A deserialization vulnerability existed in dubbo hessian-lite 3.2.12 and its earlier versions, which could lead to malicious code execution. This issue affects Apache Dubbo 2.7.x version 2.7.17 and prior versions; Apache Dubbo 3.0.x version 3.0.11 and prior versions; Apache Dubbo 3.1.x version 3.1.0 and prior versions.

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 Geode versions up to 1.12.5, 1.13.4 and 1.14.0 are vulnerable to a deserialization of untrusted data flaw when using JMX over RMI on Java 8. Any user still on Java 8 who wishes to protect against deserialization attacks involving JMX or RMI should upgrade to Apache Geode 1.15 and Java 11. If upgrading to Java 11 is not possible, then upgrade to Apache Geode 1.15 and specify "--J=-Dgeode.enableGlobalSerialFilter=true" when starting any Locators or Servers. Follow the documentation for details on specifying any user classes that may be serialized/deserialized with the "serializable-object-filter" configuration option. Using a global serial filter will impact performance.

Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache Johnzon. A malicious attacker can craft up some JSON input that uses large numbers (numbers such as 1e20000000) that Apache Johnzon will deserialize into BigDecimal and maybe use numbers too large which may result in a slow conversion (Denial of service risk). Apache Johnzon 1.2.21 mitigates this by setting a scale limit of 1000 (by default) to the BigDecimal. This issue affects Apache Johnzon: through 1.2.20.

When using Apache Tomcat versions 10.0.0-M1 to 10.0.0-M4, 9.0.0.M1 to 9.0.34, 8.5.0 to 8.5.54 and 7.0.0 to 7.0.103 if a) an attacker is able to control the contents and name of a file on the server; and b) the server is configured to use the PersistenceManager with a FileStore; and c) the PersistenceManager is configured with sessionAttributeValueClassNameFilter="null" (the default unless a SecurityManager is used) or a sufficiently lax filter to allow the attacker provided object to be deserialized; and d) the attacker knows the relative file path from the storage location used by FileStore to the file the attacker has control over; then, using a specifically crafted request, the attacker will be able to trigger remote code execution via deserialization of the file under their control. Note that all of conditions a) to d) must be true for the attack to succeed.

Vendor: The Apache Software Foundation Versions Affected: Apache OpenMeetings from 2.1.0 before 8.0.0 Description: Default clustering instructions at https://openmeetings.apache.org/Clustering.html  doesn't specify white/black lists for OpenJPA this leads to possible deserialisation of untrusted data. Users are recommended to upgrade to version 8.0.0 and update their startup scripts to include the relevant 'openjpa.serialization.class.blacklist' and 'openjpa.serialization.class.whitelist' configurations as shown in the documentation.

CWE-502 Deserialization of Untrusted Data at the eventmesh-meta-raft plugin module in Apache EventMesh master branch without release version on windows\linux\mac os e.g. platforms allows attackers to send controlled message and remote code execute via hessian deserialization rpc protocol. Users can use the code under the master branch in project repo or version 1.11.0 to fix this issue.

In Apache Ignite versions from 2.6.0 and before 2.17.0, configured Class Serialization Filters are ignored for some Ignite endpoints. The vulnerability could be exploited if an attacker manually crafts an Ignite message containing a vulnerable object whose class is present in the Ignite server classpath and sends it to Ignite server endpoints. Deserialization of such a message by the Ignite server may result in the execution of arbitrary code on the Apache Ignite server side.

The ObjectSerializationDecoder in Apache MINA uses Java’s native deserialization protocol to process incoming serialized data but lacks the necessary security checks and defenses. This vulnerability allows attackers to exploit the deserialization process by sending specially crafted malicious serialized data, potentially leading to remote code execution (RCE) attacks. This issue affects MINA core versions 2.0.X, 2.1.X and 2.2.X, and will be fixed by the releases 2.0.27, 2.1.10 and 2.2.4. It's also important to note that an application using MINA core library will only be affected if the IoBuffer#getObject() method is called, and this specific method is potentially called when adding a ProtocolCodecFilter instance using the ObjectSerializationCodecFactory class in the filter chain. If your application is specifically using those classes, you have to upgrade to the latest version of MINA core library. Upgrading will  not be enough: you also need to explicitly allow the classes the decoder will accept in the ObjectSerializationDecoder instance, using one of the three new methods: /**      * Accept class names where the supplied ClassNameMatcher matches for * deserialization, unless they are otherwise rejected. * * @param classNameMatcher the matcher to use */ public void accept(ClassNameMatcher classNameMatcher) /** * Accept class names that match the supplied pattern for * deserialization, unless they are otherwise rejected. * * @param pattern standard Java regexp */ public void accept(Pattern pattern) /** * Accept the wildcard specified classes for deserialization, * unless they are otherwise rejected. * * @param patterns Wildcard file name patterns as defined by * {@link org.apache.commons.io.FilenameUtils#wildcardMatch(String, String) FilenameUtils.wildcardMatch} */ public void accept(String... patterns) By default, the decoder will reject *all* classes that will be present in the incoming data. Note: The FtpServer, SSHd and Vysper sub-project are not affected by this issue.

