Hertzbeat is an open source, real-time monitoring system. Hertzbeat uses aviatorscript to evaluate alert expressions. The alert expressions are supposed to be some simple expressions. However, due to improper sanitization for alert expressions in version prior to 1.4.1, a malicious user can use a crafted alert expression to execute any command on hertzbeat server. A malicious user who has access to alert define function can execute any command in hertzbeat instance. This issue is fixed in version 1.4.1.

Malicious code injection in Apache Ambari in prior to 2.7.8. Users are recommended to upgrade to version 2.7.8, which fixes this issue. Impact: A Cluster Operator can manipulate the request by adding a malicious code injection and gain a root over the cluster main host.

Improper Control of Dynamically-Managed Code Resources, Unrestricted Upload of File with Dangerous Type, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Solr.This issue affects Apache Solr: from 6.0.0 through 8.11.2, from 9.0.0 before 9.4.1. In the affected versions, Solr ConfigSets accepted Java jar and class files to be uploaded through the ConfigSets API. When backing up Solr Collections, these configSet files would be saved to disk when using the LocalFileSystemRepository (the default for backups). If the backup was saved to a directory that Solr uses in its ClassPath/ClassLoaders, then the jar and class files would be available to use with any ConfigSet, trusted or untrusted. When Solr is run in a secure way (Authorization enabled), as is strongly suggested, this vulnerability is limited to extending the Backup permissions with the ability to add libraries. Users are recommended to upgrade to version 8.11.3 or 9.4.1, which fix the issue. In these versions, the following protections have been added: * Users are no longer able to upload files to a configSet that could be executed via a Java ClassLoader. * The Backup API restricts saving backups to directories that are used in the ClassLoader.

In Apache Linkis <=1.5.0, due to the lack of effective filtering of parameters, an attacker configuring malicious db2 parameters in the DataSource Manager Module will result in jndi injection. Therefore, the parameters in the DB2 URL should be blacklisted.  This attack requires the attacker to obtain an authorized account from Linkis before it can be carried out. Versions of Apache Linkis <=1.5.0 will be affected. We recommend users upgrade the version of Linkis to version 1.6.0.

A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue.

XXE in the XML Format Plugin in Apache Drill version 1.19.0 and greater allows a user to read any file on a remote file system or execute commands via a malicious XML file. Users are recommended to upgrade to version 1.21.2, which fixes this issue.

Apache Druid allows users to read data from other database systems using JDBC. This functionality is to allow trusted users with the proper permissions to set up lookups or submit ingestion tasks. The MySQL JDBC driver supports certain properties, which, if left unmitigated, can allow an attacker to execute arbitrary code from a hacker-controlled malicious MySQL server within Druid server processes. This issue was addressed in Apache Druid 0.20.2

While investigating a bug report on Apache Superset, it was determined that an authenticated user could craft requests via a number of templated text fields in the product that would allow arbitrary access to Python’s `os` package in the web application process in versions < 0.37.1. It was thus possible for an authenticated user to list and access files, environment variables, and process information. Additionally it was possible to set environment variables for the current process, create and update files in folders writable by the web process, and execute arbitrary programs accessible by the web process. All other operations available to the `os` package in Python were also available, even if not explicitly enumerated in this CVE.

In Apache DolphinScheduler before 1.3.6 versions, authorized users can use SQL injection in the data source center. (Only applicable to MySQL data source with internal login account password)

In Apache Hadoop 2.2.0 to 2.10.1, 3.0.0-alpha1 to 3.1.4, 3.2.0 to 3.2.2, and 3.3.0 to 3.3.1, a user who can escalate to yarn user can possibly run arbitrary commands as root user. Users should upgrade to Apache Hadoop 2.10.2, 3.2.3, 3.3.2 or higher.

An attacker that is able to modify Velocity templates may execute arbitrary Java code or run arbitrary system commands with the same privileges as the account running the Servlet container. This applies to applications that allow untrusted users to upload/modify velocity templates running Apache Velocity Engine versions up to 2.2.

