A flaw was found in Red Hat Quay's handling of resumable container image layer uploads. The upload process stores intermediate data in the database using a format that, if tampered with, could allow an attacker to execute arbitrary code on the Quay server.

Vulnerability in the Java SE, Java SE Embedded product of Oracle Java SE (component: Serialization). Supported versions that are affected are Java SE: 7u241, 8u231, 11.0.5 and 13.0.1; Java SE Embedded: 8u231. Difficult to exploit vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Java SE, Java SE Embedded. Successful attacks of this vulnerability can result in takeover of Java SE, Java SE Embedded. Note: This vulnerability applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets (in Java SE 8), that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. This vulnerability can also be exploited by using APIs in the specified Component, e.g., through a web service which supplies data to the APIs. CVSS v3.0 Base Score 8.1 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H).

In Apache Ignite before 2.4.8 and 2.5.x before 2.5.3, 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 GridClientJdkMarshaller deserialization endpoint.

The PooledInvokerServlet in JBoss EAP 4.x and 5.x allows remote attackers to execute arbitrary code via a crafted serialized payload.

Deserialization of Untrusted Data vulnerability in Apache DolphinScheduler RPC module. This issue affects Apache DolphinScheduler:  Version >= 3.2.0 and < 3.3.1. Attackers who can access the Master or Worker nodes can compromise the system by creating a StandardRpcRequest, injecting a malicious class type into it, and sending RPC requests to the DolphinScheduler Master/Worker nodes. Users are recommended to upgrade to version [3.3.1], which fixes the issue.

The Jenkins CLI subsystem in Jenkins before 1.638 and LTS before 1.625.2 allows remote attackers to execute arbitrary code via a crafted serialized Java object, related to a problematic webapps/ROOT/WEB-INF/lib/commons-collections-*.jar file and the "Groovy variant in 'ysoserial'".

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.

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.

A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.0.0 through 2.9.10. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has the commons-dbcp (1.4) jar in the classpath, and an attacker can find an RMI service endpoint to access, it is possible to make the service execute a malicious payload. This issue exists because of org.apache.commons.dbcp.datasources.SharedPoolDataSource and org.apache.commons.dbcp.datasources.PerUserPoolDataSource mishandling.

A Polymorphic Typing issue was discovered in FasterXML jackson-databind before 2.9.10. It is related to com.zaxxer.hikari.HikariDataSource. This is a different vulnerability than CVE-2019-14540.

A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.0.0 through 2.9.10. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has the p6spy (3.8.6) jar in the classpath, and an attacker can find an RMI service endpoint to access, it is possible to make the service execute a malicious payload. This issue exists because of com.p6spy.engine.spy.P6DataSource mishandling.

A Polymorphic Typing issue was discovered in FasterXML jackson-databind before 2.9.10. It is related to net.sf.ehcache.hibernate.EhcacheJtaTransactionManagerLookup.

JMSSink in all versions of Log4j 1.x is vulnerable to deserialization of untrusted data when the attacker has write access to the Log4j configuration or if the configuration references an LDAP service the attacker has access to. The attacker can provide a TopicConnectionFactoryBindingName configuration causing JMSSink to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-4104. Note this issue only affects Log4j 1.x when specifically configured to use JMSSink, which is not the default. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.

A vulnerability in Apache Fory allows a remote attacker to cause a Denial of Service (DoS). The issue stems from the insecure deserialization of untrusted data. An attacker can supply a large, specially crafted data payload that, when processed, consumes an excessive amount of CPU resources during the deserialization process. This leads to CPU exhaustion, rendering the application or system using the Apache Fory library unresponsive and unavailable to legitimate users. Users of Apache Fory are strongly advised to upgrade to version 0.12.2 or later to mitigate this vulnerability. Developers of libraries and applications that depend on Apache Fory should update their dependency requirements to Apache Fory 0.12.2 or later and release new versions of their software.

A flaw was discovered in jackson-databind in versions before 2.9.10, 2.8.11.5 and 2.6.7.3, where it would permit polymorphic deserialization of a malicious object using commons-configuration 1 and 2 JNDI classes. An attacker could use this flaw to execute arbitrary code.

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.

Deserialization of Untrusted Data vulnerability in Apache Jackrabbit Core and Apache Jackrabbit JCR Commons. This issue affects Apache Jackrabbit Core: from 1.0.0 through 2.22.1; Apache Jackrabbit JCR Commons: from 1.0.0 through 2.22.1. Deployments that accept JNDI URIs for JCR lookup from untrusted users allows them to inject malicious JNDI references, potentially leading to arbitrary code execution through deserialization of untrusted data. Users are recommended to upgrade to version 2.22.2. JCR lookup through JNDI has been disabled by default in 2.22.2. Users of this feature need to enable it explicitly and are adviced to review their use of JNDI URI for JCR lookup.

This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server. Details The vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization. The attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability. Proof of Concept: 1. Run Spark with event logging enabled, writing to a writable directory (spark-logs). 2. Inject the following JSON at the beginning of an event log file: { "Event": "org.apache.hive.jdbc.HiveConnection", "uri": "jdbc:hive2://<IP>:<PORT>/", "info": { "hive.metastore.uris": "thrift://<IP>:<PORT>" } } 3. Start the Spark History Server with logs pointing to the modified directory. 4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection. Impact An attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.

