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 bug in Apache Airflow's XCom PATCH endpoint `PATCH /api/v2/xcomEntries/{key}` allowed an authenticated UI/API user with XCom write permission on a Dag to set XCom entries under reserved key names (e.g. `return_value`) that the matching POST endpoint already validated against `FORBIDDEN_XCOM_KEYS`. The endpoint also accepted serialized payload shapes the triggerer's deserializer treats as code; combined, this allowed RCE on the triggerer when the affected task next deferred. Affects deployments where untrusted users have XCom write permission on Dags that defer to the triggerer. This is a fix-bypass of CVE-2026-33858: PR #64148 added the `FORBIDDEN_XCOM_KEYS` validator only on the POST/set path; the PATCH path was not covered. Users who already upgraded for CVE-2026-33858 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the PATCH-path bypass.

Deserialization of Untrusted Data vulnerability in Apache ShardingSphere-Agent, which allows attackers to execute arbitrary code by constructing a special YAML configuration file. The attacker needs to have permission to modify the ShardingSphere Agent YAML configuration file on the target machine, and the target machine can access the URL with the arbitrary code JAR. An attacker can use SnakeYAML to deserialize java.net.URLClassLoader and make it load a JAR from a specified URL, and then deserialize javax.script.ScriptEngineManager to load code using that ClassLoader. When the ShardingSphere JVM process starts and uses the ShardingSphere-Agent, the arbitrary code specified by the attacker will be executed during the deserialization of the YAML configuration file by the Agent. This issue affects ShardingSphere-Agent: through 5.3.2. This vulnerability is fixed in Apache ShardingSphere 5.4.0.

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.

ZKConfigurationStore which is optionally used by CapacityScheduler of Apache Hadoop YARN deserializes data obtained from ZooKeeper without validation. An attacker having access to ZooKeeper can run arbitrary commands as YARN user by exploiting this. Users should upgrade to Apache Hadoop 2.10.2, 3.2.4, 3.3.4 or later (containing YARN-11126) if ZKConfigurationStore is used.

The ConsulRegistry in the camel-consul component (class org.apache.camel.component.consul.ConsulRegistry and its inner ConsulRegistryUtils.deserialize method) read Java-serialized values from the Consul KV store and passed them to ObjectInputStream.readObject() without configuring an ObjectInputFilter. An attacker who can write to the Consul KV store backing a Camel ConsulRegistry instance could inject a malicious serialized Java object that is deserialized the next time Camel performs a lookup against that registry, leading to arbitrary code execution in the Camel process. The issue mirrors the class of vulnerability already addressed for other Camel components in CVE-2024-22369, CVE-2024-23114 and CVE-2026-25747, and was overlooked during the original remediation of those CVEs. 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 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.6. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.1.

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.

The camel-mina component's MinaConverter.toObjectInput(IoBuffer) type converter wraps an IoBuffer in a java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. When a Camel route uses camel-mina as a TCP or UDP consumer and requests conversion to ObjectInput (for example via getBody(ObjectInput.class) or @Body ObjectInput), an attacker sending a crafted serialized Java object over the network to the MINA consumer port can trigger arbitrary code execution in the context of the application during readObject(). This issue affects Apache Camel: from 3.0.0 before 4.14.6, from 4.15.0 before 4.18.2, from 4.19.0 before 4.20.0. Users are recommended to upgrade to version 4.20.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.6. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.2.

Hertzbeat is an open source, real-time monitoring system. Hertzbeat has an authenticated (user role) RCE via unsafe deserialization in /api/monitors/import. This vulnerability is fixed in 1.6.0.

