Vulnerabilities

An issue was identified in Fleet Server where Fleet policies that could contain sensitive information were logged on INFO and ERROR log levels. The nature of the sensitive information largely depends on the integrations enabled.

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/metrics/snapshot. This can be carried out by users with read access to the Observability Metrics or Logs features in Kibana.

Improper handling of alternate encoding occurs when Elastic Defend on Windows systems attempts to scan a file or process encoded as a multibyte character. This leads to an uncaught exception causing Elastic Defend to crash which in turn will prevent it from quarantining the file and/or killing the process.

An issue was identified in Kibana where a user without access to Fleet can view Elastic Agent policies that could contain sensitive information. The nature of the sensitive information depends on the integrations enabled for the Elastic Agent and their respective versions.

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 allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted payload to a number of inputs in Kibana UI. This can be carried out by users with read access to any feature in Kibana.

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. A successful attack requires a malicious user to have a combination of both specific Elasticsearch indices privileges https://www.elastic.co/guide/en/elasticsearch/reference/current/defining-roles.html#roles-indices-priv  and Kibana privileges https://www.elastic.co/guide/en/fleet/current/fleet-roles-and-privileges.html  assigned to them. The following Elasticsearch indices permissions are required * write privilege on the system indices .kibana_ingest* * The allow_restricted_indices flag is set to true Any of the following Kibana privileges are additionally required * Under Fleet the All privilege is granted * Under Integration the Read or All privilege is granted * Access to the fleet-setup privilege is gained through the Fleet Server’s service account token

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.

An issue was discovered whereby Elastic Agent will leak secrets from the agent policy elastic-agent.yml only when the log level is configured to debug. By default the log level is set to info, where no leak occurs.

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 in Kibana where a user with Viewer role could cause a Kibana instance to crash by sending a large number of maliciously crafted requests to a specific endpoint.

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.

It was identified that under certain specific preconditions, an API key that was originally created with a specific privileges could be subsequently used to create new API keys that have elevated privileges.

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 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.

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.

It was identified that if a cross-cluster API key https://www.elastic.co/guide/en/elasticsearch/reference/8.14/security-api-create-cross-cluster-api-key.html#security-api-create-cross-cluster-api-key-request-body  restricts search for a given index using the query or the field_security parameter, and the same cross-cluster API key also grants replication for the same index, the search restrictions are not enforced during cross cluster search operations and search results may include documents and terms that should not be returned. This issue only affects the API key based security model for remote clusters https://www.elastic.co/guide/en/elasticsearch/reference/8.14/remote-clusters.html#remote-clusters-security-models  that was previously a beta feature and is released as GA with 8.14.0

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.

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.

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.

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.

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.

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.

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.

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 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.

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 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.

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.