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 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.
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.
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.
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
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.
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.
In Apache Log4j 2.x before 2.8.2, when using the TCP socket server or UDP socket server to receive serialized log events from another application, a specially crafted binary payload can be sent that, when deserialized, can execute arbitrary code.
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.
Apache Camel's camel-snakeyaml component is vulnerable to Java object de-serialization vulnerability. De-serializing untrusted data can lead to security flaws.
Apache Dubbo is a java based, open source RPC framework. Versions prior to 2.6.10 and 2.7.10 are vulnerable to pre-auth remote code execution via arbitrary bean manipulation in the Telnet handler. The Dubbo main service port can be used to access a Telnet Handler which offers some basic methods to collect information about the providers and methods exposed by the service and it can even allow to shutdown the service. This endpoint is unprotected. Additionally, a provider method can be invoked using the `invoke` handler. This handler uses a safe version of FastJson to process the call arguments. However, the resulting list is later processed with `PojoUtils.realize` which can be used to instantiate arbitrary classes and invoke its setters. Even though FastJson is properly protected with a default blocklist, `PojoUtils.realize` is not, and an attacker can leverage that to achieve remote code execution. Versions 2.6.10 and 2.7.10 contain fixes for this issue.
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.
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.
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 in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example, user-supplied input files). This vulnerability only affects the arrow R package, not other Apache Arrow implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to arrow 17.0.0 or later. If using an affected version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()). This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0. Users are recommended to upgrade to version 17.0.0, which fixes the issue.
The ObjectSerializationDecoder in Apache MINA uses Java’s native deserialization protocol to process incoming serialized data but lacks the necessary security checks and defenses. This vulnerability allows attackers to exploit the deserialization process by sending specially crafted malicious serialized data, potentially leading to remote code execution (RCE) attacks. This issue affects MINA core versions 2.0.X, 2.1.X and 2.2.X, and will be fixed by the releases 2.0.27, 2.1.10 and 2.2.4. It's also important to note that an application using MINA core library will only be affected if the IoBuffer#getObject() method is called, and this specific method is potentially called when adding a ProtocolCodecFilter instance using the ObjectSerializationCodecFactory class in the filter chain. If your application is specifically using those classes, you have to upgrade to the latest version of MINA core library. Upgrading will not be enough: you also need to explicitly allow the classes the decoder will accept in the ObjectSerializationDecoder instance, using one of the three new methods: /** * Accept class names where the supplied ClassNameMatcher matches for * deserialization, unless they are otherwise rejected. * * @param classNameMatcher the matcher to use */ public void accept(ClassNameMatcher classNameMatcher) /** * Accept class names that match the supplied pattern for * deserialization, unless they are otherwise rejected. * * @param pattern standard Java regexp */ public void accept(Pattern pattern) /** * Accept the wildcard specified classes for deserialization, * unless they are otherwise rejected. * * @param patterns Wildcard file name patterns as defined by * {@link org.apache.commons.io.FilenameUtils#wildcardMatch(String, String) FilenameUtils.wildcardMatch} */ public void accept(String... patterns) By default, the decoder will reject *all* classes that will be present in the incoming data. Note: The FtpServer, SSHd and Vysper sub-project are not affected by this issue.
Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): from 2.0.0 before 2.2.0. Users are recommended to upgrade to version 2.2.0, which fixes the issue.
In Apache Geode before v1.4.0, the Geode server stores application objects in serialized form. Certain cluster operations and API invocations cause these objects to be deserialized. A user with DATA:WRITE access to the cluster may be able to cause remote code execution if certain classes are present on the classpath.
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.
Deserialization of Untrusted Data vulnerability in Apache Lucene.Net.Replicator. This issue affects Apache Lucene.NET's Replicator library: from 4.8.0-beta00005 through 4.8.0-beta00016. An attacker that can intercept traffic between a replication client and server, or control the target replication node URL, can provide a specially-crafted JSON response that is deserialized as an attacker-provided exception type. This can result in remote code execution or other potential unauthorized access. Users are recommended to upgrade to version 4.8.0-beta00017, which fixes the issue.