Deserialization of Untrusted Data vulnerability in Apache Camel PQC component. The camel-pqc component persists post-quantum key metadata (KeyMetadata) through pluggable KeyLifecycleManager implementations. HashicorpVaultKeyLifecycleManager and AwsSecretsManagerKeyLifecycleManager read that metadata back from the configured secret backend by deserializing a Base64-wrapped value with a raw java.io.ObjectInputStream.readObject() and no ObjectInputFilter or class allow-list; the cast to KeyMetadata happens only after readObject() returns, so any readObject() side effects in a crafted object run before the type check. The same unfiltered legacy-migration read also remained in FileBasedKeyLifecycleManager (for the stored KeyPair and KeyMetadata). A principal who can write to the operator-controlled backend that holds these values - the HashiCorp Vault KV path, or the AWS Secrets Manager secret (requiring a Vault token or secretsmanager:PutSecretValue) - could store a crafted serialized object that is deserialized during normal key-lifecycle operations, potentially leading to code execution in the context of the application that manages the keys. This is an incomplete-remediation follow-on to CVE-2026-40048 (CAMEL-23200), which changed FileBasedKeyLifecycleManager to store metadata as JSON / PKCS#8 / X.509 but did not add an ObjectInputFilter, did not cover the Vault and AWS sibling managers, and left FileBasedKeyLifecycleManager's own legacy-migration deserialization unfiltered. This issue affects Apache Camel: from 4.18.0 before 4.18.3, from 4.19.0 before 4.21.0. Users are recommended to upgrade to version 4.21.0, which fixes the issue. If users are on the 4.18.x LTS releases stream, then they are suggested to upgrade to 4.18.3. For deployments that cannot upgrade immediately, restrict write access to the key backend so that only the application's own identity can write the camel-pqc secrets (least-privilege HashiCorp Vault policies and secretsmanager:PutSecretValue IAM), and keep the PQC key material in a backend separate from any data that less-trusted principals can write.

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.

Apache NiFi 1.20.0 through 2.6.0 include the GetAsanaObject Processor, which requires integration with a configurable Distribute Map Cache Client Service for storing and retrieving state information. The GetAsanaObject Processor used generic Java Object serialization and deserialization without filtering. Unfiltered Java object deserialization does not provide protection against crafted state information stored in the cache server configured for GetAsanaObject. Exploitation requires an Apache NiFi system running with the GetAsanaObject Processor, and direct access to the configured cache server. Upgrading to Apache NiFi 2.7.0 is the recommended mitigation, which replaces Java Object serialization with JSON serialization. Removing the GetAsanaObject Processor located in the nifi-asana-processors-nar bundle also prevents exploitation.

In Apache Linkis <=1.3.0 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 new datasource with a MySQL data source and malicious parameters. Therefore, the parameters in the jdbc url should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected. We recommend users to upgrade the version of Linkis to version 1.3.1.

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.

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.

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.

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.

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.

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.

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.

Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache InLong. It could be triggered by authenticated users of InLong, you could refer to [1] to know more about this vulnerability. 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 [2] to solve it. [1]  https://programmer.help/blogs/jdbc-deserialization-vulnerability-learning.html https://programmer.help/blogs/jdbc-deserialization-vulnerability-learning.html [2] https://github.com/apache/inlong/pull/7422 https://github.com/apache/inlong/pull/7422

SnakeYaml Deser Load Malicious xml rce vulnerability in Apache HertzBeat (incubating).  This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat (incubating): before 1.6.0. Users are recommended to upgrade to version 1.6.0, which fixes the issue.

Deserialization of Untrusted Data vulnerability in Apache HertzBeat. This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat: before 1.6.1. Users are recommended to upgrade to version 1.6.1, which fixes the issue.

The camel-infinispan component's ProtoStream-based remote aggregation repository deserializes data read from a remote Infinispan cache using java.io.ObjectInputStream without applying any ObjectInputFilter. An attacker who can write to the Infinispan cache used by a Camel application can inject a crafted serialized Java object that, when read during normal aggregation repository operations such as get or recover, results in arbitrary code execution in the context of the application. This issue affects Apache Camel: from 4.0.0 before 4.14.7, from 4.15.0 before 4.18.2, from 4.19.0 before 4.20.0. Users are recommended to upgrade to version 4.20.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.7. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.2. The JIRA ticket: https://issues.apache.org/jira/browse/CAMEL-23322 refers to the various commits that resolved the issue, and have more details. This issue follows the same class of vulnerability previously addressed in CVE-2024-22369, CVE-2024-23114 and CVE-2026-25747.

Deserialization of Untrusted Data vulnerability in Apache Storm. Versions Affected: before 2.8.6. Description: When processing topology credentials submitted via the Nimbus Thrift API, Storm deserializes the base64-encoded TGT blob using ObjectInputStream.readObject() without any class filtering or validation. An authenticated user with topology submission rights could supply a crafted serialized object in the "TGT" credential field, leading to remote code execution in both the Nimbus and Worker JVMs. Mitigation: 2.x users should upgrade to 2.8.6. Users who cannot upgrade immediately should monkey-patch an ObjectInputFilter allow-list to ClientAuthUtils.deserializeKerberosTicket() restricting deserialized classes to javax.security.auth.kerberos.KerberosTicket and its known dependencies. A guide on how to do this is available in the release notes of 2.8.6. Credit: This issue was discovered by K.

