Vulnerabilities (CVE)

Filtered by vendor Elastic Subscribe
Total 145 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2019-7618 1 Elastic 1 Kibana 2024-02-04 3.5 LOW 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-2019-7620 1 Elastic 1 Logstash 2024-02-04 5.0 MEDIUM 7.5 HIGH
Logstash versions before 7.4.1 and 6.8.4 contain a denial of service flaw in the Logstash Beats input plugin. An unauthenticated user who is able to connect to the port the Logstash beats input could send a specially crafted network packet that would cause Logstash to stop responding.
CVE-2019-7619 1 Elastic 1 Elasticsearch 2024-02-04 5.0 MEDIUM 5.3 MEDIUM
Elasticsearch versions 7.0.0-7.3.2 and 6.7.0-6.8.3 contain a username disclosure flaw was found in the API Key service. An unauthenticated attacker could send a specially crafted request and determine if a username exists in the Elasticsearch native realm.
CVE-2019-7611 1 Elastic 1 Elasticsearch 2024-02-04 6.8 MEDIUM 8.1 HIGH
A permission issue was found in Elasticsearch versions before 5.6.15 and 6.6.1 when Field Level Security and Document Level Security are disabled and the _aliases, _shrink, or _split endpoints are used . If the elasticsearch.yml file has xpack.security.dls_fls.enabled set to false, certain permission checks are skipped when users perform one of the actions mentioned above, to make existing data available under a new index/alias name. This could result in an attacker gaining additional permissions against a restricted index.
CVE-2019-7614 1 Elastic 1 Elasticsearch 2024-02-04 4.3 MEDIUM 5.9 MEDIUM
A race condition flaw was found in the response headers Elasticsearch versions before 7.2.1 and 6.8.2 returns to a request. On a system with multiple users submitting requests, it could be possible for an attacker to gain access to response header containing sensitive data from another user.
CVE-2019-7612 2 Elastic, Netapp 2 Logstash, Active Iq Performance Analytics Services 2024-02-04 5.0 MEDIUM 9.8 CRITICAL
A sensitive data disclosure flaw was found in the way Logstash versions before 5.6.15 and 6.6.1 logs malformed URLs. If a malformed URL is specified as part of the Logstash configuration, the credentials for the URL could be inadvertently logged as part of the error message.
CVE-2019-7616 1 Elastic 1 Kibana 2024-02-04 4.0 MEDIUM 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-2019-7613 1 Elastic 1 Winlogbeat 2024-02-04 5.0 MEDIUM 7.5 HIGH
Winlogbeat versions before 5.6.16 and 6.6.2 had an insufficient logging flaw. An attacker able to inject certain characters into a log entry could prevent Winlogbeat from recording the event.
CVE-2019-7608 1 Elastic 1 Kibana 2024-02-04 4.3 MEDIUM 6.1 MEDIUM
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-2019-7615 1 Elastic 1 Apm-agent-ruby 2024-02-04 5.8 MEDIUM 7.4 HIGH
A TLS certificate validation flaw was found in Elastic APM agent for Ruby versions before 2.9.0. When specifying a trusted server CA certificate via the 'server_ca_cert' setting, the Ruby agent would not properly verify the certificate returned by the APM server. This could result in a man in the middle style attack against the Ruby agent.
CVE-2019-7610 1 Elastic 1 Kibana 2024-02-04 9.3 HIGH 9.0 CRITICAL
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-2019-7617 1 Elastic 1 Apm Agent 2024-02-04 6.4 MEDIUM 7.2 HIGH
When the Elastic APM agent for Python versions before 5.1.0 is run as a CGI script, there is a variable name clash flaw if a remote attacker can control the proxy header. This could result in an attacker redirecting collected APM data to a proxy of their choosing.
CVE-2018-17246 2 Elastic, Redhat 2 Kibana, Openshift Container Platform 2024-02-04 7.5 HIGH 9.8 CRITICAL
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-2018-3829 1 Elastic 1 Elastic Cloud Enterprise 2024-02-04 3.5 LOW 5.3 MEDIUM
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.
CVE-2018-3825 1 Elastic 1 Elastic Cloud Enterprise 2024-02-04 4.3 MEDIUM 5.9 MEDIUM
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.
CVE-2018-3827 1 Elastic 1 Azure Repository 2024-02-04 4.3 MEDIUM 8.1 HIGH
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.
CVE-2018-17247 1 Elastic 1 Elasticsearch 2024-02-04 4.3 MEDIUM 5.9 MEDIUM
Elasticsearch Security versions 6.5.0 and 6.5.1 contain an XXE flaw in Machine Learning's find_file_structure API. If a policy allowing external network access has been added to Elasticsearch's Java Security Manager then an attacker could send a specially crafted request capable of leaking content of local files on the Elasticsearch node. This could allow a user to access information that they should not have access to.
CVE-2018-17244 1 Elastic 1 Elasticsearch 2024-02-04 4.0 MEDIUM 6.5 MEDIUM
Elasticsearch Security versions 6.4.0 to 6.4.2 contain an error in the way request headers are applied to requests when using the Active Directory, LDAP, Native, or File realms. A request may receive headers intended for another request if the same username is being authenticated concurrently; when used with run as, this can result in the request running as the incorrect user. This could allow a user to access information that they should not have access to.
CVE-2018-3831 1 Elastic 1 Elasticsearch 2024-02-04 4.0 MEDIUM 8.8 HIGH
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.
CVE-2018-3824 1 Elastic 3 Elasticsearch X-pack, Kibana X-pack, Logstash X-pack 2024-02-04 4.3 MEDIUM 6.1 MEDIUM
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.