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.
Missing Authorization (CWE-862) in Kibana can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An internal API surface within the Metrics Experience feature did not enforce a Kibana-level authorization check that an equivalent, related API in the same feature did enforce. As a result, a user who held only data-store-level read access to an index, but no corresponding Kibana feature privilege, could retrieve index-derived metric data through Kibana that the properly-authorized API would otherwise have blocked.
Incorrect Authorization (CWE-863) in Kibana can lead to sensitive information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated Kibana user with limited Fleet management privileges could access sensitive credential material that should be restricted to users with Fleet settings administrative access. Successful exploitation could allow an attacker to obtain private cryptographic key material configured for Fleet Server host connections, potentially enabling impersonation of trusted Fleet infrastructure components in deployments where those keys are actively used.
Insufficiently Protected Credentials in the Crowdstrike connector can lead to Crowdstrike credentials being leaked. A malicious user can access cached credentials from a Crowdstrike connector in another space by creating and running a Crowdstrike connector in a space to which they have access.
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)
Unintended Proxy or Intermediary ('Confused Deputy') (CWE-441) in Kibana Agent Builder can lead to privilege escalation. A non-administrative user able to edit a shared agent could cause privileged operations to be carried out under the identity of a higher-privileged user who subsequently interacts with that agent. Where the same user can also author workflows, this can extend to full administrative control of Kibana and of the Elasticsearch cluster.
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.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized disclosure, modification, and deletion of data via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user granted 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.
External Control of File Name or Path (CWE-73) combined with Server-Side Request Forgery (CWE-918) can allow an attacker to cause arbitrary file disclosure through a specially crafted credentials JSON payload in the Google Gemini connector configuration. This requires an attacker to have authenticated access with privileges sufficient to create or modify connectors (Alerts & Connectors: All). The server processes a configuration without proper validation, allowing for arbitrary network requests and for arbitrary file reads.
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.
Missing Authorization in Kibana Leading to Information Disclosure / Missing Authorization (CWE-862) in the Kibana Fleet feature can lead to information disclosure via Privilege Abuse (CAPEC-122). An authenticated user holding read-level Fleet agent privileges in one Kibana space could enumerate agent metadata and access diagnostic content belonging to agents enrolled in other Kibana spaces.
An insufficiently validated configuration field in Kibana's Cribl integration allows an authenticated user holding Kibana Fleet management privileges to inject attacker-controlled expressions into a server-side script template, resulting in an Elasticsearch ingest pipeline being written beyond the caller's authorized Elasticsearch permissions.
Missing Authorization in Kibana Leading to Unauthorized Modification of Data / Missing Authorization (CWE-862) in Kibana can lead to unauthorized modification of data via Privilege Abuse (CAPEC-122). An authenticated user holding Security read-level access in a single Kibana space could trigger Entity Analytics migration operations that perform privileged writes across all Kibana spaces, regardless of that user's actual access scope.
Incorrect Authorization (CWE-863) in Kibana can lead to information disclosure via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180).
Incorrect Authorization (CWE-863) in Kibana can lead to denial of service via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180).
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.
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.
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.