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 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.

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 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 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.

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

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 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

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.

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 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 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.

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.

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.

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 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.

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.

Prior to Logstash version 5.0.1, Elasticsearch Output plugin when updating connections after sniffing, would log to file HTTP basic auth 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.

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

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 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.

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.

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.

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.

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 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.

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 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.

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.

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.

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.

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.

Vulnerability in Cloud Foundry Notifications, Cloud Foundry SMB-volume release, Cloud FOundry cf-nfs-volume release.This issue affects Notifications: All versions prior to 63; SMB-volume release: All versions prior to 3.1.19; cf-nfs-volume release: 5.0.X versions prior to 5.0.27, 7.1.X versions prior to 7.1.19.

Multiple Exposure of sensitive information to an unauthorized actor vulnerabilities [CWE-200] in FortiAIOps version 2.0.0 may allow an authenticated, remote attacker to retrieve sensitive information from the API endpoint or log files.

Couchbase Server 6.6.x through 7.x before 7.0.4 exposes Sensitive Information to an Unauthorized Actor.

A vulnerability in the logging component of Cisco Duo Authentication Proxy could allow an authenticated, remote attacker to view sensitive information in clear text on an affected system. This vulnerability exists because certain unencrypted credentials are stored. An attacker could exploit this vulnerability by accessing the logs on an affected system and obtaining credentials that they may not normally have access to. A successful exploit could allow the attacker to view sensitive information in clear text.

Potential Insertion of Sensitive Information into Jetty Log Files in multiple versions of OpenNMS Meridian and Horizon could allow disclosure of usernames and passwords if the logging level is set to debug. Users should upgrade to Meridian 2023.1.0 or newer, or Horizon 31.0.4. Meridian and Horizon installation instructions state that they are intended for installation within an organization's private networks and should not be directly accessible from the Internet.

IBM InfoSphere Information Server 11.7 stores potentially sensitive information in log files that could be read by a local user. IBM X-Force ID: 280361.

In affected versions of the Octopus Kubernetes worker or agent, sensitive variables could be written to the Kubernetes script pod log in clear-text. This was identified in Version 2 however it was determined that this could also be achieved in Version 1 and the fix was applied to both versions accordingly.

An information disclosure vulnerability exists in Yugabyte Anywhere, where the LDAP bind password is logged in plaintext within application logs. This flaw results in the unintentional exposure of sensitive information in Yugabyte Anywhere logs, potentially allowing unauthorized users with access to these logs to view the LDAP bind password. An attacker with log access could exploit this vulnerability to gain unauthorized access to the LDAP server, leading to potential exposure or compromise of LDAP-managed resources This issue affects YugabyteDB Anywhere: from 2.20.0.0 before 2.20.7.0, from 2.23.0.0 before 2.23.1.0, from 2024.1.0.0 before 2024.1.3.0.

An insertion of sensitive information into the log file in the audit log in GitHub Enterprise Server was identified that could allow an attacker to gain access to the management console. To exploit this, an attacker would need access to the log files for the GitHub Enterprise Server appliance, a backup archive created with GitHub Enterprise Server Backup Utilities, or a service which received streamed logs. This vulnerability affected all versions of GitHub Enterprise Server since 3.8 and was fixed in version 3.8.12, 3.9.7, 3.10.4, and 3.11.1. 

GitLab CE/EE, versions 8.0 up to 11.x before 11.3.11, 11.4 before 11.4.8, and 11.5 before 11.5.1, would log access tokens in the Workhorse logs, permitting administrators with access to the logs to see another user's token.

Since version 5.2.0, when using deferrable mode with the path of a Kubernetes configuration file for authentication, the Airflow worker serializes this configuration file as a dictionary and sends it to the triggerer by storing it in metadata without any encryption. Additionally, if used with an Airflow version between 2.3.0 and 2.6.0, the configuration dictionary will be logged as plain text in the triggerer service without masking. This allows anyone with access to the metadata or triggerer log to obtain the configuration file and use it to access the Kubernetes cluster. This behavior was changed in version 7.0.0, which stopped serializing the file contents and started providing the file path instead to read the contents into the trigger. Users are recommended to upgrade to version 7.0.0, which fixes this issue.

Laf is a cloud development platform. In the Laf version design, the log uses communication with k8s to quickly retrieve logs from the container without the need for additional storage. However, in version 1.0.0-beta.13 and prior, this interface does not verify the permissions of the pod, which allows authenticated users to obtain any pod logs under the same namespace through this method, thereby obtaining sensitive information printed in the logs. As of time of publication, no known patched versions exist.

CodeIgniter Shield is an authentication and authorization provider for CodeIgniter 4. In affected versions successful login attempts are recorded with the raw tokens stored in the log table. If a malicious person somehow views the data in the log table they can obtain a raw token which can then be used to send a request with that user's authority. This issue has been addressed in version 1.0.0-beta.8. Users are advised to upgrade. Users unable to upgrade should disable logging for successful login attempts by the configuration files.

Dell OpenManage Enterprise, versions 3.10, 4.0, 4.1, and 4.2, contains an Insertion of Sensitive Information into Log File vulnerability in the Backup and Restore. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to Information exposure.

CubeFS is an open-source cloud-native file storage system. CubeFS prior to version 3.3.1 was found to leak users secret keys and access keys in the logs in multiple components. When CubeCS creates new users, it leaks the users secret key. This could allow a lower-privileged user with access to the logs to retrieve sensitive information and impersonate other users with higher privileges than themselves. The issue has been patched in v3.3.1. There is no other mitigation than upgrading CubeFS.