Apache Druid includes the ability to execute user-provided JavaScript code embedded in various types of requests. This functionality is intended for use in high-trust environments, and is disabled by default. However, in Druid 0.20.0 and earlier, it is possible for an authenticated user to send a specially-crafted request that forces Druid to run user-provided JavaScript code for that request, regardless of server configuration. This can be leveraged to execute code on the target machine with the privileges of the Druid server process.

An issue was found in Apache Airflow versions 1.10.10 and below. A remote code/command injection vulnerability was discovered in one of the example DAGs shipped with Airflow which would allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use). If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable.

A possible security vulnerability has been identified in Apache Kafka. This requires access to a alterConfig to the cluster resource, or Kafka Connect worker, and the ability to create/modify connectors on it with an arbitrary Kafka client SASL JAAS config and a SASL-based security protocol, which has been possible on Kafka clusters since Apache Kafka 2.0.0 (Kafka Connect 2.3.0). When configuring the broker via config file or AlterConfig command, or connector via the Kafka Kafka Connect REST API, an authenticated operator can set the `sasl.jaas.config` property for any of the connector's Kafka clients to "com.sun.security.auth.module.LdapLoginModule", which can be done via the `producer.override.sasl.jaas.config`, `consumer.override.sasl.jaas.config`, or `admin.override.sasl.jaas.config` properties. This will allow the server to connect to the attacker's LDAP server and deserialize the LDAP response, which the attacker can use to execute java deserialization gadget chains on the Kafka connect server. Attacker can cause unrestricted deserialization of untrusted data (or) RCE vulnerability when there are gadgets in the classpath. Since Apache Kafka 3.0.0, users are allowed to specify these properties in connector configurations for Kafka Connect clusters running with out-of-the-box configurations. Before Apache Kafka 3.0.0, users may not specify these properties unless the Kafka Connect cluster has been reconfigured with a connector client override policy that permits them. Since Apache Kafka 3.9.1/4.0.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule,com.sun.security.auth.module.LdapLoginModule" are disabled in Apache Kafka Connect 3.9.1/4.0.0. We advise the Kafka users to validate connector configurations and only allow trusted LDAP configurations. Also examine connector dependencies for vulnerable versions and either upgrade their connectors, upgrading that specific dependency, or removing the connectors as options for remediation. Finally, in addition to leveraging the "org.apache.kafka.disallowed.login.modules" system property, Kafka Connect users can also implement their own connector client config override policy, which can be used to control which Kafka client properties can be overridden directly in a connector config and which cannot.

ZKConfigurationStore which is optionally used by CapacityScheduler of Apache Hadoop YARN deserializes data obtained from ZooKeeper without validation. An attacker having access to ZooKeeper can run arbitrary commands as YARN user by exploiting this. Users should upgrade to Apache Hadoop 2.10.2, 3.2.4, 3.3.4 or later (containing YARN-11126) if ZKConfigurationStore is used.

In Apache Linkis <=1.3.0 when used with the MySQL Connector/J, a deserialization vulnerability with possible remote code execution impact exists when an attacker has write access to a database and configures new datasource with a MySQL data source and malicious parameters. Therefore, the parameters in the jdbc url should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users to upgrade the version of Linkis to version 1.3.1.

Apache Guacamole 1.5.3 and older do not consistently ensure that values received from a VNC server will not result in integer overflow. If a user connects to a malicious or compromised VNC server, specially-crafted data could result in memory corruption, possibly allowing arbitrary code to be executed with the privileges of the running guacd process. Users are recommended to upgrade to version 1.5.4, which fixes this issue.

In Apache Hadoop 3.2.0 to 3.2.1, 3.0.0-alpha1 to 3.1.3, and 2.0.0-alpha to 2.10.0, WebHDFS client might send SPNEGO authorization header to remote URL without proper verification.

