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.

When handler-router component is enabled in servicecomb-java-chassis, authenticated user may inject some data and cause arbitrary code execution. The problem happens in versions between 2.0.0 ~ 2.1.3 and fixed in Apache ServiceComb-Java-Chassis 2.1.5

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.

SnakeYaml Deser Load Malicious xml rce vulnerability in Apache HertzBeat (incubating).  This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat (incubating): before 1.6.0. Users are recommended to upgrade to version 1.6.0, which fixes the issue.

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.

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.

In versions of Apache InLong prior to 1.3.0, an attacker with sufficient privileges to specify MySQL JDBC connection URL parameters and to write arbitrary data to the MySQL database, could cause this data to be deserialized by Apache InLong, potentially leading to Remote Code Execution on the Apache InLong server. Users are advised to upgrade to Apache InLong 1.3.0 or newer.

In Apache Linkis <=1.2.0 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 a JDBC EC with a MySQL data source and malicious parameters. Therefore, the parameters in the jdbc url should be blacklisted. Versions of Apache Linkis <= 1.2.0 will be affected, We recommend users to update to 1.3.0.

Apache Geode versions up to 1.12.2 and 1.13.2 are vulnerable to a deserialization of untrusted data flaw when using JMX over RMI on Java 11. Any user wishing to protect against deserialization attacks involving JMX or RMI should upgrade to Apache Geode 1.15. Use of 1.15 on Java 11 will automatically protect JMX over RMI against deserialization attacks. This should have no impact on performance since it only affects JMX/RMI which Gfsh uses to communicate with the JMX Manager which is hosted on a Locator.

Apache NiFi 1.20.0 through 2.6.0 include the GetAsanaObject Processor, which requires integration with a configurable Distribute Map Cache Client Service for storing and retrieving state information. The GetAsanaObject Processor used generic Java Object serialization and deserialization without filtering. Unfiltered Java object deserialization does not provide protection against crafted state information stored in the cache server configured for GetAsanaObject. Exploitation requires an Apache NiFi system running with the GetAsanaObject Processor, and direct access to the configured cache server. Upgrading to Apache NiFi 2.7.0 is the recommended mitigation, which replaces Java Object serialization with JSON serialization. Removing the GetAsanaObject Processor located in the nifi-asana-processors-nar bundle also prevents exploitation.

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.

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.

Deserialization of Untrusted Data, Improper Input Validation vulnerability in Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK.This issue affects Apache UIMA Java SDK: before 3.5.0. Users are recommended to upgrade to version 3.5.0, which fixes the issue. There are several locations in the code where serialized Java objects are deserialized without verifying the data. This affects in particular: * the deserialization of a Java-serialized CAS, but also other binary CAS formats that include TSI information using the CasIOUtils class; * the CAS Editor Eclipse plugin which uses the the CasIOUtils class to load data; * the deserialization of a Java-serialized CAS of the Vinci Analysis Engine service which can receive using Java-serialized CAS objects over network connections; * the CasAnnotationViewerApplet and the CasTreeViewerApplet; * the checkpointing feature of the CPE module. Note that the UIMA framework by default does not start any remotely accessible services (i.e. Vinci) that would be vulnerable to this issue. A user or developer would need to make an active choice to start such a service. However, users or developers may use the CasIOUtils in their own applications and services to parse serialized CAS data. They are affected by this issue unless they ensure that the data passed to CasIOUtils is not a serialized Java object. When using Vinci or using CasIOUtils in own services/applications, the unrestricted deserialization of Java-serialized CAS files may allow arbitrary (remote) code execution. As a remedy, it is possible to set up a global or context-specific ObjectInputFilter (cf. https://openjdk.org/jeps/290  and  https://openjdk.org/jeps/415 ) if running UIMA on a Java version that supports it. Note that Java 1.8 does not support the ObjectInputFilter, so there is no remedy when running on this out-of-support platform. An upgrade to a recent Java version is strongly recommended if you need to secure an UIMA version that is affected by this issue. To mitigate the issue on a Java 9+ platform, you can configure a filter pattern through the "jdk.serialFilter" system property using a semicolon as a separator: To allow deserializing Java-serialized binary CASes, add the classes: * org.apache.uima.cas.impl.CASCompleteSerializer * org.apache.uima.cas.impl.CASMgrSerializer * org.apache.uima.cas.impl.CASSerializer * java.lang.String To allow deserializing CPE Checkpoint data, add the following classes (and any custom classes your application uses to store its checkpoints): * org.apache.uima.collection.impl.cpm.CheckpointData * org.apache.uima.util.ProcessTrace * org.apache.uima.util.impl.ProcessTrace_impl * org.apache.uima.collection.base_cpm.SynchPoint Make sure to use "!*" as the final component to the filter pattern to disallow deserialization of any classes not listed in the pattern. Apache UIMA 3.5.0 uses tightly scoped ObjectInputFilters when reading Java-serialized data depending on the type of data being expected. Configuring a global filter is not necessary with this version.