In Apache Log4j 2.x before 2.8.2, when using the TCP socket server or UDP socket server to receive serialized log events from another application, a specially crafted binary payload can be sent that, when deserialized, can execute arbitrary code.

Schema parsing in the Java SDK of Apache Avro 1.11.3 and previous versions allows bad actors to execute arbitrary code. Users are recommended to upgrade to version 1.11.4  or 1.12.0, which fix this issue.

A deserialization vulnerability existed when decode a malicious package.This issue affects Apache Dubbo: from 3.1.0 through 3.1.10, from 3.2.0 through 3.2.4. Users are recommended to upgrade to the latest version, which fixes the issue.

In Apache Linkis <=1.3.1, due to the lack of effective filtering of parameters, an attacker configuring malicious Mysql JDBC parameters in JDBC EengineConn Module will trigger a deserialization vulnerability and eventually lead to remote code execution. Therefore, the parameters in the Mysql JDBC URL should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users upgrade the version of Linkis to version 1.3.2.

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.

In Apache Linkis <=1.3.1, because the parameters are not effectively filtered, the attacker uses the MySQL data source and malicious parameters to configure a new data source to trigger a deserialization vulnerability, eventually leading to remote code execution. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users upgrade the version of Linkis to version 1.3.2.

Deserialization of Untrusted Data vulnerability in Apache Lucene.Net.Replicator. This issue affects Apache Lucene.NET's Replicator library: from 4.8.0-beta00005 through 4.8.0-beta00016. An attacker that can intercept traffic between a replication client and server, or control the target replication node URL, can provide a specially-crafted JSON response that is deserialized as an attacker-provided exception type. This can result in remote code execution or other potential unauthorized access. Users are recommended to upgrade to version 4.8.0-beta00017, which fixes the issue.

Deserialization of Untrusted Data vulnerability in Apache IoTDB.This issue affects Apache IoTDB: from 0.13.0 through 0.13.4. Users are recommended to upgrade to version 1.2.2, which fixes the issue.

** UNSUPPORTED WHEN ASSIGNED ** When using the Chainsaw or SocketAppender components with Log4j 1.x on JRE less than 1.7, an attacker that manages to cause a logging entry involving a specially-crafted (ie, deeply nested) hashmap or hashtable (depending on which logging component is in use) to be processed could exhaust the available memory in the virtual machine and achieve Denial of Service when the object is deserialized. This issue affects Apache Log4j before 2. Affected users are recommended to update to Log4j 2.x. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

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.

Apache Camel's camel-snakeyaml component is vulnerable to Java object de-serialization vulnerability. De-serializing untrusted data can lead to security flaws.

Hertzbeat is a real-time monitoring system. At the interface of `/define/yml`, SnakeYAML is used as a parser to parse yml content, but no security configuration is used, resulting in a YAML deserialization vulnerability. Version 1.4.1 fixes this vulnerability.

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.

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.

A deserialization vulnerability existed when dubbo generic invoke, which could lead to malicious code execution. This issue affects Apache Dubbo 2.7.x version 2.7.21 and prior versions; Apache Dubbo 3.0.x version 3.0.13 and prior versions; Apache Dubbo 3.1.x version 3.1.5 and prior versions.

The Solr plugin of Apache OFBiz is configured by default to automatically make a RMI request on localhost, port 1099. In version 18.12.05 and earlier, by hosting a malicious RMI server on localhost, an attacker may exploit this behavior, at server start-up or on a server restart, in order to run arbitrary code. Upgrade to at least 18.12.06 or apply patches at https://issues.apache.org/jira/browse/OFBIZ-12646.

When deserializing untrusted or corrupted data, it is possible for a reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system. This issue affects Java applications using Apache Avro Java SDK up to and including 1.11.2. Users should update to apache-avro version 1.11.3 which addresses this issue.

