Apache Kylin 2.3.0, and releases up to 2.6.5 and 3.0.1 has some restful apis which will concatenate os command with the user input string, a user is likely to be able to execute any os command without any protection or validation.

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

Kylin has some restful apis which will concatenate SQLs with the user input string, a user is likely to be able to run malicious database queries.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache VCL. Users can modify form data submitted when requesting a new Block Allocation such that a SELECT SQL statement is modified. The data returned by the SELECT statement is not viewable by the attacker. This issue affects all versions of Apache VCL from 2.2 through 2.5.1. Users are recommended to upgrade to version 2.5.2, which fixes the issue.

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

Apache Airflow Sqoop Provider, versions before 4.0.0, is affected by a vulnerability that allows an attacker pass parameters with the connections, which makes it possible to implement RCE attacks via ‘sqoop import --connect’, obtain airflow server permissions, etc. The attacker needs to be logged in and have authorization (permissions) to create/edit connections. It is recommended to upgrade to a version that is not affected. This issue was reported independently by happyhacking-k, And Xie Jianming and LiuHui of Caiji Sec Team also reported it.

A remote code injection vulnerability exists in the Ambari Metrics and AMS Alerts feature, allowing authenticated users to inject and execute arbitrary code. The vulnerability occurs when processing alert definitions, where malicious input can be injected into the alert script execution path. An attacker with authenticated access can exploit this vulnerability to execute arbitrary commands on the server. The issue has been fixed in the latest versions of Ambari.

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.

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

Apache OpenOffice supports the storage of passwords for web connections in the user's configuration database. The stored passwords are encrypted with a single master key provided by the user. A flaw in OpenOffice existed where master key was poorly encoded resulting in weakening its entropy from 128 to 43 bits making the stored passwords vulnerable to a brute force attack if an attacker has access to the users stored config. This issue affects: Apache OpenOffice versions prior to 4.1.13. Reference: CVE-2022-26307 - LibreOffice

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.

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.

An attacker that is able to modify Velocity templates may execute arbitrary Java code or run arbitrary system commands with the same privileges as the account running the Servlet container. This applies to applications that allow untrusted users to upload/modify velocity templates running Apache Velocity Engine versions up to 2.2.

The optional ShellUserGroupProvider in Apache NiFi 1.10.0 to 1.16.2 and Apache NiFi Registry 0.6.0 to 1.16.2 does not neutralize arguments for group resolution commands, allowing injection of operating system commands on Linux and macOS platforms. The ShellUserGroupProvider is not included in the default configuration. Command injection requires ShellUserGroupProvider to be one of the enabled User Group Providers in the Authorizers configuration. Command injection also requires an authenticated user with elevated privileges. Apache NiFi requires an authenticated user with authorization to modify access policies in order to execute the command. Apache NiFi Registry requires an authenticated user with authorization to read user groups in order to execute the command. The resolution removes command formatting based on user-provided arguments.

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This affects Apache Spark versions 3.0.3 and earlier, versions 3.1.1 to 3.1.2, and versions 3.2.0 to 3.2.1.

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache HertzBeat (incubating). This vulnerability can only be exploited by authorized attackers. This issue affects Apache HertzBeat (incubating): before 1.6.1. Users are recommended to upgrade to version 1.6.1, which fixes the issue.

An SQL injection vulnerability in Traffic Ops in Apache Traffic Control <= 8.0.1, >= 8.0.0 allows a privileged user with role "admin", "federation", "operations", "portal", or "steering" to execute arbitrary SQL against the database by sending a specially-crafted PUT request. Users are recommended to upgrade to version Apache Traffic Control 8.0.2 if you run an affected version of Traffic Ops.

Example DAG: example_inlet_event_extra.py shipped with Apache Airflow version 2.10.0 has a vulnerability that allows an authenticated attacker with only DAG trigger permission to execute arbitrary commands. If you used that example as the base of your DAGs - please review if you have not copied the dangerous example; see https://github.com/apache/airflow/pull/41873  for more information. We recommend against exposing the example DAGs in your deployment. If you must expose the example DAGs, upgrade Airflow to version 2.10.1 or later.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can execute any shell script server by alert script. This issue affects Apache DolphinScheduler: before 3.2.2. Users are recommended to upgrade to version 3.3.1, which fixes the issue.

