Filtered by vendor Elastic Subscriptions
Filtered by product Kibana Subscriptions
Total 75 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2019-7621 1 Elastic 1 Kibana 2024-11-21 5.4 Medium
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-2019-7618 1 Elastic 1 Kibana 2024-11-21 6.5 Medium
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-2019-7616 1 Elastic 1 Kibana 2024-11-21 4.9 Medium
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-2019-7610 2 Elastic, Redhat 2 Kibana, Openshift 2024-11-21 N/A
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-2019-7608 2 Elastic, Redhat 2 Kibana, Openshift 2024-11-21 N/A
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-2018-3830 2 Elastic, Redhat 3 Kibana, Openshift, Openshift Container Platform 2024-11-21 6.1 Medium
Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting (XSS) vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-3821 1 Elastic 1 Kibana 2024-11-21 6.1 Medium
Kibana versions after 5.1.1 and before 5.6.7 and 6.1.3 had a cross-site scripting (XSS) vulnerability in the tag cloud visualization that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-3820 1 Elastic 1 Kibana 2024-11-21 6.1 Medium
Kibana versions after 6.1.0 and before 6.1.3 had a cross-site scripting (XSS) vulnerability in labs visualizations that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-3819 1 Elastic 1 Kibana 2024-11-21 N/A
The fix in Kibana for ESA-2017-23 was incomplete. With X-Pack security enabled, Kibana versions before 6.1.3 and 5.6.7 have an open redirect vulnerability on the login page that would enable an attacker to craft a link that redirects to an arbitrary website.
CVE-2018-3818 1 Elastic 1 Kibana 2024-11-21 N/A
Kibana versions 5.1.1 to 6.1.2 and 5.6.6 had a cross-site scripting (XSS) vulnerability via the colored fields formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-17246 2 Elastic, Redhat 3 Kibana, Openshift, Openshift Container Platform 2024-11-21 N/A
Kibana versions before 6.4.3 and 5.6.13 contain an arbitrary file inclusion flaw in the Console plugin. An attacker with access to the Kibana Console API 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-2018-17245 1 Elastic 1 Kibana 2024-11-21 N/A
Kibana versions 4.0 to 4.6, 5.0 to 5.6.12, and 6.0 to 6.4.2 contain an error in the way authorization credentials are used when generating PDF reports. If a report requests external resources plaintext credentials are included in the HTTP request that could be recovered by an external resource provider.
CVE-2024-37285 1 Elastic 1 Kibana 2024-11-15 9.1 Critical
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
CVE-2024-37288 1 Elastic 1 Kibana 2024-09-17 9.9 Critical
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 .
CVE-2024-37287 1 Elastic 1 Kibana 2024-08-22 9.1 Critical
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.