X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. Users with manage_ml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructive actions on behalf of other ML users viewing the results of the jobs.
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive information from or perform destructive actions on behalf of that other ML user.
In Elastic Cloud Enterprise (ECE) versions prior to 1.1.4 a default master encryption key is used in the process of granting ZooKeeper access to Elasticsearch clusters. Unless explicitly overwritten, this master key is predictable across all ECE deployments. If an attacker can connect to ZooKeeper directly they would be able to access configuration information of other tenants if their cluster ID is known.
In Elasticsearch versions 6.0.0-beta1 to 6.2.4 a disclosure flaw was found in the _snapshot API. When the access_key and security_key parameters are set using the _snapshot API they can be exposed as plain text by users able to query the _snapshot API.
A sensitive data disclosure flaw was found in the Elasticsearch repository-azure (formerly elasticsearch-cloud-azure) plugin. When the repository-azure plugin is set to log at TRACE level Azure credentials can be inadvertently logged.
Elastic Cloud Enterprise (ECE) versions prior to 1.1.4 contain an information exposure vulnerability. It was discovered that certain exception conditions would result in encryption keys, passwords, and other security sensitive headers being leaked to the allocator logs. An attacker with access to the logging cluster may obtain leaked credentials and perform authenticated actions using these credentials.
In Elastic Cloud Enterprise (ECE) versions prior to 1.1.4 it was discovered that a user could scale out allocators on new hosts with an invalid roles token. An attacker with access to the previous runner ID and IP address of the coordinator-host could add a allocator to an existing ECE install to gain access to other clusters data.
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.
Elasticsearch Alerting and Monitoring in versions before 6.4.1 or 5.6.12 have an information disclosure issue when secrets are configured via the API. The Elasticsearch _cluster/settings API, when queried, could leak sensitive configuration information such as passwords, tokens, or usernames. This could allow an authenticated Elasticsearch user to improperly view these details.
An exploitable command injection vulnerability exists in the web management interface used by the Foscam C1 Indoor HD Camera running application firmware 184.108.40.206. A specially crafted HTTP request can allow for a user to inject arbitrary shell characters during the SoftAP configuration resulting in command injection. An attacker can simply send an HTTP request to the device to trigger this vulnerability.