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.

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.

Deserialization of Untrusted Data vulnerability in Apache Camel LevelDB component. The Camel-LevelDB DefaultLevelDBSerializer class deserializes data read from the LevelDB aggregation repository using java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. An attacker who can write to the LevelDB database files used by a Camel application can inject a crafted serialized Java object that, when deserialized during normal aggregation repository operations, results in arbitrary code execution in the context of the application. This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.5, from 4.15.0 before 4.18.0. Users are recommended to upgrade to version 4.18.0, which fixes the issue. For the 4.10.x LTS releases, users are recommended to upgrade to 4.10.9, while for 4.14.x LTS releases, users are recommended to upgrade to 4.14.5

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

Deserialization of Untrusted Data, Improper Input Validation vulnerability in Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK, Apache UIMA Java SDK.This issue affects Apache UIMA Java SDK: before 3.5.0. Users are recommended to upgrade to version 3.5.0, which fixes the issue. There are several locations in the code where serialized Java objects are deserialized without verifying the data. This affects in particular: * the deserialization of a Java-serialized CAS, but also other binary CAS formats that include TSI information using the CasIOUtils class; * the CAS Editor Eclipse plugin which uses the the CasIOUtils class to load data; * the deserialization of a Java-serialized CAS of the Vinci Analysis Engine service which can receive using Java-serialized CAS objects over network connections; * the CasAnnotationViewerApplet and the CasTreeViewerApplet; * the checkpointing feature of the CPE module. Note that the UIMA framework by default does not start any remotely accessible services (i.e. Vinci) that would be vulnerable to this issue. A user or developer would need to make an active choice to start such a service. However, users or developers may use the CasIOUtils in their own applications and services to parse serialized CAS data. They are affected by this issue unless they ensure that the data passed to CasIOUtils is not a serialized Java object. When using Vinci or using CasIOUtils in own services/applications, the unrestricted deserialization of Java-serialized CAS files may allow arbitrary (remote) code execution. As a remedy, it is possible to set up a global or context-specific ObjectInputFilter (cf. https://openjdk.org/jeps/290  and  https://openjdk.org/jeps/415 ) if running UIMA on a Java version that supports it. Note that Java 1.8 does not support the ObjectInputFilter, so there is no remedy when running on this out-of-support platform. An upgrade to a recent Java version is strongly recommended if you need to secure an UIMA version that is affected by this issue. To mitigate the issue on a Java 9+ platform, you can configure a filter pattern through the "jdk.serialFilter" system property using a semicolon as a separator: To allow deserializing Java-serialized binary CASes, add the classes: * org.apache.uima.cas.impl.CASCompleteSerializer * org.apache.uima.cas.impl.CASMgrSerializer * org.apache.uima.cas.impl.CASSerializer * java.lang.String To allow deserializing CPE Checkpoint data, add the following classes (and any custom classes your application uses to store its checkpoints): * org.apache.uima.collection.impl.cpm.CheckpointData * org.apache.uima.util.ProcessTrace * org.apache.uima.util.impl.ProcessTrace_impl * org.apache.uima.collection.base_cpm.SynchPoint Make sure to use "!*" as the final component to the filter pattern to disallow deserialization of any classes not listed in the pattern. Apache UIMA 3.5.0 uses tightly scoped ObjectInputFilters when reading Java-serialized data depending on the type of data being expected. Configuring a global filter is not necessary with this version.

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 REST interface in Apache StreamPipes (versions 0.69.0 to 0.91.0) was not properly restricted to admin-only access. This allowed a non-admin user with valid login credentials to elevate privileges beyond the initially assigned roles. The issue is resolved by upgrading to StreamPipes 0.92.0.

In Apache Ozone before 1.2.0, Authenticated users with valid Ozone S3 credentials can create specific OM requests, impersonating any other user.

