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

CoreResponseStateManager in Apache MyFaces Trinidad 1.0.0 through 1.0.13, 1.2.x before 1.2.15, 2.0.x before 2.0.2, and 2.1.x before 2.1.2 might allow attackers to conduct deserialization attacks via a crafted serialized view state string.

The Apache XML-RPC (aka ws-xmlrpc) library 3.1.3, as used in Apache Archiva, allows remote attackers to execute arbitrary code via a crafted serialized Java object in an <ex:serializable> element.

Apache Hive Metastore (HMS) uses SerializationUtilities#deserializeObjectWithTypeInformation method when filtering and fetching partitions that is unsafe and can lead to Remote Code Execution (RCE) since it allows the deserialization of arbitrary data. In real deployments, the vulnerability can be exploited only by authenticated users/clients that were able to successfully establish a connection to the Metastore. From an API perspective any code that calls the unsafe method may be vulnerable unless it performs additional prerechecks on the input arguments.

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.

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 prior to 1.15.0 are vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling "validate-serializable-objects=true" and specifying any user classes that may be serialized/deserialized with "serializable-object-filter". Enabling "validate-serializable-objects" may impact performance.

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.

In Apache Ignite 2.3 or earlier, the serialization mechanism does not have a list of classes allowed for serialization/deserialization, which makes it possible to run arbitrary code when 3-rd party vulnerable classes are present in Ignite classpath. The vulnerability can be exploited if the one sends a specially prepared form of a serialized object to one of the deserialization endpoints of some Ignite components - discovery SPI, Ignite persistence, Memcached endpoint, socket steamer.

The REST Plugin in Apache Struts 2.1.1 through 2.3.x before 2.3.34 and 2.5.x before 2.5.13 uses an XStreamHandler with an instance of XStream for deserialization without any type filtering, which can lead to Remote Code Execution when deserializing XML payloads.

The EjbObjectInputStream class in Apache TomEE before 1.7.4 and 7.x before 7.0.0-M3 allows remote attackers to execute arbitrary code via a crafted serialized object.

Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This security vulnerability is the same as CVE-2024-47552, but the version range described in the CVE-2024-47552 definition is too narrow. This issue affects Apache Seata (incubating): from 2.0.0 before 2.3.0. Users are recommended to upgrade to version 2.3.0, which fixes the issue.

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.

In Apache Solr versions 5.0.0 to 5.5.5 and 6.0.0 to 6.6.5, the Config API allows to configure the JMX server via an HTTP POST request. By pointing it to a malicious RMI server, an attacker could take advantage of Solr's unsafe deserialization to trigger remote code execution on the Solr side.

Manipulating classpath asset file URLs, an attacker could guess the path to a known file in the classpath and have it downloaded. If the attacker found the file with the value of the tapestry.hmac-passphrase configuration symbol, most probably the webapp's AppModule class, the value of this symbol could be used to craft a Java deserialization attack, thus running malicious injected Java code. The vector would be the t:formdata parameter from the Form component.

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.

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.

Deserialization of Untrusted Data vulnerability in Apache ActiveMQ NMS OpenWire Client. This issue affects Apache ActiveMQ NMS OpenWire Client before 2.1.1 when performing connections to untrusted servers. Such servers could abuse the unbounded deserialization in the client to provide malicious responses that may eventually cause arbitrary code execution on the client. Version 2.1.0 introduced a allow/denylist feature to restrict deserialization, but this feature could be bypassed. The .NET team has deprecated the built-in .NET binary serialization feature starting with .NET 9 and suggests migrating away from binary serialization. The project is considering to follow suit and drop this part of the NMS API altogether. Users are recommended to upgrade to version 2.1.1, which fixes the issue. We also recommend to migrate away from relying on .NET binary serialization as a hardening method for the future.

