XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is a vulnerability which may allow a remote attacker to request data from internal resources that are not publicly available only by manipulating the processed input stream. 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.

eDeploy has RCE via cPickle deserialization of untrusted data

XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is a vulnerability which may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. 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.

FasterXML jackson-databind 2.x before 2.9.8 might allow attackers to have unspecified impact by leveraging failure to block the jboss-common-core class from polymorphic deserialization.

XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is vulnerability which may allow a remote attacker to allocate 100% CPU time on the target system depending on CPU type or parallel execution of such a payload resulting in a denial of service only by manipulating the processed input stream. 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.

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.

A Broken Access Control vulnerability in Active Job versions >= 4.2.0 allows an attacker to craft user input which can cause Active Job to deserialize it using GlobalId and give them access to information that they should not have. This vulnerability has been fixed in versions 4.2.11, 5.0.7.1, 5.1.6.1, and 5.2.1.1.

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.

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.

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.

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.

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.

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.

An issue was discovered in FasterXML jackson-databind 2.0.0 through 2.9.5. Use of Jackson default typing along with a gadget class from iBatis allows exfiltration of content. Fixed in 2.7.9.4, 2.8.11.2, and 2.9.6.

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.

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.

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.

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.

Infinispan permits improper deserialization of trusted data via XML and JSON transcoders under certain server configurations. A user with authenticated access to the server could send a malicious object to a cache configured to accept certain types of objects, achieving code execution and possible further attacks. Versions 9.0.3.Final, 9.1.7.Final, 8.2.10.Final, 9.2.2.Final, 9.3.0.Alpha1 are believed to be affected.

A deserialization flaw was found in Apache Chainsaw versions prior to 2.1.0 which could lead to malicious code execution.

A code execution vulnerability exists in the Stapler web framework used by Jenkins 2.153 and earlier, LTS 2.138.3 and earlier in stapler/core/src/main/java/org/kohsuke/stapler/MetaClass.java that allows attackers to invoke some methods on Java objects by accessing crafted URLs that were not intended to be invoked this way.

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.

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.

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.

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

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.

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.

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.

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.

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

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.

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.

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 Dubbo.This issue only affects Apache Dubbo 3.1.5. Users are recommended to upgrade to the latest version, which fixes the issue.

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.

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.