elastic CVE Vulnerabilities & Metrics

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.

An issue was discovered where improper authorization controls affected certain queries that could allow a malicious actor to circumvent Document Level Security in Elasticsearch and get access to documents that their roles would normally not allow.

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 .

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.

APM server logs contain document body from a partially failed bulk index request. For example, in case of unavailable_shards_exception for a specific document, since the ES response line contains the document body, and that APM server logs the ES response line on error, the document is effectively logged.

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 by Elastic whereby Watcher search input logged the search query results on DEBUG log level. This could lead to raw contents of documents stored in Elasticsearch to be printed in logs. Elastic has released 8.11.2 and 7.17.16 that resolves this issue by removing this excessive logging. This issue only affects users that use Watcher and have a Watch defined that uses the search input and additionally have set the search input’s logger to DEBUG or finer, for example using: org.elasticsearch.xpack.watcher.input.search, org.elasticsearch.xpack.watcher.input, org.elasticsearch.xpack.watcher, or wider, since the loggers are hierarchical.

A high-privileged user, allowed to create custom osquery packs 17 could affect the availability of Kibana by uploading a maliciously crafted osquery pack.

An open redirect issue was discovered in Kibana that could lead to a user being redirected to an arbitrary website if they use a maliciously crafted Kibana URL.

A flaw was discovered in Elasticsearch, affecting document ingestion when an index template contains a dynamic field mapping of “passthrough” type. Under certain circumstances, ingesting documents in this index would cause a StackOverflow exception to be thrown and ultimately lead to a Denial of Service. Note that passthrough fields is an experimental feature.

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 uncaught exception in Elasticsearch >= 8.4.0 and < 8.11.1 occurs when an encrypted PDF is passed to an attachment processor through the REST API. The Elasticsearch ingest node that attempts to parse the PDF file will crash. This does not happen with password-protected PDF files or with unencrypted PDF files.

Incorrect Authorization issue exists in the API key based security model for Remote Cluster Security, which is currently in Beta, in Elasticsearch 8.10.0 and before 8.13.0. This allows a malicious user with a valid API key for a remote cluster configured to use the new Remote Cluster Security to read arbitrary documents from any index on the remote cluster, and only if they use the Elasticsearch custom transport protocol to issue requests with the target index ID, the shard ID and the document ID. None of Elasticsearch REST API endpoints are affected by this issue.

A flaw was discovered in Elasticsearch, where processing a document in a deeply nested pipeline on an ingest node could cause the Elasticsearch node to crash.

An issue was discovered whereby APM Server could log at ERROR level, a response from Elasticsearch indicating that indexing the document failed and that response would contain parts of the original document. Depending on the nature of the document that the APM Server attempted to ingest, this could lead to the insertion of sensitive or private information in the APM Server logs.

An issue was discovered in the Windows Network Drive Connector when using Document Level Security to assign permissions to a file, with explicit allow write and deny read. Although the document is not accessible to the user in Network Drive it is visible in search applications to the user.

An issue was discovered by Elastic, whereby the Detection Engine Search API does not respect Document-level security (DLS) or Field-level security (FLS) when querying the .alerts-security.alerts-{space_id} indices. Users who are authorized to call this API may obtain unauthorized access to documents if their roles are configured with DLS or FLS against the aforementioned index.

An issue was discovered by Elastic whereby sensitive information may be recorded in Kibana logs in the event of an error or in the event where debug level logging is enabled in Kibana. Elastic has released Kibana 8.11.2 which resolves this issue. The messages recorded in the log may contain Account credentials for the kibana_system user, API Keys, and credentials of Kibana end-users, Elastic Security package policy objects which can contain private keys, bearer token, and sessions of 3rd-party integrations and finally Authorization headers, client secrets, local file paths, and stack traces. The issue may occur in any Kibana instance running an affected version that could potentially receive an unexpected error when communicating to Elasticsearch causing it to include sensitive data into Kibana error logs. It could also occur under specific circumstances when debug level logging is enabled in Kibana. Note: It was found that the fix for ESA-2023-25 in Kibana 8.11.1 for a similar issue was incomplete.

An issue was discovered by Elastic whereby sensitive information may be recorded in Kibana logs in the event of an error. Elastic has released Kibana 8.11.1 which resolves this issue. The error message recorded in the log may contain account credentials for the kibana_system user, API Keys, and credentials of Kibana end-users. The issue occurs infrequently, only if an error is returned from an Elasticsearch cluster, in cases where there is user interaction and an unhealthy cluster (for example, when returning circuit breaker or no shard exceptions).