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.
A flaw was found in jackson-databind before 2.9.10.7. FasterXML mishandles the interaction between serialization gadgets and typing. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
XML-RPC request are vulnerable to unsafe deserialization and Cross-Site Scripting issues in Apache OFBiz 17.12.03
Apache Camel's Jackson and JacksonXML unmarshalling operation are vulnerable to Remote Code Execution attacks.
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.
In writeToParcel and readFromParcel of OutputConfiguration.java, there is a permission bypass due to mismatched serialization. This could lead to a local escalation of privilege where the user can start an activity with system privileges, with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 8.0, 8.1. Android ID: A-69683251.
An issue was discovered in Druva 6.9.0 for macOS, allows attackers to gain escalated local privileges via the inSyncUpgradeDaemon.
In createFromParcel of GpsNavigationMessage.java, there is a possible Parcel serialization/deserialization mismatch. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-9Android ID: A-196970023
In ExternalVibration of ExternalVibration.java, there is a possible activation of an arbitrary intent due to unsafe deserialization. This could lead to local escalation of privilege to system_server with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-140417434
Unsafe usage of .NET deserialization in Named Pipe message processing allows privilege escalation to NT AUTHORITY\SYSTEM for a local attacker. Affected product is TinyWall, all versions up to and including 2.1.12. Fixed in version 2.1.13.
Deserialization of untrusted data in Veeam Agent for Windows 2.0, 2.1, 2.2, 3.0.2, 4.x, and 5.x allows local users to run arbitrary code with local system privileges.
* Xen Mobile through 10.8.0 includes a service listening on port 5001 within its firewall that accepts unauthenticated input. If this service is supplied with raw serialised Java objects, it deserialises them back into Java objects in memory, giving rise to a remote code execution vulnerability. NOTE: the vendor disputes that this is a vulnerability, stating it is "already mitigated by the internal firewall that limits access to configuration services to localhost.
A vulnerability in unit_deserialize of systemd allows an attacker to supply arbitrary state across systemd re-execution via NotifyAccess. This can be used to improperly influence systemd execution and possibly lead to root privilege escalation. Affected releases are systemd versions up to and including 239.
In Eclipse OpenJ9 version 0.8, users other than the process owner may be able to use Java Attach API to connect to an Eclipse OpenJ9 or IBM JVM on the same machine and use Attach API operations, which includes the ability to execute untrusted native code. Attach API is enabled by default on Windows, Linux and AIX JVMs and can be disabled using the command line option -Dcom.ibm.tools.attach.enable=no.
A Deserialization of Untrusted Data Privilege Escalation vulnerability in Trend Micro Security 2018 (Consumer) products could allow a local attacker to escalate privileges on vulnerable installations. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit the vulnerability.
The Dolby DAX2 and DAX3 API services are vulnerable to a privilege escalation vulnerability that allows a normal user to get arbitrary system privileges, because these services have .NET code for DCOM. This affects Dolby Audio X2 (DAX2) 1.0, 1.0.1, 1.1, 1.1.1, 1.2, 1.3, 1.3.1, 1.3.2, 1.4, 1.4.1, 1.4.2, 1.4.3, and 1.4.4 and Dolby Audio X3 (DAX3) 1.0 and 1.1. An example affected driver is Realtek Audio Driver 6.0.1.7898 on a Lenovo P50.
IBM Data Server Driver for JDBC and SQLJ (IBM DB2 for Linux, UNIX and Windows 9.7, 10.1, 10.5, and 11.1) deserializes the contents of /tmp/connlicj.bin which leads to object injection and potentially arbitrary code execution depending on the classpath. IBM X-Force ID: 133999.
This vulnerability allows local attackers to escalate privileges on affected installations of SolarWinds Patch Manager 2020.2.1. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the DataGridService WCF service. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of Administrator. Was ZDI-CAN-12009.
This vulnerability allows local attackers to escalate privileges on affected installations of SolarWinds Orion Virtual Infrastructure Monitor 2020.2. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the OneTimeJobSchedulerEventsService WCF service. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of SYSTEM. Was ZDI-CAN-11955.