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.

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.

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.

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).

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 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.

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.

Apache Tapestry 3.x allows deserialization of untrusted data, leading to remote code execution. This issue is similar to but distinct from CVE-2020-17531, which applies the the (also unsupported) 4.x version line. NOTE: This vulnerability only affects Apache Tapestry version line 3.x, which is no longer supported by the maintainer. Users are recommended to upgrade to a supported version line of Apache Tapestry.

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 camel-hessian component in Apache Camel 2.x before 2.19.4 and 2.20.x before 2.20.1 is vulnerable to Java object de-serialisation vulnerability. De-serializing untrusted data can lead to security flaws.

The JMX server embedded in Apache James, also used by the command line client is exposed to a java de-serialization issue, and thus can be used to execute arbitrary commands. As James exposes JMX socket by default only on local-host, this vulnerability can only be used for privilege escalation. Release 3.0.1 upgrades the incriminated library.

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.

Apache Jena SDB 3.17.0 and earlier is vulnerable to a JDBC Deserialisation attack if the attacker is able to control the JDBC URL used or cause the underlying database server to return malicious data. The mySQL JDBC driver in particular is known to be vulnerable to this class of attack. As a result an application using Apache Jena SDB can be subject to RCE when connected to a malicious database server. Apache Jena SDB has been EOL since December 2020 and users should migrate to alternative options e.g. Apache Jena TDB 2.

The camel-castor component in Apache Camel 2.x before 2.19.4 and 2.20.x before 2.20.1 is vulnerable to Java object de-serialisation vulnerability. De-serializing untrusted data can lead to security flaws.

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later.

Deserialization of Untrusted Data vulnerability in Apache InLong.This issue affects Apache InLong: from 1.8.0 through 1.10.0, the attackers can use the specific payload to read from an arbitrary file. Users are advised to upgrade to Apache InLong's 1.11.0 or cherry-pick [1] to solve it. [1] https://github.com/apache/inlong/pull/9673

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

Apache Brooklyn uses the SnakeYAML library for parsing YAML inputs. SnakeYAML allows the use of YAML tags to indicate that SnakeYAML should unmarshal data to a Java type. In the default configuration in Brooklyn before 0.10.0, SnakeYAML will allow unmarshalling to any Java type available on the classpath. This could provide an authenticated user with a means to cause the JVM running Brooklyn to load and run Java code without detection by Brooklyn. Such code would have the privileges of the Java process running Brooklyn, including the ability to open files and network connections, and execute system commands. There is known to be a proof-of-concept exploit using this vulnerability.

It was found that the Karaf container used by Red Hat JBoss Fuse 6.x, and Red Hat JBoss A-MQ 6.x, deserializes objects passed to MBeans via JMX operations. An attacker could use this flaw to execute remote code on the server as the user running the Java Virtual Machine if the target MBean contain deserialization gadgets in its classpath.

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.

Apache OpenMeetings before 3.1.2 is vulnerable to Remote Code Execution via RMI deserialization attack.

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.

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.

When an application with unsupported Codehaus versions of Groovy from 1.7.0 to 2.4.3, Apache Groovy 2.4.4 to 2.4.7 on classpath uses standard Java serialization mechanisms, e.g. to communicate between servers or to store local data, it was possible for an attacker to bake a special serialized object that will execute code directly when deserialized. All applications which rely on serialization and do not isolate the code which deserializes objects were subject to this vulnerability.

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.

Deserialization of Untrusted Data vulnerability in Apache Camel SQL ComponentThis 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 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

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.

Deserialization of Untrusted Data vulnerability in Apache Seata.  When developers disable authentication on the Seata-Server and do not use the Seata client SDK dependencies, they may construct uncontrolled serialized malicious requests by directly sending bytecode based on the Seata private protocol. This issue affects Apache Seata: 2.0.0, from 1.0.0 through 1.8.0. Users are recommended to upgrade to version 2.1.0/1.8.1, which fixes the issue.

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.

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.

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.

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 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.

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).

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.

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.

Apache jUDDI uses several classes related to Java's Remote Method Invocation (RMI) which (as an extension to UDDI) provides an alternate transport for accessing UDDI services. RMI uses the default Java serialization mechanism to pass parameters in RMI invocations. A remote attacker can send a malicious serialized object to the above RMI entries. The objects get deserialized without any check on the incoming data. In the worst case, it may let the attacker run arbitrary code remotely. For both jUDDI web service applications and jUDDI clients, the usage of RMI is disabled by default. Since this is an optional feature and an extension to the UDDI protocol, the likelihood of impact is low. Starting with 3.3.10, all RMI related code was removed.

In Apache Dubbo, users may choose to use the Hessian protocol. The Hessian protocol is implemented on top of HTTP and passes the body of a POST request directly to a HessianSkeleton: New HessianSkeleton are created without any configuration of the serialization factory and therefore without applying the dubbo properties for applying allowed or blocked type lists. In addition, the generic service is always exposed and therefore attackers do not need to figure out a valid service/method name pair. This is fixed in 2.7.13, 2.6.10.1

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.

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 vulnerability in Apache InLong.This issue affects Apache InLong: from 1.7.0 through 1.9.0, the attackers can make a arbitrary file read attack using mysql driver. Users are advised to upgrade to Apache InLong's 1.10.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/9331

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.

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.

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.

Apache OFBiz has unsafe deserialization prior to 17.12.07 version