Total
80 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-22151 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 3.1 LOW |
| It was discovered that Kibana was not validating a user supplied path, which would load .pbf files. Because of this, a malicious user could arbitrarily traverse the Kibana host to load internal files ending in the .pbf extension. | |||||
| CVE-2023-31422 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 9.0 CRITICAL |
| An issue was discovered by Elastic whereby sensitive information is recorded in Kibana logs in the event of an error. The issue impacts only Kibana version 8.10.0 when logging in the JSON layout or when the pattern layout is configured to log the %meta pattern. Elastic has released Kibana 8.10.1 which resolves this issue. The error object recorded in the log contains request information, which can include sensitive data, such as authentication credentials, cookies, authorization headers, query params, request paths, and other metadata. Some examples of sensitive data which can be included in the logs are account credentials for kibana_system, kibana-metricbeat, or Kibana end-users. | |||||
| CVE-2023-31414 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 8.8 HIGH |
| Kibana versions 8.0.0 through 8.7.0 contain an arbitrary code execution flaw. An attacker with write access to Kibana yaml or env configuration could add a specific payload that will attempt to execute JavaScript code. This could lead to the attacker executing arbitrary commands on the host system with permissions of the Kibana process. | |||||
| CVE-2023-31415 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 8.8 HIGH |
| Kibana version 8.7.0 contains an arbitrary code execution flaw. An attacker with All privileges to the Uptime/Synthetics feature could send a request that will attempt to execute JavaScript code. This could lead to the attacker executing arbitrary commands on the host system with permissions of the Kibana process. | |||||
| CVE-2022-38779 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 6.1 MEDIUM |
| 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. | |||||
| CVE-2022-38778 | 2 Decode-uri-component Project, Elastic | 2 Decode-uri-component, Kibana | 2025-12-03 | N/A | 6.5 MEDIUM |
| A flaw (CVE-2022-38900) was discovered in one of Kibana’s third party dependencies, that could allow an authenticated user to perform a request that crashes the Kibana server process. | |||||
| CVE-2021-22141 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 6.1 MEDIUM |
| An open redirect flaw was found in Kibana versions before 7.13.0 and 6.8.16. If a logged in user visits a maliciously crafted URL, it could result in Kibana redirecting the user to an arbitrary website. | |||||
| CVE-2021-37936 | 1 Elastic | 1 Kibana | 2025-12-03 | N/A | 5.4 MEDIUM |
| It was discovered that Kibana was not sanitizing document fields containing HTML snippets. Using this vulnerability, an attacker with the ability to write documents to an elasticsearch index could inject HTML. When the Discover app highlighted a search term containing the HTML, it would be rendered for the user. | |||||
| CVE-2022-23713 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.3 MEDIUM | 6.1 MEDIUM |
| A cross-site-scripting (XSS) vulnerability was discovered in the Vega Charts Kibana integration which could allow arbitrary JavaScript to be executed in a victim’s browser. | |||||
| CVE-2022-23710 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.3 MEDIUM | 6.1 MEDIUM |
| A cross-site-scripting (XSS) vulnerability was discovered in the Data Preview Pane (previously known as Index Pattern Preview Pane) which could allow arbitrary JavaScript to be executed in a victim’s browser. | |||||
| CVE-2022-23709 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.0 MEDIUM | 4.3 MEDIUM |
| A flaw was discovered in Kibana in which users with Read access to the Uptime feature could modify alerting rules. A user with this privilege would be able to create new alerting rules or overwrite existing ones. However, any new or modified rules would not be enabled, and a user with this privilege could not modify alerting connectors. This effectively means that Read users could disable existing alerting rules. | |||||
| CVE-2022-23707 | 1 Elastic | 1 Kibana | 2025-12-03 | 3.5 LOW | 5.4 MEDIUM |
| An XSS vulnerability was found in Kibana index patterns. Using this vulnerability, an authenticated user with permissions to create index patterns can inject malicious javascript into the index pattern which could execute against other users | |||||
| CVE-2022-23711 | 1 Elastic | 1 Kibana | 2025-12-03 | 5.0 MEDIUM | 5.3 MEDIUM |
| A vulnerability in Kibana could expose sensitive information related to Elastic Stack monitoring in the Kibana page source. Elastic Stack monitoring features provide a way to keep a pulse on the health and performance of your Elasticsearch cluster. Authentication with a vulnerable Kibana instance is not required to view the exposed information. The Elastic Stack monitoring exposure only impacts users that have set any of the optional monitoring.ui.elasticsearch.* settings in order to configure Kibana as a remote UI for Elastic Stack Monitoring. The same vulnerability in Kibana could expose other non-sensitive application-internal information in the page source. | |||||
| CVE-2021-37939 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.0 MEDIUM | 2.7 LOW |
| It was discovered that Kibana’s JIRA connector & IBM Resilient connector could be used to return HTTP response data on internal hosts, which may be intentionally hidden from public view. Using this vulnerability, a malicious user with the ability to create connectors, could utilize these connectors to view limited HTTP response data on hosts accessible to the cluster. | |||||
| CVE-2021-37938 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.0 MEDIUM | 4.3 MEDIUM |
| It was discovered that on Windows operating systems specifically, Kibana was not validating a user supplied path, which would load .pbf files. Because of this, a malicious user could arbitrarily traverse the Kibana host to load internal files ending in the .pbf extension. Thanks to Dominic Couture for finding this vulnerability. | |||||
| CVE-2021-22136 | 1 Elastic | 1 Kibana | 2025-12-03 | 3.6 LOW | 3.5 LOW |
| In Kibana versions before 7.12.0 and 6.8.15 a flaw in the session timeout was discovered where the xpack.security.session.idleTimeout setting is not being respected. This was caused by background polling activities unintentionally extending authenticated users sessions, preventing a user session from timing out. | |||||
| CVE-2021-22139 | 1 Elastic | 1 Kibana | 2025-12-03 | 4.0 MEDIUM | 6.5 MEDIUM |
| Kibana versions before 7.12.1 contain a denial of service vulnerability was found in the webhook actions due to a lack of timeout or a limit on the request size. An attacker with permissions to create webhook actions could drain the Kibana host connection pool, making Kibana unavailable for all other users. | |||||
| CVE-2020-7013 | 2 Elastic, Redhat | 2 Kibana, Openshift Container Platform | 2025-12-03 | 6.5 MEDIUM | 7.2 HIGH |
| Kibana versions before 6.8.9 and 7.7.0 contain a prototype pollution flaw in TSVB. An authenticated attacker with privileges to create TSVB visualizations could insert data that would cause Kibana to execute arbitrary code. This could possibly lead to an attacker executing code with the permissions of the Kibana process on the host system. | |||||
| CVE-2020-7015 | 1 Elastic | 1 Kibana | 2025-12-03 | 3.5 LOW | 5.4 MEDIUM |
| Kibana versions before 6.8.9 and 7.7.0 contains a stored XSS flaw in the TSVB visualization. An attacker who is able to edit or create a TSVB visualization could allow the attacker to obtain sensitive information from, or perform destructive actions, on behalf of Kibana users who edit the TSVB visualization. | |||||
| CVE-2020-7012 | 1 Elastic | 1 Kibana | 2025-12-03 | 6.5 MEDIUM | 8.8 HIGH |
| Kibana versions 6.7.0 to 6.8.8 and 7.0.0 to 7.6.2 contain a prototype pollution flaw in the Upgrade Assistant. An authenticated attacker with privileges to write to the Kibana index could insert data that would cause Kibana to execute arbitrary code. This could possibly lead to an attacker executing code with the permissions of the Kibana process on the host system. | |||||