Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized query execution against Elastic Agents that are assigned to a Kibana space the requesting user has no access to, via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A user who is authorized to run Osquery live queries in one space can have a query carried out on hosts belonging to another space, resulting in disclosure of information from those hosts to the Osquery results data stream.
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.
The state that Kibana stores for an Observability Onboarding flow is not bound to the user who created the flow, and the routes that read and update that state do not verify ownership. An authenticated user who holds only generic read access to the space can therefore discover the onboarding flows of other users, read their onboarding state, and write arbitrary progress data into them. A tampered flow can also cause the owner's onboarding view to fail with a server error.
A lower privileged user who holds only the privilege to read agent policies can read the entire configuration of a configured Fleet proxy. This would normally require the Fleet privilege to read settings.The proxy configuration possibly contains proxy authentication credentials and private key material that they should not be authorized to view.
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.
The Elastic Security capability that suggests existing field values while a user authors endpoint policy artifacts queries Elastic Defend event data with Kibana's internal Elasticsearch account instead of the account of the requesting user. Only Kibana feature privileges are verified, and the caller's Elasticsearch index privileges are not. An authenticated user who holds Elastic Security feature privileges but no read access to the Elastic Defend event indices can therefore retrieve field values from that data, including process command line arguments, which commonly contain tokens, credentials, connection strings, and other sensitive operational detail from protected hosts.
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 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.
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.
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.