The java.io.ObjectInputStream is known to cause Java serialisation issues. This issue here is exposed by the "webtools/control/httpService" URL, and uses Java deserialization to perform code execution. In the HttpEngine, the value of the request parameter "serviceContext" is passed to the "deserialize" method of "XmlSerializer". Apache Ofbiz is affected via two different dependencies: "commons-beanutils" and an out-dated version of "commons-fileupload" Mitigation: Upgrade to 16.11.06 or manually apply the commits from OFBIZ-10770 and OFBIZ-10837 on branch 16

The fix for CVE-2024-52046 in Apache MINA AbstractIoBuffer.getObject() was incomplete. The classname allowlist of classes allowed to be deserialized was applied too late after a static initializer in a class to be read might already have been executed. Affected versions are Apache MINA 2.0.0 <= 2.0.27, 2.1.0 <= 2.1.10, and 2.2.0 <= 2.2.5. The problem is resolved in Apache MINA 2.0.28, 2.1.11, and 2.2.6 by applying the classname allowlist earlier. Affected are applications using Apache MINA that call IoBuffer.getObject(). Applications using Apache MINA are advised to upgrade

The fix for CVE-2026-41635 was not applied to the 2.1.X and 2.2.X branches. Here was the original issue description: Apache MINA's AbstractIoBuffer.resolveClass() contains two branches, one of them (for static classes or primitive types) does not check the class at all, bypassing the classname allowlist and allowing arbitrary code to be executed. The fix checks if the class is present in the accepted class filter before calling Class.forName(). Affected versions are Apache MINA 2.1.0 <= 2.1.11, and 2.2.0 <= 2.2.6. The problem is resolved in Apache MINA 2.1.12, and 2.2.7 by applying the classname allowlist earlier. Affected are applications using Apache MINA that call IoBuffer.getObject(). Applications using Apache MINA are advised to upgrade.

JmsBinding.extractBodyFromJms() in camel-jms, and the equivalent JmsBinding class in camel-sjms, deserialized the payload of incoming JMS ObjectMessage values via javax.jms.ObjectMessage.getObject() without applying any ObjectInputFilter, class allowlist or class denylist. Because this code path is reached whenever the mapJmsMessage option is enabled (the default) and Camel acts as a JMS consumer, an attacker able to publish a crafted ObjectMessage to a queue or topic consumed by a Camel application could achieve remote code execution when a deserialization gadget chain was present on the classpath. The same handling was reached transitively through camel-sjms2 (whose Sjms2Endpoint extends SjmsEndpoint) and through camel-amqp (whose AMQPJmsBinding extends JmsBinding), and by other JMS-family components built on JmsComponent such as camel-activemq and camel-activemq6. This issue affects Apache Camel: from 3.0.0 before 4.14.7, from 4.15.0 before 4.18.2, from 4.19.0 before 4.20.0. Users are recommended to upgrade to version 4.20.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.7. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.2.

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.

Apache MINA's AbstractIoBuffer.resolveClass() contains two branches, one of them (for static classes or primitive types) does not check the class at all, bypassing the classname allowlist and allowing arbitrary code to be executed. The fix checks if the class is present in the accepted class filter before calling Class.forName().  Affected versions are Apache MINA 2.0.0 <= 2.0.27, 2.1.0 <= 2.1.10, and 2.2.0 <= 2.2.5. The problem is resolved in Apache MINA 2.0.28, 2.1.11, and 2.2.6 by applying the classname allowlist earlier. Affected are applications using Apache MINA that call  IoBuffer.getObject(). Applications using Apache MINA are advised to upgrade.

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.

Jodd before 5.0.4 performs Deserialization of Untrusted JSON Data when setClassMetadataName is set.

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.

Previous versions of Apache Flex BlazeDS (4.7.2 and earlier) did not restrict which types were allowed for AMF(X) object deserialization by default. During the deserialization process code is executed that for several known types has undesired side-effects. Other, unknown types may also exhibit such behaviors. One vector in the Java standard library exists that allows an attacker to trigger possibly further exploitable Java deserialization of untrusted data. Other known vectors in third party libraries can be used to trigger remote code execution.