An issue was discovered by Elastic whereby Elastic Agent would log a raw event in its own logs at the WARN or ERROR level if ingesting that event to Elasticsearch failed with any 4xx HTTP status code except 409 or 429. Depending on the nature of the event that Elastic Agent attempted to ingest, this could lead to the insertion of sensitive or private information in the Elastic Agent logs. Elastic has released 8.11.3 and 7.17.16 that prevents this issue by limiting these types of logs to DEBUG level logging, which is disabled by default.

An issue was discovered by Elastic whereby Beats and Elastic Agent would log a raw event in its own logs at the WARN or ERROR level if ingesting that event to Elasticsearch failed with any 4xx HTTP status code except 409 or 429. Depending on the nature of the event that Beats or Elastic Agent attempted to ingest, this could lead to the insertion of sensitive or private information in the Beats or Elastic Agent logs. Elastic has released 8.11.3 and 7.17.16 that prevents this issue by limiting these types of logs to DEBUG level logging, which is disabled by default.

An issue was discovered by Elastic whereby the Documents API of App Search logged the raw contents of indexed documents at INFO log level. Depending on the contents of such documents, this could lead to the insertion of sensitive or private information in the App Search logs. Elastic has released 8.11.2 and 7.17.16 that resolves this issue by changing the log level at which these are logged to DEBUG, which is disabled by default.

An issue was identified that allowed the unsafe deserialization of java objects from hadoop or spark configuration properties that could have been modified by authenticated users. Elastic would like to thank Yakov Shafranovich, with Amazon Web Services for reporting this issue.

It was identified that malformed scripts used in the script processor of an Ingest Pipeline could cause an Elasticsearch node to crash when calling the Simulate Pipeline API.

A local privilege escalation issue was found with the APM Java agent, where a user on the system could attach a malicious plugin to an application running the APM Java agent. By using this vulnerability, an attacker could execute code at a potentially higher level of permissions than their user typically has access to.

An issue was found with how API keys are created with the Fleet-Server service account. When an API key is created with a service account, it is possible that the API key could be created with higher privileges than intended. Using this vulnerability, a compromised Fleet-Server service account could escalate themselves to a super-user.

The Elastic APM .NET Agent can leak sensitive HTTP header information when logging the details during an application error. Normally, the APM agent will sanitize sensitive HTTP header details before sending the information to the APM server. During an application error it is possible the headers will not be sanitized before being sent.

It was discovered that 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.

It was discovered that a user with Fleet admin permissions could upload a malicious package. Due to using an older version of the js-yaml library, this package would be loaded in an insecure manner, allowing an attacker to execute commands on the Kibana server.

Kibana contains an embedded version of the Chromium browser that the Reporting feature uses to generate the downloadable reports. If a user with permissions to generate reports is able to render arbitrary HTML with this browser, they may be able to leverage known Chromium vulnerabilities to conduct further attacks. Kibana contains a number of protections to prevent this browser from rendering arbitrary content.

An issue was identified by Elastic whereby sensitive information is recorded in Logstash logs under specific circumstances. The prerequisites for the manifestation of this issue are: * Logstash is configured to log in JSON format https://www.elastic.co/guide/en/logstash/current/running-logstash-command-line.html , which is not the default logging format. * Sensitive data is stored in the Logstash keystore and referenced as a variable in Logstash configuration.

Secret token configuration is never applied when using ECK <2.8 with APM Server >=8.0. This could lead to anonymous requests to an APM Server being accepted and the data ingested into this APM deployment.

A flaw was discovered in Elasticsearch, affecting the _search API that allowed a specially crafted query string to cause a Stack Overflow and ultimately a Denial of Service.

An issue has been identified with how Elasticsearch handled incoming requests on the HTTP layer. An unauthenticated user could force an Elasticsearch node to exit with an OutOfMemory error by sending a moderate number of malformed HTTP requests. The issue was identified by Elastic Engineering and we have no indication that the issue is known or that it is being exploited in the wild.

Elasticsearch generally filters out sensitive information and credentials before logging to the audit log. It was found that this filtering was not applied when requests to Elasticsearch use certain deprecated URIs for APIs. The impact of this flaw is that sensitive information such as passwords and tokens might be printed in cleartext in Elasticsearch audit logs. Note that audit logging is disabled by default and needs to be explicitly enabled and even when audit logging is enabled, request bodies that could contain sensitive information are not printed to the audit log unless explicitly configured.

