Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload causing the webserver to execute arbitrary code. Since Dag Authors are already highly trusted, severity of this issue is Low. Users are recommended to upgrade to Apache Airflow 3.2.0, which resolves this issue.

A bug in `BaseSerialization.deserialize()` allowed unrestricted `import_string()` of attacker-controlled class paths when the Scheduler / API Server loaded a serialized DAG: a DAG author could embed a malicious trigger into a DAG to gain remote code execution on the API Server / Scheduler process, crossing the Airflow security boundary that DAG-author code must never execute in those processes. Users are advised to upgrade to `apache-airflow` 3.3.0 or later. As a defense-in-depth mitigation, deployments where DAG-author trust is limited can restrict the `[core] allowed_deserialization_classes` config to a narrow allowlist.

FasterXML jackson-databind 2.x before 2.9.7 might allow remote attackers to execute arbitrary code by leveraging failure to block the blaze-ds-opt and blaze-ds-core classes from polymorphic deserialization.

FasterXML jackson-databind 2.x before 2.9.7 might allow remote attackers to execute arbitrary code by leveraging failure to block the slf4j-ext class from polymorphic deserialization.

FasterXML jackson-databind 2.x before 2.9.7 might allow attackers to conduct external XML entity (XXE) attacks by leveraging failure to block unspecified JDK classes from polymorphic deserialization.

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.

Apache NiFi JMS Deserialization issue because of ActiveMQ client vulnerability. Malicious JMS content could cause denial of service. See ActiveMQ CVE-2015-5254 announcement for more information. The fix to upgrade the activemq-client library to 5.15.3 was applied on the Apache NiFi 1.6.0 release. Users running a prior 1.x release should upgrade to the appropriate release.

An issue was discovered in FasterXML jackson-databind prior to 2.7.9.4, 2.8.11.2, and 2.9.6. When Default Typing is enabled (either globally or for a specific property), the service has the Oracle JDBC jar in the classpath, and an attacker can provide an LDAP service to access, it is possible to make the service execute a malicious payload.

An issue was discovered in FasterXML jackson-databind prior to 2.7.9.4, 2.8.11.2, and 2.9.6. When Default Typing is enabled (either globally or for a specific property), the service has the Jodd-db jar (for database access for the Jodd framework) in the classpath, and an attacker can provide an LDAP service to access, it is possible to make the service execute a malicious payload.

It was found that the fix for CVE-2016-9606 in versions 3.0.22 and 3.1.2 was incomplete and Yaml unmarshalling in Resteasy is still possible via `Yaml.load()` in YamlProvider.

A flaw was found in the way dic_unserialize function of glusterfs does not handle negative key length values. An attacker could use this flaw to read memory from other locations into the stored dict value.

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 Camel-Mail component is vulnerable to Camel message header injection. The custom header filter strategy used by the component (MailHeaderFilterStrategy) only filters the 'out' direction via setOutFilterStartsWith, while it does not configure the 'in' direction via setInFilterStartsWith. As a result, when a Camel application consumes mail through camel-mail (for example via from(\"imap://...\") or from(\"pop3://...\")) the inbound filter check is skipped and Camel-prefixed MIME headers are mapped unfiltered into the Exchange. An attacker who can deliver an email to a mailbox monitored by such a consumer can inject Camel-specific headers that, for some Camel components downstream of the mail consumer (such as camel-bean, camel-exec, or camel-sql), can alter the behaviour of the route. This is the same pattern that was previously addressed in camel-undertow (CVE-2025-30177) and the broader incoming-header filter (CVE-2025-27636 and CVE-2025-29891). This issue affects Apache Camel: from 3.0.0 before 4.14.6, from 4.15.0 before 4.18.1. Users are recommended to upgrade to version 4.19.0, which fixes the issue. If users are on the 4.18.x LTS releases stream, then they are suggested to upgrade to 4.18.1. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.6.

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.

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.

** 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 deserialization flaw was discovered in the jackson-databind, versions before 2.6.7.1, 2.7.9.1 and 2.8.9, which could allow an unauthenticated user to perform code execution by sending the maliciously crafted input to the readValue method of the ObjectMapper.

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.

QOS.ch Logback before 1.2.0 has a serialization vulnerability affecting the SocketServer and ServerSocketReceiver components.

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.

