Elastic Kibana vulnerabilities, page 5
205 vulnerabilities
Known vulnerabilities in Elastic Kibana, newest first, with CVSS severity, EPSS, KEV listings, ransomware use and the affected versions.
CVE-2019-7608elastickibana
EPSS score1.33%
Kibana versions before 5.6.15 and 6.6.1 had a cross-site scripting (XSS) vulnerability that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.CVE-2019-7621elastickibanaEPSS score0.71%
Kibana versions before 6.8.6 and 7.5.1 contain a cross site scripting (XSS) flaw in the coordinate and region map visualizations. An attacker with the ability to create coordinate map visualizations could create a malicious visualization. If another Kibana user views that visualization or a dashboard containing the visualization it could execute JavaScript in the victim�s browser.CVE-2019-7610elastickibanaEPSS score3.89%
Kibana versions before 6.6.1 contain an arbitrary code execution flaw in the security audit logger. If a Kibana instance has the setting xpack.security.audit.enabled set to true, an attacker could send a request that will attempt to execute javascript code. This could possibly lead to an attacker executing arbitrary commands with permissions of the Kibana process on the host system.CVE-2019-7618elasticelastic code+1EPSS score1.45%
A local file disclosure flaw was found in Elastic Code versions 7.3.0, 7.3.1, and 7.3.2. If a malicious code repository is imported into Code it is possible to read arbitrary files from the local filesystem of the Kibana instance running Code with the permission of the Kibana system user.CVE-2019-7616elastickibanaEPSS score2.40%
Kibana versions before 6.8.2 and 7.2.1 contain a server side request forgery (SSRF) flaw in the graphite integration for Timelion visualizer. An attacker with administrative Kibana access could set the timelion:graphite.url configuration option to an arbitrary URL. This could possibly lead to an attacker accessing external URL resources as the Kibana process on the host system.CVE-2019-7609elastickibana+1KEVEPSS score95.34%
Kibana versions before 5.6.15 and 6.6.1 contain an arbitrary code execution flaw in the Timelion visualizer. An attacker with access to the Timelion application could send a request that will attempt to execute javascript code. This could possibly lead to an attacker executing arbitrary commands with permissions of the Kibana process on the host system.CVE-2026-63261elastickibanaEPSS score0.47%
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-2026-63141elastickibanaEPSS score0.23%
Missing Authorization (CWE-862) in Kibana allows an authenticated user to access and modify Cloud Connect configuration and service settings without the required feature privileges, via direct requests to insufficiently protected product endpoints.CVE-2026-63142elastickibanaEPSS score0.29%
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-2026-63259elastickibanaEPSS score0.29%
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-2026-63262elastickibanaEPSS score0.28%
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-2026-63145elastickibanaEPSS score0.27%
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-2026-63139elastickibanaEPSS score0.47%
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-2026-63138elastickibanaEPSS score0.46%
Improper Neutralization of Special Elements in Data Query Logic (CWE-943) in Kibana can lead to information disclosure via NoSQL Injection (CAPEC-676). An authenticated user with access to the affected query functionality could submit specially crafted input that alters the intended query logic, returning data the user is not authorized to read.CVE-2026-63137elastickibanaEPSS score0.50%
Incorrect Authorization (CWE-863) in Kibana can lead to privilege escalation via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). A user holding workflow edit permissions could cause scheduled workflow executions to run with the privileges of a different, higher-privileged user, allowing access to and modification of data beyond their own authorization scope.CVE-2026-63143elastickibanaEPSS score0.33%
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-2026-63260elastickibanaEPSS score0.47%
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-2026-26936elastickibanaEPSS score0.54%
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).CVE-2026-26935elastickibanaEPSS score0.51%
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)CVE-2026-26938elastickibanaEPSS score0.45%
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.