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.

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.

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.

Apache Airflow 2.4.0, and versions before 2.9.3, has a vulnerability that allows authenticated DAG authors to craft a doc_md parameter in a way that could execute arbitrary code in the scheduler context, which should be forbidden according to the Airflow Security model. Users should upgrade to version 2.9.3 or later which has removed the vulnerability.

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.

Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow JDBC Provider. Airflow JDBC Provider Connection’s [Connection URL] parameters had no restrictions, which made it possible to implement RCE attacks via different type JDBC drivers, obtain airflow server permission. This issue affects Apache Airflow JDBC Provider: before 4.0.0.

An issue was found in Apache Airflow versions 1.10.10 and below. A remote code/command injection vulnerability was discovered in one of the example DAGs shipped with Airflow which would allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use). If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable.

SpringEL injection in the metrics source in Apache Ambari version 2.7.0 to 2.7.6 allows a malicious authenticated user to execute arbitrary code remotely. Users are recommended to upgrade to 2.7.7.

Apache Airflow versions before 2.10.1 have a vulnerability that allows DAG authors to add local settings to the DAG folder and get it executed by the scheduler, where the scheduler is not supposed to execute code submitted by the DAG author. Users are advised to upgrade to version 2.10.1 or later, which has fixed the vulnerability.

A user with access to the DB could craft a database entry that would result in executing code on Triggerer - which gives anyone who have access to DB the same permissions as Dag Author. Since direct DB access is not usual and recommended for Airflow, the likelihood of it making any damage is low. You should upgrade to version 6.0.0 of the provider to avoid even that risk.

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.

Any client who can access to Apache Kyuubi Server via Kyuubi frontend protocols can bypass server-side config kyuubi.session.local.dir.allow.list and use local files which are not listed in the config. This issue affects Apache Kyuubi: from 1.6.0 through 1.10.2. Users are recommended to upgrade to version 1.10.3 or upper, which fixes the issue.

WARNING: Users of 6.x should upgrade to 6.2.4 or later as the fix was missed in previous 6.x releases. See the  following for more details: https://activemq.apache.org/security-advisories.data/CVE-2026-40046-announcement.txt https://www.cve.org/CVERecord?id=CVE-2026-40046 Original Report: Apache ActiveMQ does not properly validate the remaining length field which may lead to an overflow during the decoding of malformed packets. When this integer overflow occurs, ActiveMQ may incorrectly compute the total Remaining Length and subsequently misinterpret the payload as multiple MQTT control packets which makes the broker susceptible to unexpected behavior when interacting with non-compliant clients. This behavior violates the MQTT v3.1.1 specification, which restricts Remaining Length to a maximum of 4 bytes. The scenario occurs on established connections after the authentication process. Brokers that are not enabling mqtt transport connectors are not impacted. This issue affects Apache ActiveMQ: before 5.19.2, 6.0.0 to 6.1.8, and 6.2.0 Users are recommended to upgrade to version 5.19.2, 6.1.9, or 6.2.1, which fixes the issue.

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.

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.

Apache Flink CDC version 3.4.0 was vulnerable to a SQL injection via maliciously crafted identifiers eg. crafted database name or crafted table name. Even through only the logged-in database user can trigger the attack, we recommend users update Flink CDC version to 3.5.0 which address this issue.

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.

In Apache Airflow, prior to version 2.2.4, some example DAGs did not properly sanitize user-provided params, making them susceptible to OS Command Injection from the web UI.

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.

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.

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.