Hessian serialization is a network protocol that supports object-based transmission. Apache Cayenne's optional Remote Object Persistence (ROP) feature is a web services-based technology that provides object persistence and query functionality to 'remote' applications. In Apache Cayenne 4.1 and earlier, running on non-current patch versions of Java, an attacker with client access to Cayenne ROP can transmit a malicious payload to any vulnerable third-party dependency on the server. This can result in arbitrary code execution.

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.

CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.

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

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.

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.

A possible security vulnerability has been identified in Apache Kafka Connect API. This requires access to a 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 Connect clusters since Apache Kafka Connect 2.3.0. When configuring the connector via the 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.JndiLoginModule", 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 3.4.0, 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" is disabled in Apache Kafka Connect 3.4.0. We advise the Kafka Connect users to validate connector configurations and only allow trusted JNDI 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.

A remote code execution vulnerability exists where a malicious Raft node can exploit insecure Hessian deserialization within the PD store. The fix enforces IP-based authentication to restrict cluster membership and implements a strict class whitelist to harden the Hessian serialization process against object injection attacks. Users are recommended to upgrade to version 1.7.0, which fixes the 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.

File read and write vulnerability in Apache DolphinScheduler ,  authenticated users can illegally access additional resource files. This issue affects Apache DolphinScheduler: from 3.1.0 before 3.2.2. Users are recommended to upgrade to version 3.2.2, which fixes the issue.

Unrestricted Upload of File with dangerous type vulnerability in Apache StreamPipes. Such a dangerous type might be an executable file that may lead to a remote code execution (RCE). The unrestricted upload is only possible for authenticated and authorized users. This issue affects Apache StreamPipes: through 0.93.0. Users are recommended to upgrade to version 0.95.0, which fixes the issue.

A security Bypass vulnerability exists in the FcgidPassHeader Proxy in mod_fcgid through 2016-07-07.

On versions before 2.1.4, a user could log in and perform a template injection attack resulting in Remote Code Execution on the server, The attacker must successfully log into the system to launch an attack, so this is a moderate-impact vulnerability. Mitigation: all users should upgrade to 2.1.4

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed javascript to be executed on the server. If you are using the switch task plugin, please upgrade to version 3.2.2.

The Pulsar Functions Worker includes a capability that permits authenticated users to create functions where the function's implementation is referenced by a URL. The supported URL schemes include "file", "http", and "https". When a function is created using this method, the Functions Worker will retrieve the implementation from the URL provided by the user. However, this feature introduces a vulnerability that can be exploited by an attacker to gain unauthorized access to any file that the Pulsar Functions Worker process has permissions to read. This includes reading the process environment which potentially includes sensitive information, such as secrets. Furthermore, an attacker could leverage this vulnerability to use the Pulsar Functions Worker as a proxy to access the content of remote HTTP and HTTPS endpoint URLs. This could also be used to carry out denial of service attacks. This vulnerability also applies to the Pulsar Broker when it is configured with "functionsWorkerEnabled=true". This issue affects Apache Pulsar versions from 2.4.0 to 2.10.5, from 2.11.0 to 2.11.3, from 3.0.0 to 3.0.2, from 3.1.0 to 3.1.2, and 3.2.0. 2.10 Pulsar Function Worker users should upgrade to at least 2.10.6. 2.11 Pulsar Function Worker users should upgrade to at least 2.11.4. 3.0 Pulsar Function Worker users should upgrade to at least 3.0.3. 3.1 Pulsar Function Worker users should upgrade to at least 3.1.3. 3.2 Pulsar Function Worker users should upgrade to at least 3.2.1. Users operating versions prior to those listed above should upgrade to the aforementioned patched versions or newer versions. The updated versions of Pulsar Functions Worker will, by default, impose restrictions on the creation of functions using URLs. For users who rely on this functionality, the Function Worker configuration provides two configuration keys: "additionalEnabledConnectorUrlPatterns" and "additionalEnabledFunctionsUrlPatterns". These keys allow users to specify a set of URL patterns that are permitted, enabling the creation of functions using URLs that match the defined patterns. This approach ensures that the feature remains available to those who require it, while limiting the potential for unauthorized access and exploitation.