It was discovered that when acting as TLS clients, Beats, Elastic Agent, APM Server, and Fleet Server did not verify whether the server certificate is valid for the target IP address; however, certificate signature validation is still performed. More specifically, when the client is configured to connect to an IP address (instead of a hostname) it does not validate the server certificate's IP SAN values against that IP address and certificate validation fails, and therefore the connection is not blocked as expected.

An issue was discovered by Elastic whereby sensitive information is recorded in Kibana logs in the event of an error. The issue impacts only Kibana version 8.10.0 when logging in the JSON layout or when the pattern layout is configured to log the %meta pattern. Elastic has released Kibana 8.10.1 which resolves this issue. The error object recorded in the log contains request information, which can include sensitive data, such as authentication credentials, cookies, authorization headers, query params, request paths, and other metadata. Some examples of sensitive data which can be included in the logs are account credentials for kibana_system, kibana-metricbeat, or Kibana end-users.

An issue was discovered in Fleet Server >= v8.10.0 and < v8.10.3 where Agent enrolment tokens are being inserted into the Fleet Server’s log file in plain text. These enrolment tokens could allow someone to enrol an agent into an agent policy, and potentially use that to retrieve other secrets in the policy including for Elasticsearch and third-party services. Alternatively a threat actor could potentially enrol agents to the clusters and send arbitrary events to Elasticsearch.

If Elastic Endpoint (v7.9.0 - v8.10.3) is configured to use a non-default option in which the logging level is explicitly set to debug, and when Elastic Agent is simultaneously configured to collect and send those logs to Elasticsearch, then Elastic Agent API keys can be viewed in Elasticsearch in plaintext. These API keys could be used to write arbitrary data and read Elastic Endpoint user artifacts.

Kibana version 8.7.0 contains an arbitrary code execution flaw. An attacker with All privileges to the Uptime/Synthetics feature could send a request that will attempt to execute JavaScript code. This could lead to the attacker executing arbitrary commands on the host system with permissions of the Kibana process.

Kibana versions 8.0.0 through 8.7.0 contain an arbitrary code execution flaw. An attacker with write access to Kibana yaml or env configuration could add a specific payload that will attempt to execute JavaScript code. This could lead to the attacker executing arbitrary commands on the host system with permissions of the Kibana process.

Filebeat versions through 7.17.9 and 8.6.2 have a flaw in httpjson input that allows the http request Authorization or Proxy-Authorization header contents to be leaked in the logs when debug logging is enabled.

An open redirect issue was discovered in Kibana that could lead to a user being redirected to an arbitrary website if they use a maliciously crafted Kibana URL.

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.

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.

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.

It was discovered that Kibana was not sanitizing document fields containing HTML snippets. Using this vulnerability, an attacker with the ability to write documents to an elasticsearch index could inject HTML. When the Discover app highlighted a search term containing the HTML, it would be rendered for the user.

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.

A flaw was discovered in ECE before 3.1.1 that could lead to the disclosure of the SAML signing private key used for the RBAC features, in deployment logs in the Logging and Monitoring cluster.

A flaw was discovered in ECE before 3.4.0 that might lead to the disclosure of sensitive information such as user passwords and Elasticsearch keystore settings values in logs such as the audit log or deployment logs in the Logging and Monitoring cluster. The affected APIs are PATCH /api/v1/user and PATCH /deployments/{deployment_id}/elasticsearch/{ref_id}/keystore

A local privilege escalation (LPE) issue was discovered in the ransomware canaries features of Elastic Endpoint Security for Windows, which could allow unprivileged users to elevate their privileges to those of the LocalSystem account.

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 Denial of Service flaw was discovered in Elasticsearch. Using this vulnerability, an unauthenticated attacker could forcibly shut down an Elasticsearch node with a specifically formatted network request.

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 cross-site-scripting (XSS) vulnerability was discovered in the Data Preview Pane (previously known as Index Pattern Preview Pane) which could allow arbitrary JavaScript to be executed in a victim’s browser.

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.

A flaw was discovered in Elasticsearch 7.17.0’s upgrade assistant, in which upgrading from version 6.x to 7.x would disable the in-built protections on the security index, allowing authenticated users with “*” index permissions access to this index.