Improper authorization check and possible privilege escalation on Apache Superset up to but excluding 2.1.2. Using the default examples database connection that allows access to both the examples schema and Apache Superset's metadata database, an attacker using a specially crafted CTE SQL statement could change data on the metadata database. This weakness could result on tampering with the authentication/authorization data.

In the fix for CVE-2022-24697, a blacklist is used to filter user input commands. But there is a risk of being bypassed. The user can control the command by controlling the kylin.engine.spark-cmd parameter of conf.

Blind XXE Vulnerabilities in jackrabbit-spi-commons and jackrabbit-core in Apache Jackrabbit < 2.23.2 due to usage of an unsecured document build to load privileges. Users are recommended to upgrade to versions 2.20.17 (Java 8), 2.22.1 (Java 11) or 2.23.2 (Java 11, beta versions), which fix this issue. Earlier versions (up to 2.20.16) are not supported anymore, thus users should update to the respective supported version.

Improper Access Control vulnerability in Apache Commons. A special BeanIntrospector class was added in version 1.9.2. This can be used to stop attackers from using the declared class property of Java enum objects to get access to the classloader. However this protection was not enabled by default. PropertyUtilsBean (and consequently BeanUtilsBean) now disallows declared class level property access by default. Releases 1.11.0 and 2.0.0-M2 address a potential security issue when accessing enum properties in an uncontrolled way. If an application using Commons BeanUtils passes property paths from an external source directly to the getProperty() method of PropertyUtilsBean, an attacker can access the enum’s class loader via the “declaredClass” property available on all Java “enum” objects. Accessing the enum’s “declaredClass” allows remote attackers to access the ClassLoader and execute arbitrary code. The same issue exists with PropertyUtilsBean.getNestedProperty(). Starting in versions 1.11.0 and 2.0.0-M2 a special BeanIntrospector suppresses the “declaredClass” property. Note that this new BeanIntrospector is enabled by default, but you can disable it to regain the old behavior; see section 2.5 of the user's guide and the unit tests. This issue affects Apache Commons BeanUtils 1.x before 1.11.0, and 2.x before 2.0.0-M2.Users of the artifact commons-beanutils:commons-beanutils 1.x are recommended to upgrade to version 1.11.0, which fixes the issue. Users of the artifact org.apache.commons:commons-beanutils2 2.x are recommended to upgrade to version 2.0.0-M2, which fixes the issue.

A privilege escalation vulnerability exists in Apache CloudStack versions 4.10.0.0 through 4.20.0.0 where a malicious Domain Admin user in the ROOT domain can get the API key and secret key of user-accounts of Admin role type in the same domain. This operation is not appropriately restricted and allows the attacker to assume control over higher-privileged user-accounts. A malicious Domain Admin attacker can impersonate an Admin user-account and gain access to sensitive APIs and resources that could result in the compromise of resource integrity and confidentiality, data loss, denial of service, and availability of infrastructure managed by CloudStack. Users are recommended to upgrade to Apache CloudStack 4.19.3.0 or 4.20.1.0, which fixes the issue with the following: * Strict validation on Role Type hierarchy: the caller's role must be equal to or higher than the target user's role.  * API privilege comparison: the caller must possess all privileges of the user they are operating on.  * Two new domain-level settings (restricted to the default admin):   - role.types.allowed.for.operations.on.accounts.of.same.role.type: Defines which role types are allowed to act on users of the same role type. Default: "Admin, DomainAdmin, ResourceAdmin".   - allow.operations.on.users.in.same.account: Allows/disallows user operations within the same account. Default: true.

