Improper Privilege Management (CWE-269) in Kibana Fleet can lead to privilege escalation via Privilege Escalation (CAPEC-233). An integration policy may optionally declare extra data streams that the integration writes to, which Fleet adds to the Elasticsearch API key issued to Elastic Agents enrolled in the corresponding agent policy. The resulting key allows new documents to be inserted and index mappings to be extended for specific indices. The key does not allow reading, updating, or deleting existing documents
Incorrect Authorization (CWE-863) in Kibana Fleet can lead to privilege escalation via Privilege Abuse (CAPEC-122). Fleet restricts some callers to managing integration policies for one specific integration. When an existing integration policy was updated, that restriction was evaluated against the integration recorded on the stored policy rather than against the replacement integration supplied with the update. An authenticated user holding only the Elastic Defend endpoint policy management privilege was therefore able to convert an endpoint policy they administer into a policy for a different integration, and to supply that integration's configuration at the same time.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered.
Kibana Agent Builder determines whether a caller owns a private agent by comparing a stable user identifier when one is recorded, and falling back to a comparison of the username when it is not. A username is not unique across Elasticsearch authentication realms, so two distinct principals that share a username in different realms are treated as the same owner. This discloses the configuration and instructions of an agent the caller does not own, and allows that agent to be altered or removed.
Improperly Controlled Modification of Dynamically-Determined Object Attributes (CWE-915) in the case management functionality of Elastic Security in Kibana can lead to unauthorized modification of case data by an authenticated user who has not been granted case editing privileges, via Manipulating User-Controlled Variables (CAPEC-77). Object attributes accepted by the case management API were not subject to the same authorization enforcement applied in the user interface, so a low-privileged user could alter case records they were only entitled to view.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with read-only privileges to the alerting feature could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. A single request is sufficient to leave Kibana unable to serve requests for all users until the process is restarted.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user who is authorized to read alerting rules in a single Kibana space could retrieve alerting rule execution telemetry that belongs to spaces the user is not authorized to access. The disclosed telemetry includes rule identifiers, rule names, space identifiers, execution outcomes, timestamps, and execution counters.
Inefficient Algorithmic Complexity (CWE-407) in Kibana can lead to denial of service via Input Data Manipulation (CAPEC-153). A specially crafted, deeply nested expression submitted to a Kibana TSVB visualization is evaluated with a worst-case cost that grows disproportionately with the size of the input. Because the evaluation runs synchronously, a single request consumes the Kibana request-processing thread indefinitely, and Kibana stops responding to all further requests until the service is restarted.
Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An internal Kibana data retrieval capability used by Elastic Defend endpoint response actions did not enforce the Security Solution and endpoint privileges that its user-facing equivalents require, and it retrieved data with elevated internal permissions rather than the permissions of the requesting user. As a result, an authenticated low-privileged Kibana user with no Security Solution privileges, endpoint privileges and no Elasticsearch privileges on the underlying data, could read endpoint response action records and the corresponding response content returned by managed hosts.
Uncaught Exception (CWE-248), resulting from Improper Input Validation (CWE-20), in Kibana can lead to denial of service via Input Data Manipulation (CAPEC-153). An authenticated user holding only low-privileged access can cause an internal error condition in Kibana by supplying specially crafted data. The resulting error is raised on an execution path so it propagates as an uncaught exception and terminates the Kibana process. Kibana is unavailable to all users until the service is restarted, and the condition can be triggered repeatedly.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A specially crafted, malformed payload submitted to a Kibana visualization feature by an authenticated user holding only low-privileged access is not correctly validated before use. Processing the request causes unbounded memory growth in the Kibana process, which is terminated by the host once available memory is exhausted. Kibana then becomes unavailable to all users until the service is restarted.
Cross-Site Request Forgery (CWE-352) in Kibana can lead to privilege escalation via Cross Site Request Forgery (CAPEC-62). A user who is permitted to create visualizations can save a specially crafted Vega visualization that, when it is opened by another user, causes authenticated requests to be issued to Kibana in the context of the viewing user's session.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat.
CVE-2026-72666 is an authorization bypass vulnerability in Elastic Kibana version 9.1.0. It allows a user authorized to run Osquery live queries in one Kibana space to execute queries on Elastic Agents assigned to other spaces they do not have access to. This results in unauthorized disclosure of information from hosts in those other spaces. The vulnerability is due to improper access control enforcement (CWE-639).
CVE-2026-72665 is a missing authorization vulnerability in Elastic Kibana that allows a user with permissions to author and evaluate Elastic Security detection rules to execute Osquery and Elastic Defend response actions on managed hosts without having the required privileges. This can lead to unauthorized information disclosure or unauthorized changes to host state. The vulnerability affects Kibana versions 8.5.0 and 9.0.0. It has a high severity with a CVSS score of 8.1.
CVE-2026-72664 is a missing authorization vulnerability in Elastic Kibana that allows users with detection rule authoring privileges to execute Elastic Defend response actions on managed hosts without having the necessary endpoint response action privileges. This occurs because the functionality is not properly constrained by access control lists (ACLs). The vulnerability affects Kibana versions 8.9.0 and 9.0.0. The CVSS score is 6.5, indicating a medium severity level.
Relative Path Traversal (CWE-23) in Kibana can lead to the unauthorized deletion of Kibana resources via Relative Path Traversal (CAPEC-139). Kibana Fleet accepted a user-supplied identifier for a Fleet Server host configuration without rejecting relative traversal sequences. The identifier is stored as provided and is later incorporated into the request that Kibana issues when that configuration is removed.
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.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A user-supplied list of document fields accepted by the Kibana Playground for RAG feature was neither bounded in length nor de-duplicated before it was used to assemble the response for each matching document. A single crafted request could therefore make Kibana build a response far larger than the data it was derived from, and the resulting processing and memory pressure exhausts the resources of the Kibana instance.