| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Logstash prior to version 2.1.2, the CSV output can be attacked via engineered input that will create malicious formulas in the CSV data. |
| Logstash 1.4.x before 1.4.5 and 1.5.x before 1.5.4 with Lumberjack output or the Logstash forwarder does not validate SSL/TLS certificates from the Logstash server, which might allow attackers to obtain sensitive information via a man-in-the-middle attack. |
| Logstash prior to version 2.3.4, Elasticsearch Output plugin would log to file HTTP authorization headers which could contain sensitive information. |
| Starting in version 5.3.0, Kibana had a cross-site scripting (XSS) vulnerability in the Discover page that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users. |
| Logstash 1.5.x before 1.5.3 and 1.4.x before 1.4.4 allows remote attackers to read communications between Logstash Forwarder agent and Logstash server. |
| The Kibana fix for CVE-2017-8451 was found to be incomplete. With X-Pack installed, Kibana versions before 6.0.1 and 5.6.5 have an open redirect vulnerability on the login page that would enable an attacker to craft a link that redirects to an arbitrary website. |
| An error was found in the X-Pack Security TLS trust manager for versions 5.0.0 to 5.5.1. If reloading the trust material fails the trust manager will be replaced with an instance that trusts all certificates. This could allow any node using any certificate to join a cluster. The proper behavior in this instance is for the TLS trust manager to deny all certificates. |
| With X-Pack installed, Kibana versions 5.0.0 and 5.0.1 were not properly authenticating requests to advanced settings and the short URL service, any authenticated user could make requests to those services regardless of their own permissions. |
| Kibana versions before 4.6.3 and 5.0.1 have an open redirect vulnerability that would enable an attacker to craft a link in the Kibana domain that redirects to an arbitrary website. |
| Directory traversal vulnerability in the file output plugin in Elasticsearch Logstash before 1.4.3 allows remote attackers to write to arbitrary files via vectors related to dynamic field references in the path option. |
| Elasticsearch Logstash 1.0.14 through 1.4.x before 1.4.2 allows remote attackers to execute arbitrary commands via a crafted event in (1) zabbix.rb or (2) nagios_nsca.rb in outputs/. |
| Cross-site scripting (XSS) vulnerability in Elasticsearch Kibana 4.x before 4.0.3 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors. |
| Cross-site request forgery (CSRF) vulnerability in Elasticsearch Kibana before 4.1.3 and 4.2.x before 4.2.1 allows remote attackers to hijack the authentication of unspecified victims via unknown vectors. |
| It was discovered by Elastic engineering that when elasticsearch-certutil CLI tool is used with the csr option in order to create a new Certificate Signing Requests, the associated private key that is generated is stored on disk unencrypted even if the --pass parameter is passed in the command invocation. |
| An issue was discovered in the quarantine feature of Elastic Endpoint Security and Elastic Endgame for Windows, which could allow unprivileged users to elevate their privileges to those of the LocalSystem account. |
| An issue was discovered in the rollback feature of Elastic Endpoint Security for Windows, which could allow unprivileged users to elevate their privileges to those of the LocalSystem account. |
| 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. |
| An issue was discovered in the rollback feature of Elastic Endpoint Security for Windows, which could allow unprivileged users to elevate their privileges to those of the LocalSystem account. |
| A flaw was discovered in Kibana, allowing view-only users of alerting to use the run_soon API making the alerting rule run continuously, potentially affecting the system availability if the alerting rule is running complex queries. |
| An allocation of resources without limits or throttling in Elasticsearch can lead to an OutOfMemoryError exception resulting in a crash via a specially crafted query using an SQL function. |