Improper Access Control vulnerability in Apache Commons. A special BeanIntrospector class was added in version 1.9.2. This can be used to stop attackers from using the declared class property of Java enum objects to get access to the classloader. However this protection was not enabled by default. PropertyUtilsBean (and consequently BeanUtilsBean) now disallows declared class level property access by default. Releases 1.11.0 and 2.0.0-M2 address a potential security issue when accessing enum properties in an uncontrolled way. If an application using Commons BeanUtils passes property paths from an external source directly to the getProperty() method of PropertyUtilsBean, an attacker can access the enum’s class loader via the “declaredClass” property available on all Java “enum” objects. Accessing the enum’s “declaredClass” allows remote attackers to access the ClassLoader and execute arbitrary code. The same issue exists with PropertyUtilsBean.getNestedProperty(). Starting in versions 1.11.0 and 2.0.0-M2 a special BeanIntrospector suppresses the “declaredClass” property. Note that this new BeanIntrospector is enabled by default, but you can disable it to regain the old behavior; see section 2.5 of the user's guide and the unit tests. This issue affects Apache Commons BeanUtils 1.x before 1.11.0, and 2.x before 2.0.0-M2.Users of the artifact commons-beanutils:commons-beanutils 1.x are recommended to upgrade to version 1.11.0, which fixes the issue. Users of the artifact org.apache.commons:commons-beanutils2 2.x are recommended to upgrade to version 2.0.0-M2, which fixes the issue.

A privilege escalation vulnerability exists in Apache CloudStack versions 4.10.0.0 through 4.20.0.0 where a malicious Domain Admin user in the ROOT domain can get the API key and secret key of user-accounts of Admin role type in the same domain. This operation is not appropriately restricted and allows the attacker to assume control over higher-privileged user-accounts. A malicious Domain Admin attacker can impersonate an Admin user-account and gain access to sensitive APIs and resources that could result in the compromise of resource integrity and confidentiality, data loss, denial of service, and availability of infrastructure managed by CloudStack. Users are recommended to upgrade to Apache CloudStack 4.19.3.0 or 4.20.1.0, which fixes the issue with the following: * Strict validation on Role Type hierarchy: the caller's role must be equal to or higher than the target user's role.  * API privilege comparison: the caller must possess all privileges of the user they are operating on.  * Two new domain-level settings (restricted to the default admin):   - role.types.allowed.for.operations.on.accounts.of.same.role.type: Defines which role types are allowed to act on users of the same role type. Default: "Admin, DomainAdmin, ResourceAdmin".   - allow.operations.on.users.in.same.account: Allows/disallows user operations within the same account. Default: true.

Incorrect Authorization vulnerability in Apache Superset allows ownership takeover of dashboards, charts or datasets by authenticated users with read permissions. This issue affects Apache Superset: through 4.1.1. Users are recommended to upgrade to version 4.1.2 or above, which fixes the issue.

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.

Privilege Defined With Unsafe Actions vulnerability in Apache Cassandra. An user with MODIFY permission ON ALL KEYSPACES can escalate privileges to superuser within a targeted Cassandra cluster via unsafe actions to a system resource. Operators granting data MODIFY permission on all keyspaces on affected versions should review data access rules for potential breaches. This issue affects Apache Cassandra 3.0.30, 3.11.17, 4.0.16, 4.1.7, 5.0.2, but this advisory is only for 4.0.16 because the fix to CVE-2025-23015 was incorrectly applied to 4.0.16, so that version is still affected. Users in the 4.0 series are recommended to upgrade to version 4.0.17 which fixes the issue. Users from 3.0, 3.11, 4.1 and 5.0 series should follow recommendation from CVE-2025-23015.

XML Injection RCE by parse http sitemap xml response vulnerability in Apache HertzBeat. The attacker needs to have an authenticated account with access, and add monitor parsed by xml, returned special content can trigger the XML parsing vulnerability. This issue affects Apache HertzBeat (incubating): before 1.7.0. Users are recommended to upgrade to version 1.7.0, which fixes the issue.

Apache Guacamole 1.2.0 and 1.3.0 do not properly validate responses received from a SAML identity provider. If SAML support is enabled, this may allow a malicious user to assume the identity of another Guacamole user.

Apache PLC4X - PLC4C (Only the C language implementation was effected) was vulnerable to an unsigned integer underflow flaw inside the tcp transport. Users should update to 0.9.1, which addresses this issue. However, in order to exploit this vulnerability, a user would have to actively connect to a mallicious device which could send a response with invalid content. Currently we consider the probability of this being exploited as quite minimal, however this could change in the future, especially with the industrial networks growing more and more together.

Apache Superset up to and including 1.3.0 when configured with ENABLE_TEMPLATE_PROCESSING on (disabled by default) allowed SQL injection when a malicious authenticated user sends an http request with a custom URL.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed javascript to be executed on the server. If you are using the switch task plugin, please upgrade to version 3.2.2.