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

A local privilege escalation issue was found with the APM Java agent, where a user on the system could attach a malicious file to an application running with the APM Java agent. Using this vector, a malicious or compromised user account could use the agent to run commands at a higher level of permissions than they possess. This vulnerability affects users that have set up the agent via the attacher cli 3, the attach API 2, as well as users that have enabled the profiling_inferred_spans_enabled option

An information disclosure via GET request server-side request forgery vulnerability was discovered with the Workplace Search Github Enterprise Server integration. Using this vulnerability, a malicious Workplace Search admin could use the GHES integration to view hosts that might not be publicly accessible.

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.

Elastic Enterprise Search App Search versions before 7.14.0 are vulnerable to an issue where API keys were missing authorization via an alternate route. Using this vulnerability, an authenticated attacker could utilize API keys belonging to higher privileged users.

Elastic Enterprise Search App Search versions before 7.14.0 was vulnerable to an issue where API keys were not bound to the same engines as their creator. This could lead to a less privileged user gaining access to unauthorized engines.

Elasticsearch before 7.14.0 did not apply document and field level security to searchable snapshots. This could lead to an authenticated user gaining access to information that they are unauthorized to view.

In Elasticsearch versions before 7.13.3 and 6.8.17 an uncontrolled recursion vulnerability that could lead to a denial of service attack was identified in the Elasticsearch Grok parser. A user with the ability to submit arbitrary queries to Elasticsearch could create a malicious Grok query that will crash the Elasticsearch node.

All versions of Elastic Cloud Enterprise has the Elasticsearch “anonymous” user enabled by default in deployed clusters. While in the default setting the anonymous user has no permissions and is unable to successfully query any Elasticsearch APIs, an attacker could leverage the anonymous user to gain insight into certain details of a deployed cluster.

A memory disclosure vulnerability was identified in Elasticsearch 7.10.0 to 7.13.3 error reporting. A user with the ability to submit arbitrary queries to Elasticsearch could submit a malformed query that would result in an error message returned containing previously used portions of a data buffer. This buffer could contain sensitive information such as Elasticsearch documents or authentication details.

It was discovered that OpenShift Container Platform's (OCP) distribution of Kibana could open in an iframe, which made it possible to intercept and manipulate requests. This flaw allows an attacker to trick a user into performing arbitrary actions in OCP's distribution of Kibana, such as clickjacking.

Elastic App Search versions after 7.11.0 and before 7.12.0 contain an XML External Entity Injection issue (XXE) in the App Search web crawler beta feature. Using this vector, an attacker whose website is being crawled by App Search could craft a malicious sitemap.xml to traverse the filesystem of the host running the instance and obtain sensitive files.

Kibana versions before 7.12.1 contain a denial of service vulnerability was found in the webhook actions due to a lack of timeout or a limit on the request size. An attacker with permissions to create webhook actions could drain the Kibana host connection pool, making Kibana unavailable for all other users.

In Logstash versions after 6.4.0 and before 6.8.15 and 7.12.0 a TLS certificate validation flaw was found in the monitoring feature. When specifying a trusted server CA certificate Logstash would not properly verify the certificate returned by the monitoring server. This could result in a man in the middle style attack against the Logstash monitoring data.

In Elasticsearch versions before 7.11.2 and 6.8.15 a document disclosure flaw was found when Document or Field Level Security is used. Search queries do not properly preserve security permissions when executing certain cross-cluster search queries. This could result in the search disclosing the existence of documents the attacker should not be able to view. This could result in an attacker gaining additional insight into potentially sensitive indices.

In Kibana versions before 7.12.0 and 6.8.15 a flaw in the session timeout was discovered where the xpack.security.session.idleTimeout setting is not being respected. This was caused by background polling activities unintentionally extending authenticated users sessions, preventing a user session from timing out.

Elasticsearch versions before 7.11.2 and 6.8.15 contain a document disclosure flaw was found in the Elasticsearch suggester and profile API when Document and Field Level Security are enabled. The suggester and profile API are normally disabled for an index when document level security is enabled on the index. Certain queries are able to enable the profiler and suggester which could lead to disclosing the existence of documents and fields the attacker should not be able to view.

A document disclosure flaw was found in Elasticsearch versions after 7.6.0 and before 7.11.0 when Document or Field Level Security is used. Get requests do not properly apply security permissions when executing a query against a recently updated document. This affects documents that have been updated and not yet refreshed in the index. This could result in the search disclosing the existence of documents and fields the attacker should not be able to view.