JsonKafkaHeaderMapper and the deprecated DefaultKafkaHeaderMapper matched type headers against trusted packages using a prefix check, meaning that trusting any package implicitly trusted all of its subpackages. Combined with Jackson's default bean deserialization, a producer could supply crafted header values that caused the consumer to deserialize arbitrary JDK types. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.

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.

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.

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.

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.

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

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.

A deserialization flaw was discovered in the jackson-databind in versions before 2.8.10 and 2.9.1, which could allow an unauthenticated user to perform code execution by sending the maliciously crafted input to the readValue method of the ObjectMapper. This issue extends the previous flaw CVE-2017-7525 by blacklisting more classes that could be used maliciously.

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.

In Jboss Application Server as shipped with Red Hat Enterprise Application Platform 5.2, it was found that the doFilter method in the ReadOnlyAccessFilter of the HTTP Invoker does not restrict classes for which it performs deserialization and thus allowing an attacker to execute arbitrary code via crafted serialized data.

Red Hat JBoss EAP version 5 is vulnerable to a deserialization of untrusted data in the JMX endpoint when deserializes the credentials passed to it. An attacker could exploit this vulnerability resulting in a denial of service attack.

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.

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

Apache Camel's Jackson and JacksonXML unmarshalling operation are vulnerable to Remote Code Execution attacks.

It was found that the JMX endpoint of Red Hat JBoss Fuse 6, and Red Hat A-MQ 6 deserializes the credentials passed to it. An attacker could use this flaw to launch a denial of service attack.

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.

Apache OFBiz has unsafe deserialization prior to 17.12.07 version An unauthenticated user can perform an RCE attack

SerializableProvider in RESTEasy in Red Hat Enterprise Linux Desktop 7, Red Hat Enterprise Linux HPC Node 7, Red Hat Enterprise Linux Server 7, and Red Hat Enterprise Linux Workstation 7 allows remote attackers to execute arbitrary code.

The getObject method of the javax.jms.ObjectMessage class in the (1) JMS Core client, (2) Artemis broker, and (3) Artemis REST component in Apache ActiveMQ Artemis before 1.4.0 might allow remote authenticated users with permission to send messages to the Artemis broker to deserialize arbitrary objects and execute arbitrary code by leveraging gadget classes being present on the Artemis classpath.

Apache OFBiz has unsafe deserialization prior to 17.12.07 version

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.

Deserialization of Untrusted Data vulnerability of Apache ShardingSphere-UI allows an attacker to inject outer link resources. This issue affects Apache ShardingSphere-UI Apache ShardingSphere-UI version 4.1.1 and later versions; Apache ShardingSphere-UI versions prior to 5.0.0.

Red Hat JBoss A-MQ 6.x; BPM Suite (BPMS) 6.x; BRMS 6.x and 5.x; Data Grid (JDG) 6.x; Data Virtualization (JDV) 6.x and 5.x; Enterprise Application Platform 6.x, 5.x, and 4.3.x; Fuse 6.x; Fuse Service Works (FSW) 6.x; Operations Network (JBoss ON) 3.x; Portal 6.x; SOA Platform (SOA-P) 5.x; Web Server (JWS) 3.x; Red Hat OpenShift/xPAAS 3.x; and Red Hat Subscription Asset Manager 1.3 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 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.

A flaw was found in the fabric8-maven-plugin 4.0.0 and later. When using a wildfly-swarm or thorntail custom configuration, a malicious YAML configuration file on the local machine executing the maven plug-in could allow for deserialization of untrusted data resulting in arbitrary code execution. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

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.

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.

fw_dbus.py in system-config-firewall 1.2.29 and earlier uses the pickle Python module unsafely during D-Bus communication between the GUI and the backend, which might allow local users to gain privileges via a crafted serialized object.

Deserialization of Untrusted Data vulnerability in Apache Lucene Replicator. This issue affects Apache Lucene's replicator module: from 4.4.0 before 9.12.0. The deprecated org.apache.lucene.replicator.http package is affected. The org.apache.lucene.replicator.nrt package is not affected. Users are recommended to upgrade to version 9.12.0, which fixes the issue. The deserialization can only be triggered if users actively deploy an network-accessible implementation and a corresponding client using a HTTP library that uses the API (e.g., a custom servlet and HTTPClient). Java serialization filters (such as -Djdk.serialFilter='!*' on the commandline) can mitigate the issue on vulnerable versions without impacting functionality.

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).