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.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. OpenSearch allows users to specify a local file when defining text analyzers to process data for text analysis. An issue in the implementation of this feature allows certain specially crafted queries to return a response containing the first line of text from arbitrary files. The list of potentially impacted files is limited to text files with read permissions allowed in the Java Security Manager policy configuration. OpenSearch version 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to upgrade. There are no known workarounds for this issue.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.

OpenSearch Security is a plugin for OpenSearch that offers encryption, authentication and authorization. Versions 2.0.0.0 and 2.1.0.0 of the security plugin are affected by an information disclosure vulnerability. Requests to an OpenSearch cluster configured with advanced access control features document level security (DLS), field level security (FLS), and/or field masking will not be filtered when the query's search pattern matches an aliased index. OpenSearch Dashboards creates an alias to `.kibana` by default, so filters with the index pattern of `*` to restrict access to documents or fields will not be applied. This issue allows requests to access sensitive information when customer have acted to restrict access that specific information. OpenSearch 2.2.0, which is compatible with OpenSearch Security 2.2.0.0, contains the fix for this issue. There is no recommended work around.

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.

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.

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.

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

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.

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.