The Elastic APM agent for Go versions before 1.11.0 can leak sensitive HTTP header information when logging the details during an application panic. Normally, the APM agent will sanitize sensitive HTTP header details before sending the information to the APM server. During an application panic it is possible the headers will not be sanitized before being sent.

Elasticsearch versions before 7.10.0 and 6.8.14 have an information disclosure issue when audit logging and the emit_request_body option is enabled. The Elasticsearch audit log could contain sensitive information such as password hashes or authentication tokens. This could allow an Elasticsearch administrator to view these details.

Elasticsearch versions 7.7.0 to 7.10.1 contain an information disclosure flaw in the async search API. Users who execute an async search will improperly store the HTTP headers. An Elasticsearch user with the ability to read the .tasks index could obtain sensitive request headers of other users in the cluster. This issue is fixed in Elasticsearch 7.10.2

The elasticsearch-operator does not validate the namespace where kibana logging resource is created and due to that it is possible to replace the original openshift-logging console link (kibana console) to different one, created based on the new CR for the new kibana resource. This could lead to an arbitrary URL redirection or the openshift-logging console link damage. This flaw affects elasticsearch-operator-container versions before 4.7.

Elasticsearch versions before 6.8.13 and 7.9.2 contain a document disclosure flaw when Document or Field Level Security is used. Search queries do not properly preserve security permissions when executing certain complex queries. This could result in the search disclosing the existence of documents the attacker should not be able to view. This could result in an attacker gaining additional insight into potentially sensitive indices.

In Elasticsearch before 7.9.0 and 6.8.12 a field disclosure flaw was found when running a scrolling search with Field Level Security. If a user runs the same query another more privileged user recently ran, the scrolling search can leak fields that should be hidden. This could result in an attacker gaining additional permissions against a restricted index.

Elastic Enterprise Search before 7.9.0 contain a credential exposure flaw in the App Search interface. If a user is given the �developer� role, they will be able to view the administrator API credentials. These credentials could allow the developer user to conduct operations with the same permissions of the App Search administrator.

Kibana versions before 6.8.9 and 7.7.0 contains a stored XSS flaw in the TSVB visualization. An attacker who is able to edit or create a TSVB visualization could allow the attacker to obtain sensitive information from, or perform destructive actions, on behalf of Kibana users who edit the TSVB visualization.

The fix for CVE-2020-7009 was found to be incomplete. Elasticsearch versions from 6.7.0 to 6.8.7 and 7.0.0 to 7.6.1 contain a privilege escalation flaw if an attacker is able to create API keys and also authentication tokens. An attacker who is able to generate an API key and an authentication token can perform a series of steps that result in an authentication token being generated with elevated privileges.

Kibana versions before 6.8.9 and 7.7.0 contain a prototype pollution flaw in TSVB. An authenticated attacker with privileges to create TSVB visualizations could insert data that would cause Kibana to execute arbitrary code. This could possibly lead to an attacker executing code with the permissions of the Kibana process on the host system.

Kibana versions 6.7.0 to 6.8.8 and 7.0.0 to 7.6.2 contain a prototype pollution flaw in the Upgrade Assistant. An authenticated attacker with privileges to write to the Kibana index could insert data that would cause Kibana to execute arbitrary code. This could possibly lead to an attacker executing code with the permissions of the Kibana process on the host system.

Elastic App Search versions before 7.7.0 contain a cross site scripting (XSS) flaw when displaying document URLs in the Reference UI. If the Reference UI injects a URL into a result, that URL will be rendered by the web browser. If an attacker is able to control the contents of such a field, they could execute arbitrary JavaScript in the victim�s web browser.

Elasticsearch versions from 6.7.0 before 6.8.8 and 7.0.0 before 7.6.2 contain a privilege escalation flaw if an attacker is able to create API keys. An attacker who is able to generate an API key can perform a series of steps that result in an API key being generated with elevated privileges.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Kibana versions before 5.6.15 and 6.6.1 contain an arbitrary code execution flaw in the Timelion visualizer. An attacker with access to the Timelion application 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 Security versions 6.2.0, 6.2.1, and 6.2.2 are vulnerable to a user impersonation attack via incorrect XML canonicalization and DOM traversal. An attacker might have been able to impersonate a legitimate user if the SAML Identity Provider allows for self registration with arbitrary identifiers and the attacker can register an account which an identifier that shares a suffix with a legitimate account. Both of those conditions must be true in order to exploit this flaw.

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.

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.

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.

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.