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.

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.

Apache James prior to version 3.7.5 and 3.8.0 exposes a JMX endpoint on localhost subject to pre-authentication deserialisation of untrusted data. Given a deserialisation gadjet, this could be leveraged as part of an exploit chain that could result in privilege escalation. Note that by default JMX endpoint is only bound locally. We recommend users to:  - Upgrade to a non-vulnerable Apache James version  - Run Apache James isolated from other processes (docker - dedicated virtual machine)  - If possible turn off JMX

Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to arrow 17.0.0 or later. If using an affected version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()). This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0. Users are recommended to upgrade to version 17.0.0, which fixes the issue.

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.

Class org.apache.sshd.server.keyprovider.SimpleGeneratorHostKeyProvider in Apache MINA SSHD <= 2.9.1 uses Java deserialization to load a serialized java.security.PrivateKey. The class is one of several implementations that an implementor using Apache MINA SSHD can choose for loading the host keys of an SSH server.

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 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.

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.

It was noticed that Apache Heron 0.20.2-incubating, Release 0.20.1-incubating, and Release v-0.20.0-incubating does not configure its YAML parser to prevent the instantiation of arbitrary types, resulting in a remote code execution vulnerabilities (CWE-502: Deserialization of Untrusted Data).

This vulnerability can affect all Dubbo users stay on version 2.7.6 or lower. An attacker can send RPC requests with unrecognized service name or method name along with some malicious parameter payloads. When the malicious parameter is deserialized, it will execute some malicious code. More details can be found below.

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.

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.

Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example user-supplied input files). This vulnerability only affects PyArrow, not other Apache Arrow implementations or bindings. It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon. If it is not possible to upgrade, we provide a separate package `pyarrow-hotfix` that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.

The Java OpenWire protocol marshaller is vulnerable to Remote Code Execution. This vulnerability may allow a remote attacker with network access to either a Java-based OpenWire broker or client to run arbitrary shell commands by manipulating serialized class types in the OpenWire protocol to cause either the client or the broker (respectively) to instantiate any class on the classpath. Users are recommended to upgrade both brokers and clients to version 5.15.16, 5.16.7, 5.17.6, or 5.18.3 which fixes this issue.

Apache Software Foundation Apache Submarine has a bug when serializing against yaml. The bug is caused by snakeyaml https://nvd.nist.gov/vuln/detail/CVE-2022-1471 . Apache Submarine uses JAXRS to define REST endpoints. In order to handle YAML requests (using application/yaml content-type), it defines a YamlEntityProvider entity provider that will process all incoming YAML requests. In order to unmarshal the request, the readFrom method is invoked, passing the entityStream containing the user-supplied data in `submarine-server/server-core/src/main/java/org/apache/submarine/server/utils/YamlUtils.java`. We have now fixed this issue in the new version by replacing to `jackson-dataformat-yaml`. This issue affects Apache Submarine: from 0.7.0 before 0.8.0. Users are recommended to upgrade to version 0.8.0, which fixes this issue. If using the version smaller than 0.8.0 and not want to upgrade, you can try cherry-pick PR https://github.com/apache/submarine/pull/1054 and rebuild the submart-server image to fix this.

Deserialization of Untrusted Data vulnerability in Apache Dubbo.This issue only affects Apache Dubbo 3.1.5. Users are recommended to upgrade to the latest version, which fixes the issue.

Apache Dubbo prior to 2.6.9 and 2.7.9 by default supports generic calls to arbitrary methods exposed by provider interfaces. These invocations are handled by the GenericFilter which will find the service and method specified in the first arguments of the invocation and use the Java Reflection API to make the final call. The signature for the $invoke or $invokeAsync methods is Ljava/lang/String;[Ljava/lang/String;[Ljava/lang/Object; where the first argument is the name of the method to invoke, the second one is an array with the parameter types for the method being invoked and the third one is an array with the actual call arguments. In addition, the caller also needs to set an RPC attachment specifying that the call is a generic call and how to decode the arguments. The possible values are: - true - raw.return - nativejava - bean - protobuf-json An attacker can control this RPC attachment and set it to nativejava to force the java deserialization of the byte array located in the third argument.