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.

Kylin has some restful apis which will concatenate SQLs with the user input string, a user is likely to be able to run malicious database queries.

In Apache Linkis <= 1.5.0, Privilege Escalation in Basic management services where the attacking user is a trusted account allows access to Linkis's Token information. Users are advised to upgrade to version 1.6.0, which fixes this issue.

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 Kylin 2.3.0, and releases up to 2.6.5 and 3.0.1 has some restful apis which will concatenate os command with the user input string, a user is likely to be able to execute any os command without any protection or validation.

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 remote code injection vulnerability exists in the Ambari Metrics and AMS Alerts feature, allowing authenticated users to inject and execute arbitrary code. The vulnerability occurs when processing alert definitions, where malicious input can be injected into the alert script execution path. An attacker with authenticated access can exploit this vulnerability to execute arbitrary commands on the server. The issue has been fixed in the latest versions of Ambari.

Improper Privilege Management vulnerability in Apache Fineract.This issue affects Apache Fineract: <1.8.5. Users are recommended to upgrade to version 1.9.0, which fixes the issue.

Apache Airflow versions before 2.10.1 have a vulnerability that allows DAG authors to add local settings to the DAG folder and get it executed by the scheduler, where the scheduler is not supposed to execute code submitted by the DAG author. Users are advised to upgrade to version 2.10.1 or later, which has fixed the vulnerability.

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.

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache HertzBeat (incubating). This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat (incubating): before 1.6.1. Users are recommended to upgrade to version 1.6.1, which fixes the issue.

An SQL injection vulnerability in Traffic Ops in Apache Traffic Control <= 8.0.1, >= 8.0.0 allows a privileged user with role "admin", "federation", "operations", "portal", or "steering" to execute arbitrary SQL against the database by sending a specially-crafted PUT request. Users are recommended to upgrade to version Apache Traffic Control 8.0.2 if you run an affected version of Traffic Ops.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can execute any shell script server by alert script. This issue affects Apache DolphinScheduler: before 3.2.2. Users are recommended to upgrade to version 3.3.1, which fixes the issue.

Apache Fineract allowed an authenticated user to perform remote code execution due to a path traversal vulnerability in a file upload component of Apache Fineract, allowing an attacker to run remote code. This issue affects Apache Fineract version 1.8.0 and prior versions. We recommend users to upgrade to 1.8.1.

Authenticated users with appropriate privileges can create policies having expressions that can exploit code execution vulnerability. This issue affects Apache Ranger: 2.3.0. Users are recommended to update to version 2.4.0.

SpringEL injection in the metrics source in Apache Ambari version 2.7.0 to 2.7.6 allows a malicious authenticated user to execute arbitrary code remotely. Users are recommended to upgrade to 2.7.7.

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.

Apache Airflow 2.4.0, and versions before 2.9.3, has a vulnerability that allows authenticated DAG authors to craft a doc_md parameter in a way that could execute arbitrary code in the scheduler context, which should be forbidden according to the Airflow Security model. Users should upgrade to version 2.9.3 or later which has removed the vulnerability.

SpringEL injection in the server agent in Apache Ambari version 2.7.0 to 2.7.6 allows a malicious authenticated user to execute arbitrary code remotely. Users are recommended to upgrade to 2.7.7.

Improper Privilege Management vulnerability in Apache Software Foundation Apache ShenYu. ShenYu Admin allows low-privilege low-level administrators create users with higher privileges than their own. This issue affects Apache ShenYu: 2.5.0. Upgrade to Apache ShenYu 2.5.1 or apply patch https://github.com/apache/shenyu/pull/3958 https://github.com/apache/shenyu/pull/3958 .

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.

A vulnerability in Example Dags of Apache Airflow allows an attacker with UI access who can trigger DAGs, to execute arbitrary commands via manually provided run_id parameter. This issue affects Apache Airflow Apache Airflow versions prior to 2.4.0.