A privilege escalation vulnerability exists in Apache CloudStack versions 4.10.0.0 through 4.20.0.0 where a malicious Domain Admin user in the ROOT domain can reset the password of user-accounts of Admin role type. This operation is not appropriately restricted and allows the attacker to assume control over higher-privileged user-accounts. A malicious Domain Admin attacker can impersonate an Admin user-account and gain access to sensitive APIs and resources that could result in the compromise of resource integrity and confidentiality, data loss, denial of service, and availability of infrastructure managed by CloudStack. Users are recommended to upgrade to Apache CloudStack 4.19.3.0 or 4.20.1.0, which fixes the issue with the following: * Strict validation on Role Type hierarchy: the caller's user-account role must be equal to or higher than the target user-account's role. * API privilege comparison: the caller must possess all privileges of the user they are operating on. * Two new domain-level settings (restricted to the default Admin):  - role.types.allowed.for.operations.on.accounts.of.same.role.type: Defines which role types are allowed to act on users of the same role type. Default: "Admin, DomainAdmin, ResourceAdmin".    - allow.operations.on.users.in.same.account: Allows/disallows user operations within the same account. Default: true.

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

Once an user is authenticated on Jolokia, he can potentially trigger arbitrary code execution.  In details, in ActiveMQ configurations, jetty allows org.jolokia.http.AgentServlet to handler request to /api/jolokia org.jolokia.http.HttpRequestHandler#handlePostRequest is able to create JmxRequest through JSONObject. And calls to org.jolokia.http.HttpRequestHandler#executeRequest. Into deeper calling stacks, org.jolokia.handler.ExecHandler#doHandleRequest can be invoked through refection. This could lead to RCE through via various mbeans. One example is unrestricted deserialization in jdk.management.jfr.FlightRecorderMXBeanImpl which exists on Java version above 11. 1 Call newRecording. 2 Call setConfiguration. And a webshell data hides in it. 3 Call startRecording. 4 Call copyTo method. The webshell will be written to a .jsp file. The mitigation is to restrict (by default) the actions authorized on Jolokia, or disable Jolokia. A more restrictive Jolokia configuration has been defined in default ActiveMQ distribution. We encourage users to upgrade to ActiveMQ distributions version including updated Jolokia configuration: 5.16.6, 5.17.4, 5.18.0, 6.0.0.

XStream before version 1.4.14 is vulnerable to Remote Code Execution.The vulnerability may allow a remote attacker to run arbitrary shell commands only by manipulating the processed input stream. Only users who rely on blocklists are affected. Anyone using XStream's Security Framework allowlist is not affected. The linked advisory provides code workarounds for users who cannot upgrade. The issue is fixed in version 1.4.14.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Airflow Common SQL Provider. When using the partition clause in SQLTableCheckOperator as parameter (which was a recommended pattern), Authenticated UI User could inject arbitrary SQL command when triggering DAG exposing partition_clause to the user. This allowed the DAG Triggering user to escalate privileges to execute those arbitrary commands which they normally would not have. This issue affects Apache Airflow Common SQL Provider: before 1.24.1. Users are recommended to upgrade to version 1.24.1, which fixes the issue.

A local code execution issue exists in Apache Struts2 when processing malformed XSLT files, which could let a malicious user upload and execute arbitrary files.

Execution with Unnecessary Privileges, : Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Airflow.The "Run Task" feature enables authenticated user to bypass some of the restrictions put in place. It allows to execute code in the webserver context as well as allows to bypas limitation of access the user has to certain DAGs. The "Run Task" feature is considered dangerous and it has been removed entirely in Airflow 2.6.0 This issue affects Apache Airflow: before 2.6.0.

Apache Airflow Docker's Provider prior to 3.0.0 shipped with an example DAG that was vulnerable to (authenticated) remote code exploit of code on the Airflow worker host.

In Apache Linkis <= 1.5.0, data source management module, when adding Mysql data source, exists remote code execution vulnerability for java version < 1.8.0_241. The deserialization vulnerability exploited through jrmp can inject malicious files into the server and execute them. This attack requires the attacker to obtain an authorized account from Linkis before it can be carried out.  We recommend that users upgrade the java version to >= 1.8.0_241. Or users upgrade Linkis to version 1.6.0.