Java object deserialization issue in Jackrabbit webapp/standalone on all platforms allows attacker to remotely execute code via RMIVersions up to (including) 2.20.10 (stable branch) and 2.21.17 (unstable branch) use the component "commons-beanutils", which contains a class that can be used for remote code execution over RMI. Users are advised to immediately update to versions 2.20.11 or 2.21.18. Note that earlier stable branches (1.0.x .. 2.18.x) have been EOLd already and do not receive updates anymore. In general, RMI support can expose vulnerabilities by the mere presence of an exploitable class on the classpath. Even if Jackrabbit itself does not contain any code known to be exploitable anymore, adding other components to your server can expose the same type of problem. We therefore recommend to disable RMI access altogether (see further below), and will discuss deprecating RMI support in future Jackrabbit releases. How to check whether RMI support is enabledRMI support can be over an RMI-specific TCP port, and over an HTTP binding. Both are by default enabled in Jackrabbit webapp/standalone. The native RMI protocol by default uses port 1099. To check whether it is enabled, tools like "netstat" can be used to check. RMI-over-HTTP in Jackrabbit by default uses the path "/rmi". So when running standalone on port 8080, check whether an HTTP GET request on localhost:8080/rmi returns 404 (not enabled) or 200 (enabled). Note that the HTTP path may be different when the webapp is deployed in a container as non-root context, in which case the prefix is under the user's control. Turning off RMIFind web.xml (either in JAR/WAR file or in unpacked web application folder), and remove the declaration and the mapping definition for the RemoteBindingServlet:         <servlet>             <servlet-name>RMI</servlet-name>             <servlet-class>org.apache.jackrabbit.servlet.remote.RemoteBindingServlet</servlet-class>         </servlet>         <servlet-mapping>             <servlet-name>RMI</servlet-name>             <url-pattern>/rmi</url-pattern>         </servlet-mapping> Find the bootstrap.properties file (in $REPOSITORY_HOME), and set         rmi.enabled=false     and also remove         rmi.host         rmi.port         rmi.url-pattern  If there is no file named bootstrap.properties in $REPOSITORY_HOME, it is located somewhere in the classpath. In this case, place a copy in $REPOSITORY_HOME and modify it as explained.

Apache Log4j2 2.0-beta9 through 2.15.0 (excluding security releases 2.12.2, 2.12.3, and 2.3.1) JNDI features used in configuration, log messages, and parameters do not protect against attacker controlled LDAP and other JNDI related endpoints. An attacker who can control log messages or log message parameters can execute arbitrary code loaded from LDAP servers when message lookup substitution is enabled. From log4j 2.15.0, this behavior has been disabled by default. From version 2.16.0 (along with 2.12.2, 2.12.3, and 2.3.1), this functionality has been completely removed. Note that this vulnerability is specific to log4j-core and does not affect log4net, log4cxx, or other Apache Logging Services projects.

The JndiJmsConnectionFactoryProvider Controller Service, along with the ConsumeJMS and PublishJMS Processors, in Apache NiFi 1.8.0 through 1.21.0 allow an authenticated and authorized user to configure URL and library properties that enable deserialization of untrusted data from a remote location. The resolution validates the JNDI URL and restricts locations to a set of allowed schemes. You are recommended to upgrade to version 1.22.0 or later which fixes this issue.

Apache Karaf allows monitoring of applications and the Java runtime by using the Java Management Extensions (JMX). JMX is a Java RMI based technology that relies on Java serialized objects for client server communication. Whereas the default JMX implementation is hardened against unauthenticated deserialization attacks, the implementation used by Apache Karaf is not protected against this kind of attack. The impact of Java deserialization vulnerabilities strongly depends on the classes that are available within the targets class path. Generally speaking, deserialization of untrusted data does always represent a high security risk and should be prevented. The risk is low as, by default, Karaf uses a limited set of classes in the JMX server class path. It depends of system scoped classes (e.g. jar in the lib folder).

JMSAppender in Log4j 1.2 is vulnerable to deserialization of untrusted data when the attacker has write access to the Log4j configuration. The attacker can provide TopicBindingName and TopicConnectionFactoryBindingName configurations causing JMSAppender to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-44228. Note this issue only affects Log4j 1.2 when specifically configured to use JMSAppender, 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.

An Unsafe Deserialization vulnerability exists in the worker services of the Apache Storm supervisor server allowing pre-auth Remote Code Execution (RCE). Apache Storm 2.2.x users should upgrade to version 2.2.1 or 2.3.0. Apache Storm 2.1.x users should upgrade to version 2.1.1. Apache Storm 1.x users should upgrade to version 1.2.4

Apache DB DdlUtils 1.0 included a BinaryObjectsHelper that was intended for use when migrating database data with a SQL data type of BINARY, VARBINARY, LONGVARBINARY, or BLOB between databases using the ddlutils features. The BinaryObjectsHelper class was insecure and used ObjectInputStream.readObject without validating that the input data was safe to deserialize. Please note that DdlUtils is no longer being actively developed. To address the insecurity of the BinaryObjectHelper class, the following changes to DdlUtils have been made: (1) BinaryObjectsHelper.java has been deleted from the DdlUtils source repository and the DdlUtils feature of propagating data of SQL binary types is therefore no longer present in DdlUtils; (2) The ddlutils-1.0 release has been removed from the Apache Release Distribution Infrastructure; (3) The DdlUtils web site has been updated to indicate that DdlUtils is now available only as source code, not as a packaged release.