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. This unbounded deserialization can likely lead to remote code execution. The code can be run in Helix REST start and Workflow creation. Affect all the versions lower and include 1.2.0. Affected products: helix-core, helix-rest Mitigation: Short term, stop using any YAML based configuration and workflow creation.                   Long term, all Helix version bumping up to 1.3.0 

Apache Camel Netty 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.

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.

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stream that selects pickle-fallback serializer during deserialization, leading to the execution of `pickle.loads`, which is vulnerable to remote code execution. Users are recommended to upgrade to pyfory version 0.12.3 or later, which has removed pickle fallback serializer and thus fixes this 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.

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, 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.

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.

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.

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.

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.

Apache Tika before 1.14 allows Java code execution for serialized objects embedded in MATLAB files. The issue exists because Tika invokes JMatIO to do native deserialization.

Serialized-object interfaces in certain Cisco Collaboration and Social Media; Endpoint Clients and Client Software; Network Application, Service, and Acceleration; Network and Content Security Devices; Network Management and Provisioning; Routing and Switching - Enterprise and Service Provider; Unified Computing; Voice and Unified Communications Devices; Video, Streaming, TelePresence, and Transcoding Devices; Wireless; and Cisco Hosted Services products allow remote attackers to execute arbitrary commands via a crafted serialized Java object, related to the Apache Commons Collections (ACC) library.

Deserialization of Untrusted Data vulnerability in Apache Camel CassandraQL Component AggregationRepository which is vulnerable to unsafe deserialization. Under specific conditions it is possible to deserialize malicious payload.This issue affects Apache Camel: from 3.0.0 before 3.21.4, from 3.22.0 before 3.22.1, from 4.0.0 before 4.0.4, from 4.1.0 before 4.4.0. Users are recommended to upgrade to version 4.4.0, which fixes the issue. If users are on the 4.0.x LTS releases stream, then they are suggested to upgrade to 4.0.4. If users are on 3.x, they are suggested to move to 3.21.4 or 3.22.1

Deserialization of Untrusted Data vulnerability in Apache InLong.  This issue affects Apache InLong: from 1.13.0 before 2.1.0, this issue would allow an authenticated attacker to read arbitrary files by double writing the param. Users are recommended to upgrade to version 2.1.0, which fixes the issue.

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.

Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache InLong.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 https://github.com/apache/inlong/pull/7223 https://github.com/apache/inlong/pull/7223  to solve it.

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.

A Deserialization of Untrusted Data vulnerability exists in the Apache ActiveMQ NMS AMQP Client. This issue affects all versions of Apache ActiveMQ NMS AMQP up to and including 2.3.0, when establishing connections to untrusted AMQP servers. Malicious servers could exploit unbounded deserialization logic present in the client to craft responses that may lead to arbitrary code execution on the client side. Although version 2.1.0 introduced a mechanism to restrict deserialization via allow/deny lists, the protection was found to be bypassable under certain conditions. In line with Microsoft’s deprecation of binary serialization in .NET 9, the project is evaluating the removal of .NET binary serialization support from the NMS API entirely in future releases. Mitigation and Recommendations: Users are strongly encouraged to upgrade to version 2.4.0 or later, which resolves the issue. Additionally, projects depending on NMS-AMQP should migrate away from .NET binary serialization as part of a long-term hardening strategy.

Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): 2.4.0. Users are recommended to upgrade to version 2.5.0, which fixes the issue.

Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): from 2.0.0 before 2.2.0. Severity Justification: The Apache Seata security team assesses the severity of this vulnerability as "Low" due to stringent real-world mitigating factors. First, the vulnerability is strictly isolated to the Raft cluster mode, an optional and non-default feature introduced in v2.0.0, while most users rely on the unaffected traditional architecture. Second, Seata is an internal middleware; communication between TC and RM/TM occurs entirely within trusted internal networks. An attacker would require prior, unauthorized access to the Intranet to exploit this, making external exploitation highly improbable. Users are recommended to upgrade to version 2.2.0, which fixes the issue.