Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding a low-privileged role can submit a specially crafted, oversized payload to an internal Kibana API, causing the Kibana process to exhaust available resources and become unresponsive to all users until the service recovers or is restarted.
Operation on a Resource after Expiration or Termination (CWE-672) in Kibana can lead to unauthorized information disclosure. A logic error in how expiration timestamps were validated allowed a time-bounded access token to remain usable beyond its intended validity window, enabling an unauthenticated actor in possession of the token to retrieve the associated content after expiration.
A path traversal vulnerability was identified in Kibana's dashboard management functionality. An authenticated user with limited permissions could create a dashboard with a specially crafted identifier. When an administrator subsequently attempts to delete this dashboard through the Kibana interface, the deletion request is redirected to an unintended internal endpoint, potentially resulting in the unauthorized deletion of user accounts or other resources. Exploitation requires an administrator to perform a delete action on the maliciously crafted dashboard object.
Improper Neutralization of Input During Web Page Generation (CWE-79) in Kibana can lead to stored HTML injection. A user with write access to an Elasticsearch index could persist crafted markup which, when subsequently rendered through an affected Kibana view by another user, was not sufficiently sanitized. Successful exploitation could result in unauthorized UI manipulation and outbound network requests issued from the viewing user's browser session.
Server-Side Request Forgery (CWE-918) in Kibana allows authenticated users with connector management privileges to bypass the operator-configured connection allowlist. By configuring a Webhook connector with a crafted target, an attacker can cause Kibana to issue outbound requests to destinations that the egress restriction controls were intended to block.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated low-privileged user can cause Kibana to consume exponentially increasing amounts of memory by submitting a specially crafted Timelion visualization expression containing deeply chained function calls. The resulting data structure grows without bound, exhausting available memory and causing the Kibana service to crash and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user can send a specially crafted compressed request payload that is processed prior to authorization checks, causing excessive memory and CPU resource consumption that can result in a Kibana instance becoming unresponsive or crashing.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana could lead to cross-tenant data interception. In this context, "tenant" refers to a user or team sharing the same Kibana deployment, not a separate Elastic Cloud organization or customer. Kibana's Fleet package installation process allowed a user holding delegated Fleet package-management privileges, without direct Elasticsearch administrative privileges, to claim a data stream identifier already in use by another tenant. Because ownership of that identifier was not verified before Fleet applied the uploaded package's generated index and ingest-pipeline settings to already-existing infrastructure, an attacker could redirect an existing tenant's data stream through infrastructure under their control. This exposed the affected tenant's subsequently ingested data to unauthorized disclosure and modification, and prevented that data from reaching its intended destination. Interception could continue even after the malicious package was removed, requiring separate remediation of the affected infrastructure.
Improper Neutralization of Input During Web Page Generation in Kibana can lead to Stored XSS via case file upload.
Improper Neutralization of Input During Web Page Generation in Kibana can lead to stored Cross-Site Scripting (XSS)
Improper Neutralization of Input During Web Page Generation in Kibana can lead to Cross-Site Scripting (XSS)
Improper neutralization of input during web page generation ('Cross-site Scripting') (CWE-79) allows an authenticated user to render HTML tags within a user’s browser via the integration package upload functionality. This issue is related to ESA-2025-17 (CVE-2025-25018) bypassing that fix to achieve HTML injection.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead denial of service via Excessive Allocation (CAPEC-130)
Incorrect Authorization (CWE-863) in Kibana can lead to privilege escalation via Input Data Manipulation (CAPEC-153). Elasticsearch cluster privilege declarations originating from integration packages were not validated before being used to mint credentials for enrolled Elastic Agents. A user holding Fleet management privileges could therefore cause every Elastic Agent on a targeted policy to receive a credential carrying arbitrarily elevated Elasticsearch cluster privileges, up to and including full cluster administration.
Improper Control of Generation of Code ('Code Injection') (CWE-94) in Fleet Server can lead to the execution of attacker-supplied script content via Code Injection (CAPEC-242). Kibana accepted an identifier for an output configuration without restricting it to safe characters. That identifier is later placed into a server-side script that Fleet Server builds as part of routine agent policy processing, so script syntax embedded in the identifier became part of the script that was executed rather than being treated as data.
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.
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.
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.
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.
Observable Discrepancy (CWE-203) in Kibana Fleet can lead to information disclosure via Excavation (CAPEC-116). Fleet removes the Elasticsearch API key value of an enrolled Elastic Agent from the responses of its agent listing capability, but that capability accepted caller-supplied filter expressions over the stored field that holds the value, and evaluated them with Kibana's own internal Elasticsearch privileges rather than the caller's. Because the number of matching agents is reported back to the caller, the difference between a matching and a non-matching filter formed a side channel from which the full API key value could be reconstructed one character at a time with a short sequence of requests.
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level privileges could submit a specially crafted request that causes Kibana to consume an unbounded amount of memory, rendering it unavailable to all users.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in the Kibana Fleet feature can lead to the unauthorized deletion of privileged resources via Path Traversal (CAPEC-126). A low-privileged user holding Fleet Settings write access could cause a subsequent administrative action to act on unintended internal resources, resulting in the deletion of privileged resources such as user accounts and other organizational assets. Exploitation requires an administrator to interact with the affected Fleet interface.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in the Kibana Fleet feature can lead to the unauthorized deletion of resources via Path Traversal (CAPEC-126). A low-privileged user could cause a subsequent action taken by a higher-privileged user in the Fleet administration interface to act on an unintended target, resulting in the deletion of resources including accounts with elevated privileges.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') (CWE-22) in the Kibana Fleet feature can lead to the unauthorized deletion of internal resources via Path Traversal (CAPEC-126). A low-privileged user holding Fleet write access could cause a subsequent administrative delete action to act on unintended internal resources. Exploitation requires an administrator to interact with the affected Fleet interface.
Incorrect Authorization (CWE-863) in the Kibana machine learning feature can lead to information disclosure via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user holding machine learning job management privileges within a single Kibana space could cause a job's saved object to become accessible across all spaces in the Kibana instance, without holding access rights to those additional spaces.
Execution with Unnecessary Privileges (CWE-250) in the Kibana machine learning feature can lead to information disclosure via Privilege Abuse (CAPEC-122). An operation available to users holding only read access to the machine learning feature was performed with an internal service identity rather than the identity of the requesting user. Such a user could therefore receive data from Elasticsearch indices they are not authorized to read. No Elasticsearch cluster or index privileges are required.
Uncaught Exception (CWE-248) in Kibana Cases can lead to denial of service via Input Data Manipulation (CAPEC-153). Malformed link syntax stored in a case comment was not rejected or sanitized when the comment was later formatted for display, and the resulting unhandled error prevented the affected case from being displayed. An authenticated user holding privileges to comment on a case could store such a comment, after which that case became inaccessible to every user who opened it until the stored comment was removed.
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.
Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Privilege Abuse (CAPEC-122). An authorization control was not applied to an internal Kibana APM integration function, allowing any authenticated Kibana user to read APM server credentials that should be restricted to users holding APM or Fleet administrative privileges.
Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user holding minimal Elasticsearch privileges could bypass Kibana feature authorization and space access controls, resulting in the unauthorized disclosure of Fleet deployment metadata from the default Kibana space.