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.

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.

An insertion of sensitive information into log file vulnerability [CWE-532] in FortiSIEM version 7.0.0, version 6.7.6 and below, version 6.6.3 and below, version 6.5.1 and below, version 6.4.2 and below, version 6.3.3 and below, version 6.2.1 and below, version 6.1.2 and below, version 5.4.0, version 5.3.3 and below may allow an authenticated user to view an encrypted ElasticSearch password via debug log files generated when FortiSIEM is configured with ElasticSearch Event Storage.

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.

An issue was discovered when using Document Level Security and the SPO "Limited Access" functionality in Elastic Sharepoint Online Python Connector. If a user is assigned limited access permissions to an item on a Sharepoint site then that user would have read permissions to all content on the Sharepoint site through Elasticsearch.

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.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana following the license change in early 2021. There is an issue with the implementation of tenant permissions in OpenSearch Dashboards where authenticated users with read-only access to a tenant can perform create, edit and delete operations on index metadata of dashboards and visualizations in that tenant, potentially rendering them unavailable. This issue does not affect index data, only metadata. Dashboards correctly enforces read-only permissions when indexing and updating documents. This issue does not provide additional read access to data users don’t already have. This issue can be mitigated by disabling the tenants functionality for the cluster. Versions 1.3.14 and 2.11.0 contain a fix for this issue.

Vulnerability in the Elasticsearch database used in the of Cisco SD-WAN vManage software could allow an unauthenticated, remote attacker to access the Elasticsearch configuration database of an affected device with the privileges of the elasticsearch user. These vulnerability is due to the presence of a static username and password configured on the vManage. An attacker could exploit this vulnerability by sending a crafted HTTP request to a reachable vManage on port 9200. A successful exploit could allow the attacker to view the Elasticsearch database content. There are workarounds that address this vulnerability.

HCL Commerce, when using Elasticsearch, can allow a remote attacker to cause a denial of service attack on the site and make administrative changes.

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.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. OpenSearch allows users to specify a local file when defining text analyzers to process data for text analysis. An issue in the implementation of this feature allows certain specially crafted queries to return a response containing the first line of text from arbitrary files. The list of potentially impacted files is limited to text files with read permissions allowed in the Java Security Manager policy configuration. OpenSearch version 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to upgrade. There are no known workarounds for this issue.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.

A Zip slip vulnerability in the Elasticsearch Connector in Liferay Portal 7.3.3 through 7.4.3.18, and Liferay DXP 7.3 before update 6, and 7.4 before update 19 allows attackers to create or overwrite existing files on the filesystem via the installation of a malicious Elasticsearch Sidecar plugin.

An issue in the Elasticsearch plugin of Appsmith v1.7.11 allows attackers to connect disallowed hosts to the AWS/GCP internal metadata endpoint.