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.

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 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 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.

Improper restriction of environment variables in Elastic Defend can lead to exposure of sensitive information such as API keys and tokens via automatic transmission of unfiltered environment variables to the stack.

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.

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.

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

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.

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.

Exposure of Sensitive Information vulnerability in Fingerprint TA prior to SMR Feb-2023 Release 1 allows attackers to access the memory address information via log.

On Juniper ATP, the API key and the device key are logged in a file readable by authenticated local users. These keys are used for performing critical operations on the WebUI interface. This issue affects Juniper ATP 5.0 versions prior to 5.0.3.

In Spring Vault, versions 3.0.x prior to 3.0.2 and versions 2.3.x prior to 2.3.3 and older versions, an application is vulnerable to insertion of sensitive information into a log file when it attempts to revoke a Vault batch token.

Sensitive data could be exposed in logs of cloud-init before version 23.1.2. An attacker could use this information to find hashed passwords and possibly escalate their privilege.

Insertion of Sensitive Information into log file vulnerability in NGINX Agent. NGINX Agent version 2.0 before 2.23.3 inserts sensitive information into a log file. An authenticated attacker with local access to read agent log files may gain access to private keys. This issue is only exposed when the non-default trace level logging is enabled. Note: NGINX Agent is included with NGINX Instance Manager and used in conjunction with NGINX API Connectivity Manager, and NGINX Management Suite Security Monitoring.

Dell PowerScale OneFS versions 9.4.0.x through 9.7.0.x contains an insertion of sensitive information into log file vulnerability. A low privileged local attacker could potentially exploit this vulnerability, leading to sensitive information disclosure, escalation of privileges.

A local disclosure of sensitive information vulnerability was discovered in HPE OneView version(s): Prior to 7.0 or 6.60.01. A low privileged user could locally exploit this vulnerability to disclose sensitive information resulting in a complete loss of confidentiality, integrity, and availability. To exploit this vulnerability, HPE OneView must be configured with credential access to external repositories. HPE has provided a software update to resolve this vulnerability in HPE OneView.

Dell Grab for Windows, versions 5.0.4 and below, contains a cleartext storage of sensitive information vulnerability in its appsync module. An authenticated local attacker could potentially exploit this vulnerability, leading to information disclosure that could be used to access the appsync application with elevated privileges.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.1 stores potentially sensitive information in log files that could be read by a local user. IBM X-Force ID: 281677.

GoReleaser builds Go binaries for several platforms, creates a GitHub release and then pushes a Homebrew formula to a tap repository. `goreleaser release --debug` log shows secret values used in the in the custom publisher. This vulnerability is fixed in 1.24.0.

IBM QRadar Suite 1.10.12.0 through 1.10.17.0 and IBM Cloud Pak for Security 1.10.0.0 through 1.10.11.0 stores potentially sensitive information in log files that could be read by a local user. IBM X-Force ID: 279975.

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.

Sensitive host secret disclosed in cmk-update-agent.log file in Tribe29's Checkmk <= 2.1.0p13, Checkmk <= 2.0.0p29, and all versions of Checkmk 1.6.0 (EOL) allows an attacker to gain access to the host secret through the unprotected agent updater log file.

Insertion of sensitive information into a log file in Ivanti Connect Secure before version 22.7R2.8 allows a local authenticated attacker to obtain that information.

Insertion of sensitive information into log file for some Intel Unison software may allow an authenticated user to potentially enable information disclosure via local access.

Insertion of sensitive information into a log file in Ivanti Connect Secure before version 22.7R2.8 and Ivanti Policy Secure before version 22.7R1.5 allows a local authenticated attacker to obtain that information.

An issue was discovered in AdGuard plugin before 1.11.22 for Safari on MacOS. AdGaurd verbosely logged each url that Safari accessed when the plugin was active. These logs went into the MacOS general logs for any unsandboxed process to read. This may be disabled in version 1.11.22.

There is an information leakage vulnerability in FusionCompute 6.5.1, eCNS280_TD V100R005C00 and V100R005C10. Due to the improperly storage of specific information in the log file, the attacker can obtain the information when a user logs in to the device. Successful exploit may cause the information leak.

Under certain log settings the IAM or CORE service will log credentials in the iam logfile in Fortra Application Hub (Formerly named Helpsystems One) prior to version 1.3

A vulnerability was found in OpenShift Assisted Installer. During generation of the Discovery ISO, image pull secrets were leaked as plaintext in the installation logs. An authenticated user could exploit this by re-using the image pull secret to pull container images from the registry as the associated user.

RabbitMQ is a messaging and streaming broker. In versions 3.13.7 and prior, RabbitMQ is logging authorization headers in plaintext encoded in base64. When querying RabbitMQ api with HTTP/s with basic authentication it creates logs with all headers in request, including authorization headers which show base64 encoded username:password. This is easy to decode and afterwards could be used to obtain control to the system depending on credentials. This issue has been patched in version 4.0.8.

In versions bundled with BIG-IP APM 12.1.0-12.1.5 and 11.6.1-11.6.5.2, Edge Client for Linux exposes full session ID in the local log files.

Dell EMC SCG 5.00.00.10 and earlier, contain a sensitive information disclosure vulnerability. A local malicious user may exploit this vulnerability to read sensitive information and use it.

Dell EMC PowerScale OneFS versions 8.2.x, 9.1.0.x, and 9.1.1.1 contain a sensitive information exposure vulnerability in log files. A local malicious user with ISI_PRIV_LOGIN_SSH, ISI_PRIV_LOGIN_CONSOLE, or ISI_PRIV_SYS_SUPPORT privileges may exploit this vulnerability to access sensitive information. If any third-party consumes those logs, the same sensitive information is available to those systems as well.

When instructing cloud-init to set a random password for a new user account, versions before 21.2 would write that password to the world-readable log file /var/log/cloud-init-output.log. This could allow a local user to log in as another user.