Total
185 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-63139 | 1 Elastic | 1 Kibana | 2026-08-06 | N/A | 6.5 MEDIUM |
| Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated low-privileged user can exploit an uncontrolled resource consumption vulnerability in Kibana's Canvas functionality by sending a specially crafted request, causing the Kibana server process to terminate and resulting in a denial of service for all users of the affected Kibana instance. | |||||
| CVE-2026-63142 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 5.0 MEDIUM |
| Incomplete List of Disallowed Inputs (CWE-184) in Kibana can allow an authenticated attacker with access to the Reporting feature to bypass outbound request restrictions configured by an administrator, causing the reporting service to send requests to network destinations that should be denied by the configured security policy. | |||||
| CVE-2026-63143 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 4.3 MEDIUM |
| Missing Authorization (CWE-862) in Kibana can lead to unauthorized information disclosure via Privilege Abuse (CAPEC-122). A user with limited feature privileges can access workflow execution outputs in their Kibana space without the authorization required to do so through the documented API. The accessible data may include sensitive information returned by workflow steps, such as results from connected data sources that the caller would not otherwise be authorized to access. | |||||
| CVE-2026-63145 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 4.3 MEDIUM |
| Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly. | |||||
| CVE-2026-63259 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 4.3 MEDIUM |
| Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access. | |||||
| CVE-2026-63260 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 6.5 MEDIUM |
| Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users. | |||||
| CVE-2026-63261 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 6.5 MEDIUM |
| Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users. | |||||
| CVE-2026-63262 | 1 Elastic | 1 Kibana | 2026-08-03 | N/A | 4.3 MEDIUM |
| Missing Authorization (CWE-862) in Kibana can lead to unauthorized cross-space information disclosure via user-supplied input that circumvents space-level access control. | |||||
| CVE-2026-4498 | 1 Elastic | 1 Kibana | 2026-07-25 | N/A | 7.7 HIGH |
| 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). | |||||
| CVE-2026-33460 | 1 Elastic | 1 Kibana | 2026-07-24 | N/A | 4.3 MEDIUM |
| 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. | |||||
| CVE-2026-33458 | 1 Elastic | 1 Kibana | 2026-07-24 | N/A | 6.3 MEDIUM |
| 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. | |||||
| CVE-2026-33459 | 1 Elastic | 1 Kibana | 2026-07-24 | N/A | 6.5 MEDIUM |
| 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. | |||||
| CVE-2026-33461 | 1 Elastic | 1 Kibana | 2026-07-24 | N/A | 7.7 HIGH |
| 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. | |||||
| CVE-2026-49093 | 1 Elastic | 1 Kibana | 2026-07-21 | N/A | 6.3 MEDIUM |
| Server-Side Request Forgery (CWE-918) in Kibana can allow an authenticated user with connector management privileges to bypass the operator-configured connector allowlist, causing the Kibana server to issue outbound requests to destinations the egress controls were intended to block. | |||||
| CVE-2026-49094 | 1 Elastic | 1 Kibana | 2026-07-21 | N/A | 6.5 MEDIUM |
| Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered. | |||||
| CVE-2026-49095 | 1 Elastic | 1 Kibana | 2026-07-21 | N/A | 6.5 MEDIUM |
| Improper Input Validation (CWE-20) in the Kibana Fleet agent policy management feature can lead to privilege escalation. An authenticated user with Fleet management privileges can manipulate agent policy configuration by injecting values into a configuration override mechanism that is not adequately validated. An attacker can cause Elastic Agents to be issued API keys with elevated Elasticsearch privileges, potentially granting unauthorized read and write access to sensitive Elasticsearch security indices beyond what is intended for the Fleet management role. | |||||
| CVE-2026-49091 | 1 Elastic | 1 Kibana | 2026-07-02 | N/A | 8.0 HIGH |
| Improper Output Neutralization for Logs (CWE-117) in Kibana can lead to log injection via Log Injection-Tampering-Forging (CAPEC-93). An attacker can supply specially crafted input that is written to log files without proper neutralization. When the log files are subsequently viewed in a terminal that interprets control sequences, the injected content may alter the displayed log data. | |||||
| CVE-2026-49087 | 1 Elastic | 1 Kibana | 2026-07-02 | N/A | 6.5 MEDIUM |
| 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 can submit a specially crafted bulk deletion request that causes excessive resource consumption, which may render Kibana unavailable. | |||||
| CVE-2026-49088 | 1 Elastic | 1 Kibana | 2026-07-02 | N/A | 4.4 MEDIUM |
| Insertion of Sensitive Information into Log File (CWE-532) in Kibana can lead to information disclosure. When the optional application performance monitoring (APM) instrumentation is enabled, sensitive request header values could be recorded in application logs, where they may be accessible to operators with log access. | |||||
| CVE-2026-56151 | 1 Elastic | 1 Kibana | 2026-07-02 | N/A | 6.5 MEDIUM |
| Improper Input Validation (CWE-20) in Kibana can lead to a denial of service via Input Data Manipulation (CAPEC-153). An authenticated user can submit a specially crafted Fleet policy input that is not correctly validated, which can render Fleet agent, server, and policy management functionality unavailable. | |||||