SQL injection in Log4cxx when using the ODBC appender to send log messages to a database.  No fields sent to the database were properly escaped for SQL injection.  This has been the case since at least version 0.9.0(released 2003-08-06) Note that Log4cxx is a C++ framework, so only C++ applications are affected. Before version 1.1.0, the ODBC appender was automatically part of Log4cxx if the library was found when compiling the library.  As of version 1.1.0, this must be both explicitly enabled in order to be compiled in. Three preconditions must be met for this vulnerability to be possible: 1. Log4cxx compiled with ODBC support(before version 1.1.0, this was auto-detected at compile time) 2. ODBCAppender enabled for logging messages to, generally done via a config file 3. User input is logged at some point. If your application does not have user input, it is unlikely to be affected. Users are recommended to upgrade to version 1.1.0 which properly binds the parameters to the SQL statement, or migrate to the new DBAppender class which supports an ODBC connection in addition to other databases. Note that this fix does require a configuration file update, as the old configuration files will not configure properly.  An example is shown below, and more information may be found in the Log4cxx documentation on the ODBCAppender. Example of old configuration snippet: <appender name="SqlODBCAppender" class="ODBCAppender">     <param name="sql" value="INSERT INTO logs (message) VALUES ('%m')" />     ... other params here ... </appender> The migrated configuration snippet with new ColumnMapping parameters: <appender name="SqlODBCAppender" class="ODBCAppender">     <param name="sql" value="INSERT INTO logs (message) VALUES (?)" />     <param name="ColumnMapping" value="message"/>     ... other params here ... </appender>

File access paths in configuration files uploaded by users with administrator access are not validated. This issue affects Apache Jena version up to 5.4.0. Users are recommended to upgrade to version 5.5.0, which does not allow arbitrary configuration upload.

Apache Dubbo supports various rules to support configuration override or traffic routing (called routing in Dubbo). These rules are loaded into the configuration center (eg: Zookeeper, Nacos, ...) and retrieved by the customers when making a request in order to find the right endpoint. When parsing these YAML rules, Dubbo customers will use SnakeYAML library to load the rules which by default will enable calling arbitrary constructors. An attacker with access to the configuration center he will be able to poison the rule so when retrieved by the consumers, it will get RCE on all of them. This was fixed in Dubbo 2.7.13, 3.0.2

While investigating a bug report on Apache Superset, it was determined that an authenticated user could craft requests via a number of templated text fields in the product that would allow arbitrary access to Python’s `os` package in the web application process in versions < 0.37.1. It was thus possible for an authenticated user to list and access files, environment variables, and process information. Additionally it was possible to set environment variables for the current process, create and update files in folders writable by the web process, and execute arbitrary programs accessible by the web process. All other operations available to the `os` package in Python were also available, even if not explicitly enumerated in this CVE.

In Apache Hadoop 2.2.0 to 2.10.1, 3.0.0-alpha1 to 3.1.4, 3.2.0 to 3.2.2, and 3.3.0 to 3.3.1, a user who can escalate to yarn user can possibly run arbitrary commands as root user. Users should upgrade to Apache Hadoop 2.10.2, 3.2.3, 3.3.2 or higher.

** UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache Software Foundation Apache UIMA DUCC. When using the "Distributed UIMA Cluster Computing" (DUCC) module of Apache UIMA, an authenticated user that has the permissions to modify core entities can cause command execution as the system user that runs the web process. As the "Distributed UIMA Cluster Computing" module for UIMA is retired, we do not plan to release a fix for this issue. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Web endpoint authentication check is broken in Apache Hadoop 3.0.0-alpha4, 3.0.0-beta1, and 3.0.0. Authenticated users may impersonate any user even if no proxy user is configured.

In Apache DolphinScheduler before 1.3.6 versions, authorized users can use SQL injection in the data source center. (Only applicable to MySQL data source with internal login account password)

Apache Druid allows users to read data from other database systems using JDBC. This functionality is to allow trusted users with the proper permissions to set up lookups or submit ingestion tasks. The MySQL JDBC driver supports certain properties, which, if left unmitigated, can allow an attacker to execute arbitrary code from a hacker-controlled malicious MySQL server within Druid server processes. This issue was addressed in Apache Druid 0.20.2

Apache Druid includes the ability to execute user-provided JavaScript code embedded in various types of requests. This functionality is intended for use in high-trust environments, and is disabled by default. However, in Druid 0.20.0 and earlier, it is possible for an authenticated user to send a specially-crafted request that forces Druid to run user-provided JavaScript code for that request, regardless of server configuration. This can be leveraged to execute code on the target machine with the privileges of the Druid server process.