When logging warnings regarding deprecated settings, Logstash before 5.6.6 and 6.x before 6.1.2 could inadvertently log sensitive information.

Elasticsearch before 1.6.1 allows remote attackers to execute arbitrary code via unspecified vectors involving the transport protocol. NOTE: ZDI appears to claim that CVE-2015-3253 and CVE-2015-5377 are the same vulnerability

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.

Kibana versions prior to 6.0.1 and 5.6.5 had a cross-site scripting (XSS) vulnerability via URL fields that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.

An error was found in the permission model used by X-Pack Alerting 5.0.0 to 5.6.0 whereby users mapped to certain built-in roles could create a watch that results in that user gaining elevated privileges.

An error was found in the X-Pack Security 5.3.0 to 5.5.2 privilege enforcement. If a user has either 'delete' or 'index' permissions on an index in a cluster, they may be able to issue both delete and index requests against that index.

Kibana versions prior to 5.6.1 had a cross-site scripting (XSS) vulnerability in Timelion that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.

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.

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.

Elasticsearch X-Pack Security versions 5.0.0 to 5.4.3, when enabled, can result in the Elasticsearch _nodes API leaking sensitive configuration information, such as the paths and passphrases of SSL keys that were configured as part of an authentication realm. This could allow an authenticated Elasticsearch user to improperly view these details.

In Kibana X-Pack security versions prior to 5.4.3 if a Kibana user opens a crafted Kibana URL the result could be a redirect to an improperly initialized Kibana login screen. If the user enters credentials on this screen, the credentials will appear in the URL bar. The credentials could then be viewed by untrusted parties or logged into the Kibana access logs.

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.

Kibana versions prior to 5.2.1 configured for SSL client access, file descriptors will fail to be cleaned up after certain requests and will accumulate over time until the process crashes.

With X-Pack installed, Kibana versions before 5.3.1 have an open redirect vulnerability on the login page that would enable an attacker to craft a link that redirects to an arbitrary website.

X-Pack 5.1.1 did not properly apply document and field level security to multi-search and multi-get requests so users without access to a document and/or field may have been able to access this information.

X-Pack Security 5.2.x would allow access to more fields than the user should have seen if the field level security rules used a mix of grant and exclude rules when merging multiple rules with field level security rules for the same index.

Kibana versions after and including 4.3 and before 4.6.2 are vulnerable to a cross-site scripting (XSS) attack.

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.

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.

Logstash versions prior to 2.3.3, when using the Netflow Codec plugin, a remote attacker crafting malicious Netflow v5, Netflow v9 or IPFIX packets could perform a denial of service attack on the Logstash instance. The errors resulting from these crafted inputs are not handled by the codec and can cause the Logstash process to exit.

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 prior to version 2.3.4, Elasticsearch Output plugin would log to file HTTP authorization headers which could contain sensitive information.

Kibana before 4.5.4 and 4.1.11 are vulnerable to an XSS attack that would allow an attacker to execute arbitrary JavaScript in users' browsers.

Kibana before 4.5.4 and 4.1.11 when a custom output is configured for logging in, cookies and authorization headers could be written to the log files. This information could be used to hijack sessions of other users when using Kibana behind some form of authentication such as Shield.

Kibana Reporting plugin version 2.4.0 is vulnerable to a CSRF vulnerability that could allow an attacker to generate superfluous reports whenever an authenticated Kibana user navigates to a specially-crafted page.

Kibana versions prior to 4.1.3 and 4.2.1 are vulnerable to a XSS attack.

Elastic X-Pack Security versions prior to 5.4.1 and 5.3.3 did not always correctly apply Document Level Security to index aliases. This bug could allow a user with restricted permissions to view data they should not have access to when performing certain operations against an index alias.

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.

Kibana version 5.4.0 was affected by a Cross Site Scripting (XSS) bug in the Time Series Visual Builder. This bug could allow an attacker to obtain sensitive information from Kibana users.

Elastic X-Pack Security versions 5.0.0 to 5.4.0 contain a privilege escalation bug in the run_as functionality. This bug prevents transitioning into the specified user specified in a run_as request. If a role has been created using a template that contains the _user properties, the behavior of run_as will be incorrect. Additionally if the run_as user specified does not exist, the transition will not happen.

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.

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.

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.

The Groovy scripting engine in Elasticsearch before 1.3.8 and 1.4.x before 1.4.3 allows remote attackers to bypass the sandbox protection mechanism and execute arbitrary shell commands via a crafted script.

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/.