A flaw was found where some utility classes in Drools core did not use proper safeguards when deserializing data. This flaw allows an authenticated attacker to construct malicious serialized objects (usually called gadgets) and achieve code execution on the server.

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.

eDeploy has RCE via cPickle deserialization of untrusted data

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.

A series of deserialization vulnerabilities have been discovered in Codehaus 1.9.x implemented in EAP 7. This CVE fixes CVE-2017-17485, CVE-2017-7525, CVE-2017-15095, CVE-2018-5968, CVE-2018-7489, CVE-2018-1000873, CVE-2019-12086 reported for FasterXML jackson-databind by implementing a whitelist approach that will mitigate these vulnerabilities and future ones alike.

The fix for CVE-2026-41409 was not applied to the 2.1.X and 2.2.X branches. Here was the original issue description: 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 2.1.0 <= 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 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 2.1.0 <= 2.1.110, 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

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.

A further incomplete fix for a previous advisory CVE-2026-44417 (Untrusted JMS configuration can lead to RCE) for Apache CXF has been identified, which can allow code execution capabilities, if untrusted users are allowed to configure JMS for Apache CXF. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue.

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.

It was found that the original fix for log4j CVE-2021-44228 and CVE-2021-45046 in the OpenShift metering hive containers was incomplete, as not all JndiLookup.class files were removed. This CVE only applies to the OpenShift Metering hive container images, shipped in OpenShift 4.8, 4.7 and 4.6.

A arbitrary code execution flaw was found in the Fabric 8 Kubernetes client affecting versions 5.0.0-beta-1 and above. Due to an improperly configured YAML parsing, this will allow a local and privileged attacker to supply malicious YAML.

In logback version 1.2.7 and prior versions, an attacker with the required privileges to edit configurations files could craft a malicious configuration allowing to execute arbitrary code loaded from LDAP servers.

JMSAppender in Log4j 1.2 is vulnerable to deserialization of untrusted data when the attacker has write access to the Log4j configuration. The attacker can provide TopicBindingName and TopicConnectionFactoryBindingName configurations causing JMSAppender to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-44228. Note this issue only affects Log4j 1.2 when specifically configured to use JMSAppender, which is not the default. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.

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

ZDRES-232: resolveProxyClass Not Overridden - acceptMatchers Filter Bypass via java.lang.reflect.Proxy Assessment: Fully addressed. When the serialised stream contains a TC_PROXYCLASSDESC (the marker for a java.lang.reflect.Proxy ), JDK’s ObjectInputStream.readProxyDesc() is dispatched. JDK then calls the default ObjectInputStream.resolveProxyClass(interfaces) implementation, which performs Class.forName(intf, false, latestUserDefinedLoader()) for EACH interface name and constructs the proxy class — bypassing the accepted classes list . ZDRES-233: Class.forName(name, initialize=true, classLoader) in readClassDescriptor Triggers Static Initialiser of Allow-Listed Classes Assessment: Fully addressed. For ANY class on the allow-list, deserialising a stream that names it triggers the class’s (static initialiser) BEFORE any instance is constructed. This means an attacker who supplies a class name on the allow-list (e.g., the developer wrote accept(“com.myapp.*") , attacker supplies com.myapp.SomeClass ) causes <clinit> of SomeClass — and many real-world classes have side-effecting static initialisers Both issues have been fixed.

In Apache Commons Beanutils 1.9.2, a special BeanIntrospector class was added which allows suppressing the ability for an attacker to access the classloader via the class property available on all Java objects. We, however were not using this by default characteristic of the PropertyUtilsBean.

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. 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 2.3.0, which fixes the issue.

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.

Apache Airflow's scheduler-side deadline-reference decoder (`SerializedCustomReference.deserialize_reference`) imported and dispatched arbitrary class paths drawn from DAG-author-controlled serialized state without an allowlist or plugin-registry gate. A DAG author whose code reaches the scheduler — the default on single-host deployments where the DAG bundle is importable from the scheduler process — could embed a custom `DeadlineReference` whose serialized form named an attacker-controlled module path, causing the scheduler to `import_string(...)` and instantiate that class with a live SQLAlchemy session attached. Affects deployments where DAG-author code is less trusted than the scheduler process. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.

The Dubbo Provider will check the incoming request and the corresponding serialization type of this request meet the configuration set by the server. But there's an exception that the attacker can use to skip the security check (when enabled) and reaching a deserialization operation with native java serialization. Apache Dubbo 2.7.13, 3.0.2 fixed this issue by quickly fail when any unrecognized request was found.

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

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 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

A remote code execution vulnerability exists where a malicious Raft node can exploit insecure Hessian deserialization within the PD store. The fix enforces IP-based authentication to restrict cluster membership and implements a strict class whitelist to harden the Hessian serialization process against object injection attacks. Users are recommended to upgrade to version 1.7.0, which fixes the issue.

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

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.

Unauthenticated RCE is possible when JMeter is used in distributed mode (-r or -R command line options). Attacker can establish a RMI connection to a jmeter-server using RemoteJMeterEngine and proceed with an attack using untrusted data deserialization. This only affect tests running in Distributed mode. Note that versions before 4.0 are not able to encrypt traffic between the nodes, nor authenticate the participating nodes so upgrade to JMeter 5.1 is also advised.