risk Assessment
An attacker could access or modify ML data from other spaces, breaking data isolation and potentially leading to information leakage.
Recommendation
Apply security patches provided by Elastic for Kibana.
Other vulnerabilities in Kibana
See all- CVE-2017-8452High
Kibana versions prior to 5.2.1 configured for SSL client access do not clean up file descriptors after certain requests, leading to accumulation over time until the process crashes.
- CVE-2016-1000219High
Kibana versions before 4.5.4 and 4.1.11, when a custom output is configured for logging, may write cookies and authorization headers to log files. This information could be used to hijack sessions of other users using Kibana behind some form of authentication such as Shield.
- CVE-2019-7609CriticalActively exploited
Kibana versions before 5.6.15 and 6.6.1 contain an arbitrary code execution flaw in the Timelion visualizer. An attacker with access to the Timelion application could send a request that attempts to execute JavaScript code, potentially leading to arbitrary command execution with the permissions of the Kibana process on the host system.
- CVE-2026-102412Medium
Incorrect authorization in Kibana can lead to disclosure of sensitive information. An authenticated user with limited Fleet privileges could access credential material restricted to Fleet administrators. Exploitation may allow theft of cryptographic keys and impersonation of trusted Fleet infrastructure components.
- CVE-2026-102410Medium
Missing authorization in Kibana's Metrics Experience feature allows a user with only data-store-level read access to retrieve index-derived metric data through Kibana, despite lacking the corresponding Kibana feature privilege. A related API enforced authorization, but this internal API did not.
- CVE-2026-102406High
Kibana contains an authorization bypass vulnerability in the Fleet package installation process. A user with delegated Fleet package-management privileges can claim a data stream identifier already in use by another tenant, redirecting the victim's data to infrastructure controlled by the attacker.
- CVE-2026-94400Medium
Uncontrolled resource consumption (CWE-400) in Kibana can lead to denial of service via excessive allocation (CAPEC-130).
- CVE-2026-78582Medium
Missing authorization (CWE-862) in Kibana can lead to unauthorized deletion of data via exploiting incorrectly configured access control security levels (CAPEC-180). An authenticated user holding Synthetics privileges scoped to a single Kibana space could permanently delete Synthetics monitors that are shared into spaces they have no access to. Where a monitor is associated with a private location, the same operation also destroys the underlying Elastic Agent integration configuration without the authorization checks that Fleet would otherwise apply.
- CVE-2026-72662Medium
A vulnerability in Kibana allows authorization bypass through a user-controlled key (CWE-639). An authenticated user with the Timeline feature privilege in a Kibana space could enumerate, read, modify, and delete draft Timeline objects belonging to other users in the same space. Read access is sufficient for enumeration and disclosure; the Timeline write privilege is required for modification and deletion.
- CVE-2026-82302High
Incorrect Authorization in Kibana can lead to unauthorized configuration modification via exploiting incorrectly configured access control security levels.
Original NVD description (English source)
Missing Authorization (CWE-862) in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse (CAPEC-122). Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep the machine learning data of one space separated from another. Part of the Machine Learning functionality did not apply that filter, so operations issued from one space were carried out against the machine learning data of every space in the deployment.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS