Server-Side Request Forgery (CWE-918) in Kibana One Workflow can lead to information disclosure. An authenticated user with workflow creation and execution privileges can bypass host allowlist restrictions in the Workflows Execution Engine, potentially exposing sensitive internal endpoints and data.

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with access to the automatic import feature can submit specially crafted requests with excessively large input values. When multiple such requests are sent concurrently, the backend services become unstable, resulting in service disruption and deployment unavailability for all users.

Incorrect Authorization (CWE-863) in Kibana can lead to cross-space information disclosure via Privilege Abuse (CAPEC-122). A user with Fleet agent management privileges in one Kibana space can retrieve Fleet Server policy details from other spaces through an internal enrollment endpoint. The endpoint bypasses space-scoped access controls by using an unscoped internal client, returning operational identifiers, policy names, management state, and infrastructure linkage details from spaces the user is not authorized to access.

Incorrect Authorization (CWE-863) in Kibana can lead to information disclosure via Privilege Abuse (CAPEC-122). A user with limited Fleet privileges can exploit an internal API endpoint to retrieve sensitive configuration data, including private keys and authentication tokens, that should only be accessible to users with higher-level settings privileges. The endpoint composes its response by fetching full configuration objects and returning them directly, bypassing the authorization checks enforced by the dedicated settings APIs.

Execution with Unnecessary Privileges (CWE-250) in Kibana’s Fleet plugin debug route handlers can lead reading index data beyond their direct Elasticsearch RBAC scope via Privilege Abuse (CAPEC-122). This requires an authenticated Kibana user with Fleet sub-feature privileges (such as agents, agent policies, and settings management).

Improper Validation of Specified Quantity in Input (CWE-1284) in the Timelion visualization plugin in Kibana can lead Denial of Service via Excessive Allocation (CAPEC-130). The vulnerability allows an authenticated user to send a specially crafted Timelion expression that overwrites internal series data properties with an excessively large quantity value.

Missing Authorization (CWE-862) in Kibana’s server-side Detection Rule Management can lead to Unauthorized Endpoint Response Action Configuration (host isolation, process termination, and process suspension) via CAPEC-1 (Accessing Functionality Not Properly Constrained by ACLs). This requires an authenticated attacker with rule management privileges.

Improper Neutralization of Special Elements Used in a Template Engine (CWE-1336) exists in Workflows in Kibana which could allow an attacker to read arbitrary files from the Kibana server filesystem, and perform Server-Side Request Forgery (SSRF) via Code Injection (CAPEC-242). This requires an authenticated user who has the workflowsManagement:executeWorkflow privilege.

Uncontrolled Resource Consumption (CWE-400) in the Timelion component in Kibana can lead Denial of Service via Input Data Manipulation (CAPEC-153)

Inefficient Regular Expression Complexity (CWE-1333) in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup (CAPEC-492).

Improper Input Validation (CWE-20) in the internal Content Connectors search endpoint in Kibana can lead Denial of Service via Input Data Manipulation (CAPEC-153)

Improper Validation of Specified Quantity in Input (CWE-1284) in Kibana can allow an authenticated attacker with view-only privileges to cause a Denial of Service via Input Data Manipulation (CAPEC-153). An attacker can send a specially crafted, malformed payload causing excessive resource consumption and resulting in Kibana becoming unresponsive or crashing.

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.

Improper Input Validation (CWE-20) in Kibana's Email Connector can allow an attacker to cause an Excessive Allocation (CAPEC-130) through a specially crafted email address parameter. This requires an attacker to have authenticated access with view-level privileges sufficient to execute connector actions. The application attempts to process specially crafted email format, resulting in complete service unavailability for all users until manual restart is performed.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted bulk retrieval request. This requires an attacker to have low-level privileges equivalent to the viewer role, which grants read access to agent policies. The crafted request can cause the application to perform redundant database retrieval operations that immediately consume memory until the server crashes and becomes unavailable to all users.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or complete unavailability occurs.

Improper Authorization (CWE-285) in Kibana can lead to privilege escalation (CAPEC-233) by allowing an authenticated user to bypass intended permission restrictions via a crafted HTTP request. This allows an attacker who lacks the live queries - read permission to successfully retrieve the list of live queries.

Improper Authorization (CWE-285) in Kibana can lead to privilege escalation (CAPEC-233) by allowing an authenticated user to change a document's sharing type to "global," even though they do not have permission to do so, making it visible to everyone in the space via a crafted a HTTP request.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can allow a low-privileged authenticated user to cause Excessive Allocation (CAPEC-130) of computing resources and a denial of service (DoS) of the Kibana process via a crafted HTTP request.

Improper neutralization of input during web page generation ('Cross-site Scripting') (CWE-79) allows an unauthenticated user to embed a malicious script in content that will be served to web browsers causing cross-site scripting (XSS) (CAPEC-63) via a vulnerability a function handler in the Vega AST evaluator.

Improper neutralization of input during web page generation ('Cross-site Scripting') (CWE-79) allows an authenticated user to embed a malicious script in content that will be served to web browsers causing cross-site scripting (XSS) (CAPEC-63) via a method in Vega bypassing a previous Vega XSS mitigation.

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.

Origin Validation Error in Kibana can lead to Server-Side Request Forgery via a forged Origin HTTP header processed by the Observability AI Assistant.

Improper preservation of permissions in Elastic Defend on Windows hosts can lead to arbitrary files on the system being deleted by the Defend service running as SYSTEM. In some cases, this could result in local privilege escalation.

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 in Kibana can lead to stored Cross-Site Scripting (XSS)

Improper Neutralization of Input During Web Page Generation in Kibana can lead to Stored XSS via case file upload.

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.

Incorrect authorization in Kibana can lead to privilege escalation via the built-in reporting_user role which incorrectly has the ability to access all Kibana Spaces.

URL redirection to an untrusted site ('Open Redirect') in Kibana can lead to sending a user to an arbitrary site and server-side request forgery via a specially crafted URL.

Improper authorization in Kibana can lead to privilege abuse via a direct HTTP request to a Synthetic monitor endpoint.

A Prototype pollution vulnerability in Kibana leads to arbitrary code execution via crafted HTTP requests to machine learning and reporting endpoints.

Unrestricted upload of a file with dangerous type in Kibana can lead to arbitrary JavaScript execution in a victim’s browser (XSS) via crafted HTML and JavaScript files. The attacker must have access to the Synthetics app AND/OR have access to write to the synthetics indices.

Unrestricted file upload in Kibana allows an authenticated attacker to compromise software integrity by uploading a crafted malicious file due to insufficient server-side validation.

Prototype Pollution in Kibana can lead to code injection via unrestricted file upload combined with path traversal.

An issue has been identified where a specially crafted request sent to an Observability API could cause the kibana server to crash. A successful attack requires a malicious user to have read permissions for Observability assigned to them.

Prototype pollution in Kibana leads to arbitrary code execution via a crafted file upload and specifically crafted HTTP requests. In Kibana versions >= 8.15.0 and < 8.17.1, this is exploitable by users with the Viewer role. In Kibana versions 8.17.1 and 8.17.2 , this is only exploitable by users that have roles that contain all the following privileges: fleet-all, integrations-all, actions:execute-advanced-connectors

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted payload to a number of inputs in Kibana UI. This can be carried out by users with read access to any feature in Kibana.

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/metrics/snapshot. This can be carried out by users with read access to the Observability Metrics or Logs features in Kibana.

An issue was identified in Kibana where a user without access to Fleet can view Elastic Agent policies that could contain sensitive information. The nature of the sensitive information depends on the integrations enabled for the Elastic Agent and their respective versions.

A server side request forgery vulnerability was identified in Kibana where the /api/fleet/health_check API could be used to send requests to internal endpoints. Due to the nature of the underlying request, only endpoints available over https that return JSON could be accessed. This can be carried out by users with read access to Fleet.

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/log_entries/summary. This can be carried out by users with read access to the Observability-Logs feature in Kibana.

A deserialization issue in Kibana can lead to arbitrary code execution when Kibana attempts to parse a YAML document containing a crafted payload. A successful attack requires a malicious user to have a combination of both specific Elasticsearch indices privileges https://www.elastic.co/guide/en/elasticsearch/reference/current/defining-roles.html#roles-indices-priv  and Kibana privileges https://www.elastic.co/guide/en/fleet/current/fleet-roles-and-privileges.html  assigned to them. The following Elasticsearch indices permissions are required * write privilege on the system indices .kibana_ingest* * The allow_restricted_indices flag is set to true Any of the following Kibana privileges are additionally required * Under Fleet the All privilege is granted * Under Integration the Read or All privilege is granted * Access to the fleet-setup privilege is gained through the Fleet Server’s service account token

A deserialization issue in Kibana can lead to arbitrary code execution when Kibana attempts to parse a YAML document containing a crafted payload. This issue only affects users that use Elastic Security’s built-in AI tools https://www.elastic.co/guide/en/security/current/ai-for-security.html  and have configured an Amazon Bedrock connector https://www.elastic.co/guide/en/security/current/assistant-connect-to-bedrock.html .

A flaw allowing arbitrary code execution was discovered in Kibana. An attacker with access to ML and Alerting connector features, as well as write access to internal ML indices can trigger a prototype pollution vulnerability, ultimately leading to arbitrary code execution.

An issue was discovered in Kibana where a user with Viewer role could cause a Kibana instance to crash by sending a large number of maliciously crafted requests to a specific endpoint.

A high-privileged user, allowed to create custom osquery packs 17 could affect the availability of Kibana by uploading a maliciously crafted osquery pack.

An open redirect issue was discovered in Kibana that could lead to a user being redirected to an arbitrary website if they use a maliciously crafted Kibana URL.

A flaw was discovered in Kibana, allowing view-only users of alerting to use the run_soon API making the alerting rule run continuously, potentially affecting the system availability if the alerting rule is running complex queries.

An issue was discovered by Elastic, whereby the Detection Engine Search API does not respect Document-level security (DLS) or Field-level security (FLS) when querying the .alerts-security.alerts-{space_id} indices. Users who are authorized to call this API may obtain unauthorized access to documents if their roles are configured with DLS or FLS against the aforementioned index.