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability is a secondary mining bypass for CVE-2024-26579. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/11732

In CVE-2023-25194, we announced the RCE/Denial of service attack via SASL JAAS JndiLoginModule configuration in Kafka Connect API. But not only Kafka Connect API is vulnerable to this attack, the Apache Kafka brokers also have this vulnerability. To exploit this vulnerability, the attacker needs to be able to connect to the Kafka cluster and have the AlterConfigs permission on the cluster resource. 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 3.4.0, and "com.sun.security.auth.module.JndiLoginModule,com.sun.security.auth.module.LdapLoginModule" is disabled by default in in Apache Kafka 3.9.1/4.0.0

Deserialization of Untrusted Data vulnerability in Apache InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability allows attackers to bypass the security mechanisms of InLong JDBC and leads to arbitrary file reading. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/11747

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.

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 InLong. This issue affects Apache InLong: from 1.13.0 through 2.1.0. This vulnerability which can lead to JDBC Vulnerability URLEncdoe and backspace bypass. Users are advised to upgrade to Apache InLong's 2.2.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/11747

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.

Deserialization of Untrusted Data vulnerability in Apache InLong.This issue affects Apache InLong: from 1.7.0 through 1.11.0,  the attackers can bypass using malicious parameters. Users are advised to upgrade to Apache InLong's 1.12.0 or cherry-pick [1], [2] to solve it. [1] https://github.com/apache/inlong/pull/9694 [2]  https://github.com/apache/inlong/pull/9707

Path Equivalence: 'file.Name' (Internal Dot) leading to Remote Code Execution and/or Information disclosure and/or malicious content added to uploaded files via write enabled Default Servlet in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.2, from 10.1.0-M1 through 10.1.34, from 9.0.0.M1 through 9.0.98. The following versions were EOL at the time the CVE was created but are known to be affected: 8.5.0 though 8.5.100. Other, older, EOL versions may also be affected. If all of the following were true, a malicious user was able to view security sensitive files and/or inject content into those files: - writes enabled for the default servlet (disabled by default) - support for partial PUT (enabled by default) - a target URL for security sensitive uploads that was a sub-directory of a target URL for public uploads - attacker knowledge of the names of security sensitive files being uploaded - the security sensitive files also being uploaded via partial PUT If all of the following were true, a malicious user was able to perform remote code execution: - writes enabled for the default servlet (disabled by default) - support for partial PUT (enabled by default) - application was using Tomcat's file based session persistence with the default storage location - application included a library that may be leveraged in a deserialization attack Users are recommended to upgrade to version 11.0.3, 10.1.35 or 9.0.99, which fixes the issue.

A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.x before 2.9.9.2. This occurs when Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has the logback jar in the classpath.

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.

Deserialization of Untrusted Data Vulnerability in Apache Software Foundation Apache InLong. This issue affects Apache InLong: from 1.4.0 through 1.8.0, the attacker can use \t to bypass. Users are advised to upgrade to Apache InLong's 1.9.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/8814

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.

In Apache Storm versions 1.1.0 to 1.2.2, when the user is using the storm-kafka-client or storm-kafka modules, it is possible to cause the Storm UI daemon to deserialize user provided bytes into a Java class.

XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is a vulnerability where the processed stream at unmarshalling time contains type information to recreate the formerly written objects. XStream creates therefore new instances based on these type information. An attacker can manipulate the processed input stream and replace or inject objects, that result in the deletion of a file on the local host. No user is affected, who followed the recommendation to setup XStream's security framework with a whitelist limited to the minimal required types. If you rely on XStream's default blacklist of the Security Framework, you will have to use at least version 1.4.16.

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.

Apache Airflow, versions before 2.8.1, have a vulnerability that allows a potential attacker to poison the XCom data by bypassing the protection of "enable_xcom_pickling=False" configuration setting resulting in poisoned data after XCom deserialization. This vulnerability is considered low since it requires a DAG author to exploit it. Users are recommended to upgrade to version 2.8.1 or later, which fixes this issue.

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.

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.

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.

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.

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

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, 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

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.

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 

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.

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.

Any authenticated user (valid client certificate but without ACL permissions) could upload a template which contained malicious code and caused a denial of service via Java deserialization attack. The fix to properly handle Java deserialization was applied on the Apache NiFi 1.4.0 release. Users running a prior 1.x release should upgrade to the appropriate release.