CVE-2026-33460

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.

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.

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 with read access to connectors in one Kibana space can retrieve connector execution log information from other spaces that they are not authorized to access. The disclosed information includes connector names and identifiers, execution status, timestamps, error messages, and aggregated execution statistics.

Improper Limitation of a Pathname to a Restricted Directory (CWE-22) in the Kibana Fleet feature can lead to unauthorized resource deletion via Path Traversal. A low-privileged user with Fleet agent policies write access could cause a subsequent administrative action to act on unintended resources, such as Kibana spaces.

Insertion of Sensitive Information Into Sent Data (CWE-201) in Kibana Observability onboarding can lead to disclosure of the credentials that Kibana uses to connect to Elasticsearch. When these credentials are embedded in the Elasticsearch host URLs in the Kibana configuration, an authenticated user with the privileges to onboard Observability data can obtain them. The user can then access Elasticsearch directly with the privileges of the Kibana service account, which are outside the privileges granted to that user.

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information.

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.

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.

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.