Improper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ, Apache ActiveMQ Broker, Apache ActiveMQ All. An authenticated attacker can use the admin web console page to construct a malicious broker name that bypasses name validation to include an xbean binding that can be later used by a VM transport to load a remote Spring XML application. The attacker can then use the DestinationView mbean to send a message to trigger a VM transport creation that will reference this malicious broker name which can lead to loading the malicious Spring XML context file. Because Spring's ResourceXmlApplicationContext instantiates all singleton beans before the BrokerService validates the configuration, arbitrary code execution occurs on the broker's JVM through bean factory methods such as Runtime.exec(). This issue affects Apache ActiveMQ: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ Broker: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ All: before 5.19.6, from 6.0.0 before 6.2.5. Users are recommended to upgrade to version 6.2.5 or 5.19.6, which fixes the issue.

The optional extension component TinkerpopClientService is missing the Restricted annotation with the Execute Code Required Permission in Apache NiFi 2.0.0-M1 through 2.8.0. The TinkerpopClientService supports configuration of ByteCode Submission for the Script Submission Type, enabling Groovy Script execution in the service prior to submitting the query. The missing Restricted annotation allows users without the Execute Code Permission to configure the Service in installations that use fine-grained authorization and have the optional TinkerpopClientService installed. Apache NiFi installations that do not have the nifi-other-graph-services-nar installed are not subject to this vulnerability. Upgrading to Apache NiFi 2.9.0 is the recommended mitigation.

Improper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ. An authenticated attacker may bypass the fix in CVE-2026-34197 by adding a connector using an HTTP Discovery transport via BrokerView.addNetworkConnector or BrokerView.addConnector through Jolokia if the activemq-http module is on the classpath. A malicious HTTP endpoint can return a VM transport through the HTTP URI which will bypass the validation added in CVE-2026-34197. The attacker can then use the VM transport's brokerConfig parameter to load a remote Spring XML application context using ResourceXmlApplicationContext. Because Spring's ResourceXmlApplicationContext instantiates all singleton beans before the BrokerService validates the configuration, arbitrary code execution occurs on the broker's JVM through bean factory methods such as Runtime.exec(). This issue affects Apache ActiveMQ Broker: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ All: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ: before 5.19.6, from 6.0.0 before 6.2.5. Users are recommended to upgrade to version 5.19.6 or 6.2.5, which fixes the issue.

In Apache Hadoop 3.2.0 to 3.2.1, 3.0.0-alpha1 to 3.1.3, and 2.0.0-alpha to 2.10.0, WebHDFS client might send SPNEGO authorization header to remote URL without proper verification.

Improper Control of Dynamically-Managed Code Resources, Unrestricted Upload of File with Dangerous Type, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Solr.This issue affects Apache Solr: from 6.0.0 through 8.11.2, from 9.0.0 before 9.4.1. In the affected versions, Solr ConfigSets accepted Java jar and class files to be uploaded through the ConfigSets API. When backing up Solr Collections, these configSet files would be saved to disk when using the LocalFileSystemRepository (the default for backups). If the backup was saved to a directory that Solr uses in its ClassPath/ClassLoaders, then the jar and class files would be available to use with any ConfigSet, trusted or untrusted. When Solr is run in a secure way (Authorization enabled), as is strongly suggested, this vulnerability is limited to extending the Backup permissions with the ability to add libraries. Users are recommended to upgrade to version 8.11.3 or 9.4.1, which fix the issue. In these versions, the following protections have been added: * Users are no longer able to upload files to a configSet that could be executed via a Java ClassLoader. * The Backup API restricts saving backups to directories that are used in the ClassLoader.

Apache Calcite Avatica JDBC driver creates HTTP client instances based on class names provided via `httpclient_impl` connection property; however, the driver does not verify if the class implements the expected interface before instantiating it, which can lead to code execution loaded via arbitrary classes and in rare cases remote code execution. To exploit the vulnerability: 1) the attacker needs to have privileges to control JDBC connection parameters; 2) and there should be a vulnerable class (constructor with URL parameter and ability to execute code) in the classpath. From Apache Calcite Avatica 1.22.0 onwards, it will be verified that the class implements the expected interface before invoking its constructor.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed javascript to be executed on the server.This issue affects Apache DolphinScheduler: until 3.1.9. Users are recommended to upgrade to version 3.1.9, which fixes the issue.