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.

In Apache ShardingSphere(incubator) 4.0.0-RC3 and 4.0.0, the ShardingSphere's web console uses the SnakeYAML library for parsing YAML inputs to load datasource configuration. SnakeYAML allows to unmarshal data to a Java type By using the YAML tag. Unmarshalling untrusted data can lead to security flaws of RCE.

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

A Java Serialization vulnerability was found in Apache Tapestry 4. Apache Tapestry 4 will attempt to deserialize the "sp" parameter even before invoking the page's validate method, leading to deserialization without authentication. Apache Tapestry 4 reached end of life in 2008 and no update to address this issue will be released. Apache Tapestry 5 versions are not vulnerable to this issue. Users of Apache Tapestry 4 should upgrade to the latest Apache Tapestry 5 version.

An issue was found in Apache Airflow versions 1.10.10 and below. When using CeleryExecutor, if an attack can connect to the broker (Redis, RabbitMQ) directly, it was possible to insert a malicious payload directly to the broker which could lead to a deserialization attack (and thus remote code execution) on the Worker.

Apache Camel RabbitMQ enables Java deserialization by default. Apache Camel 2.22.x, 2.23.x, 2.24.x, 2.25.0, 3.0.0 up to 3.1.0 are affected. 2.x users should upgrade to 2.25.1, 3.x users should upgrade to 3.2.0.

A deserialization vulnerability existed in dubbo 2.7.5 and its earlier versions, which could lead to malicious code execution. Most Dubbo users use Hessian2 as the default serialization/deserialization protool, during Hessian2 deserializing the HashMap object, some functions in the classes stored in HasMap will be executed after a series of program calls, however, those special functions may cause remote command execution. For example, the hashCode() function of the EqualsBean class in rome-1.7.0.jar will cause the remotely load malicious classes and execute malicious code by constructing a malicious request. This issue was fixed in Apache Dubbo 2.6.9 and 2.7.8.

Deserialization of Untrusted Data Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.6.0. Attackers would bypass the 'autoDeserialize' option filtering by adding blanks. Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick  https://github.com/apache/inlong/pull/7674 https://github.com/apache/inlong/pull/7674 to solve it.

CWE-502 Deserialization of Untrusted Data at the rabbitmq-connector plugin module in Apache EventMesh (incubating) V1.7.0\V1.8.0 on windows\linux\mac os e.g. platforms allows attackers to send controlled message and remote code execute via rabbitmq messages. Users can use the code under the master branch in project repo to fix this issue, we will release the new version as soon as possible.

Unsafe deserialization occurs within a Dubbo application which has HTTP remoting enabled. An attacker may submit a POST request with a Java object in it to completely compromise a Provider instance of Apache Dubbo, if this instance enables HTTP. This issue affected Apache Dubbo 2.7.0 to 2.7.4, 2.6.0 to 2.6.7, and all 2.5.x versions.

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

A deserialization vulnerability existed in dubbo hessian-lite 3.2.11 and its earlier versions, which could lead to malicious code execution. Most Dubbo users use Hessian2 as the default serialization/deserialization protocol, during Hessian catch unexpected exceptions, Hessian will log out some imformation for users, which may cause remote command execution. This issue affects Apache Dubbo Apache Dubbo 2.6.x versions prior to 2.6.12; Apache Dubbo 2.7.x versions prior to 2.7.15; Apache Dubbo 3.0.x versions prior to 3.0.5.

Apache Olingo versions 4.0.0 to 4.6.0 provide the AbstractService class, which is public API, uses ObjectInputStream and doesn't check classes being deserialized. If an attacker can feed malicious metadata to the class, then it may result in running attacker's code in the worse case.

An untrusted deserialization was found in the org.apache.xmlrpc.parser.XmlRpcResponseParser:addResult method of Apache XML-RPC (aka ws-xmlrpc) library. A malicious XML-RPC server could target a XML-RPC client causing it to execute arbitrary code. Apache XML-RPC is no longer maintained and this issue will not be fixed.

Included in Log4j 1.2 is a SocketServer class that is vulnerable to deserialization of untrusted data which can be exploited to remotely execute arbitrary code when combined with a deserialization gadget when listening to untrusted network traffic for log data. This affects Log4j versions up to 1.2 up to 1.2.17.

In Apache Geode before v1.4.0, the TcpServer within the Geode locator opens a network port that deserializes data. If an unprivileged user gains access to the Geode locator, they may be able to cause remote code execution if certain classes are present on the classpath.