Privilege Defined With Unsafe Actions vulnerability in Apache Cassandra. An user with MODIFY permission ON ALL KEYSPACES can escalate privileges to superuser within a targeted Cassandra cluster via unsafe actions to a system resource. Operators granting data MODIFY permission on all keyspaces on affected versions should review data access rules for potential breaches. This issue affects Apache Cassandra 3.0.30, 3.11.17, 4.0.16, 4.1.7, 5.0.2, but this advisory is only for 4.0.16 because the fix to CVE-2025-23015 was incorrectly applied to 4.0.16, so that version is still affected. Users in the 4.0 series are recommended to upgrade to version 4.0.17 which fixes the issue. Users from 3.0, 3.11, 4.1 and 5.0 series should follow recommendation from CVE-2025-23015.

An integer overflow in xerces-c++ 3.2.3 in BigFix Platform allows remote attackers to cause out-of-bound access via HTTP request.

Example DAG: example_inlet_event_extra.py shipped with Apache Airflow version 2.10.0 has a vulnerability that allows an authenticated attacker with only DAG trigger permission to execute arbitrary commands. If you used that example as the base of your DAGs - please review if you have not copied the dangerous example; see https://github.com/apache/airflow/pull/41873  for more information. We recommend against exposing the example DAGs in your deployment. If you must expose the example DAGs, upgrade Airflow to version 2.10.1 or later.

Deserialization of Untrusted Data vulnerability in Apache ShardingSphere-Agent, which allows attackers to execute arbitrary code by constructing a special YAML configuration file. The attacker needs to have permission to modify the ShardingSphere Agent YAML configuration file on the target machine, and the target machine can access the URL with the arbitrary code JAR. An attacker can use SnakeYAML to deserialize java.net.URLClassLoader and make it load a JAR from a specified URL, and then deserialize javax.script.ScriptEngineManager to load code using that ClassLoader. When the ShardingSphere JVM process starts and uses the ShardingSphere-Agent, the arbitrary code specified by the attacker will be executed during the deserialization of the YAML configuration file by the Agent. This issue affects ShardingSphere-Agent: through 5.3.2. This vulnerability is fixed in Apache ShardingSphere 5.4.0.

Apache NiFi 0.0.2 through 1.22.0 include Processors and Controller Services that support HTTP URL references for retrieving drivers, which allows an authenticated and authorized user to configure a location that enables custom code execution. The resolution introduces a new Required Permission for referencing remote resources, restricting configuration of these components to privileged users. The permission prevents unprivileged users from configuring Processors and Controller Services annotated with the new Reference Remote Resources restriction. Upgrading to Apache NiFi 1.23.0 is the recommended mitigation.

The DBCPConnectionPool and HikariCPConnectionPool Controller Services in Apache NiFi 0.0.2 through 1.21.0 allow an authenticated and authorized user to configure a Database URL with the H2 driver that enables custom code execution. The resolution validates the Database URL and rejects H2 JDBC locations. You are recommended to upgrade to version 1.22.0 or later which fixes this issue.

A code injection vulnerability exists in the Ambari Alert Definition feature, allowing authenticated users to inject and execute arbitrary shell commands. The vulnerability arises when defining alert scripts, where the script filename field is executed using `sh -c`. An attacker with authenticated access can exploit this vulnerability to inject malicious commands, leading to remote code execution on the server. The issue has been fixed in the latest versions of Ambari.

Privilege Defined With Unsafe Actions vulnerability in Apache Cassandra. An user with MODIFY permission ON ALL KEYSPACES can escalate privileges to superuser within a targeted Cassandra cluster via unsafe actions to a system resource. Operators granting data MODIFY permission on all keyspaces on affected versions should review data access rules for potential breaches. This issue affects Apache Cassandra through 3.0.30, 3.11.17, 4.0.15, 4.1.7, 5.0.2. Users are recommended to upgrade to versions 3.0.31, 3.11.18, 4.0.16, 4.1.8, 5.0.3, which fixes the issue.

Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache InLong. It could be triggered by authenticated users of InLong, you could refer to [1] to know more about this vulnerability. This issue affects Apache InLong: from 1.1.0 through 1.5.0. Users are advised to upgrade to Apache InLong's latest version or cherry-pick [2] to solve it. [1]  https://programmer.help/blogs/jdbc-deserialization-vulnerability-learning.html https://programmer.help/blogs/jdbc-deserialization-vulnerability-learning.html [2] https://github.com/apache/inlong/pull/7422 https://github.com/apache/inlong/pull/7422

** UNSUPPORTED WHEN ASSIGNED ** The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. Users are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0.

There is insufficient restrictions of called script functions in Apache Jena versions 4.8.0 and earlier. It allows a remote user to execute javascript via a SPARQL query. This issue affects Apache Jena: from 3.7.0 through 4.8.0.

SQL injection in Log4cxx when using the ODBC appender to send log messages to a database.  No fields sent to the database were properly escaped for SQL injection.  This has been the case since at least version 0.9.0(released 2003-08-06) Note that Log4cxx is a C++ framework, so only C++ applications are affected. Before version 1.1.0, the ODBC appender was automatically part of Log4cxx if the library was found when compiling the library.  As of version 1.1.0, this must be both explicitly enabled in order to be compiled in. Three preconditions must be met for this vulnerability to be possible: 1. Log4cxx compiled with ODBC support(before version 1.1.0, this was auto-detected at compile time) 2. ODBCAppender enabled for logging messages to, generally done via a config file 3. User input is logged at some point. If your application does not have user input, it is unlikely to be affected. Users are recommended to upgrade to version 1.1.0 which properly binds the parameters to the SQL statement, or migrate to the new DBAppender class which supports an ODBC connection in addition to other databases. Note that this fix does require a configuration file update, as the old configuration files will not configure properly.  An example is shown below, and more information may be found in the Log4cxx documentation on the ODBCAppender. Example of old configuration snippet: <appender name="SqlODBCAppender" class="ODBCAppender">     <param name="sql" value="INSERT INTO logs (message) VALUES ('%m')" />     ... other params here ... </appender> The migrated configuration snippet with new ColumnMapping parameters: <appender name="SqlODBCAppender" class="ODBCAppender">     <param name="sql" value="INSERT INTO logs (message) VALUES (?)" />     <param name="ColumnMapping" value="message"/>     ... other params here ... </appender>

When using an authentication mechanism other than PKI, when the user clicks Log Out in NiFi versions 1.0.0 to 1.9.2, NiFi invalidates the authentication token on the client side but not on the server side. This permits the user's client-side token to be used for up to 12 hours after logging out to make API requests to NiFi.

A REST interface in Apache StreamPipes (versions 0.69.0 to 0.91.0) was not properly restricted to admin-only access. This allowed a non-admin user with valid login credentials to elevate privileges beyond the initially assigned roles. The issue is resolved by upgrading to StreamPipes 0.92.0.

Deserialization of Untrusted Data vulnerability in Apache HertzBeat. This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat: before 1.6.1. Users are recommended to upgrade to version 1.6.1, which fixes the issue.

JMSSink in all versions of Log4j 1.x is vulnerable to deserialization of untrusted data when the attacker has write access to the Log4j configuration or if the configuration references an LDAP service the attacker has access to. The attacker can provide a TopicConnectionFactoryBindingName configuration causing JMSSink to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-4104. Note this issue only affects Log4j 1.x when specifically configured to use JMSSink, which is not the default. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.

Hertzbeat is an open source, real-time monitoring system. Hertzbeat has an authenticated (user role) RCE via unsafe deserialization in /api/monitors/import. This vulnerability is fixed in 1.6.0.

Web endpoint authentication check is broken in Apache Hadoop 3.0.0-alpha4, 3.0.0-beta1, and 3.0.0. Authenticated users may impersonate any user even if no proxy user is configured.