CouchDB administrative users before 2.2.0 can configure the database server via HTTP(S). Due to insufficient validation of administrator-supplied configuration settings via the HTTP API, it is possible for a CouchDB administrator user to escalate their privileges to that of the operating system's user under which CouchDB runs, by bypassing the blacklist of configuration settings that are not allowed to be modified via the HTTP API. This privilege escalation effectively allows a CouchDB admin user to gain arbitrary remote code execution, bypassing CVE-2017-12636 and CVE-2018-8007.

In Apache Hadoop 2.7.4 to 2.7.6, the security fix for CVE-2016-6811 is incomplete. A user who can escalate to yarn user can possibly run arbitrary commands as root user.

On versions before 2.1.4, a user could log in and perform a template injection attack resulting in Remote Code Execution on the server, The attacker must successfully log into the system to launch an attack, so this is a moderate-impact vulnerability. Mitigation: all users should upgrade to 2.1.4

In Apache Karaf prior to 4.2.0 release, if the sshd service in Karaf is left on so an administrator can manage the running instance, any user with rights to the Karaf console can pivot and read/write any file on the file system to which the Karaf process user has access. This can be locked down a bit by using chroot to change the root directory to protect files outside of the Karaf install directory; it can be further locked down by defining a security manager policy that limits file system access to those directories beneath the Karaf home that are necessary for the system to run. However, this still allows anyone with ssh access to the Karaf process to read and write a large number of files as the Karaf process user.

The Pulsar Functions Worker includes a capability that permits authenticated users to create functions where the function's implementation is referenced by a URL. The supported URL schemes include "file", "http", and "https". When a function is created using this method, the Functions Worker will retrieve the implementation from the URL provided by the user. However, this feature introduces a vulnerability that can be exploited by an attacker to gain unauthorized access to any file that the Pulsar Functions Worker process has permissions to read. This includes reading the process environment which potentially includes sensitive information, such as secrets. Furthermore, an attacker could leverage this vulnerability to use the Pulsar Functions Worker as a proxy to access the content of remote HTTP and HTTPS endpoint URLs. This could also be used to carry out denial of service attacks. This vulnerability also applies to the Pulsar Broker when it is configured with "functionsWorkerEnabled=true". This issue affects Apache Pulsar versions from 2.4.0 to 2.10.5, from 2.11.0 to 2.11.3, from 3.0.0 to 3.0.2, from 3.1.0 to 3.1.2, and 3.2.0. 2.10 Pulsar Function Worker users should upgrade to at least 2.10.6. 2.11 Pulsar Function Worker users should upgrade to at least 2.11.4. 3.0 Pulsar Function Worker users should upgrade to at least 3.0.3. 3.1 Pulsar Function Worker users should upgrade to at least 3.1.3. 3.2 Pulsar Function Worker users should upgrade to at least 3.2.1. Users operating versions prior to those listed above should upgrade to the aforementioned patched versions or newer versions. The updated versions of Pulsar Functions Worker will, by default, impose restrictions on the creation of functions using URLs. For users who rely on this functionality, the Function Worker configuration provides two configuration keys: "additionalEnabledConnectorUrlPatterns" and "additionalEnabledFunctionsUrlPatterns". These keys allow users to specify a set of URL patterns that are permitted, enabling the creation of functions using URLs that match the defined patterns. This approach ensures that the feature remains available to those who require it, while limiting the potential for unauthorized access and exploitation.

In Apache Linkis <= 1.5.0, Privilege Escalation in Basic management services where the attacking user is a trusted account allows access to Linkis's Token information. Users are advised to upgrade to version 1.6.0, which fixes this 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.

Improper Input Validation vulnerability in Apache DolphinScheduler. An authenticated user can cause arbitrary, unsandboxed javascript to be executed on the server. This issue is a legacy of CVE-2023-49299. We didn't fix it completely in CVE-2023-49299, and we added one more patch to fix it. This issue affects Apache DolphinScheduler: until 3.2.1. Users are recommended to upgrade to version 3.2.1, 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.

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.

File read and write vulnerability in Apache DolphinScheduler ,  authenticated users can illegally access additional resource files. This issue affects Apache DolphinScheduler: from 3.1.0 before 3.2.2. Users are recommended to upgrade to version 3.2.2, which fixes the issue.

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.

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 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.

Hertzbeat is an open source, real-time monitoring system. Hertzbeat uses aviatorscript to evaluate alert expressions. The alert expressions are supposed to be some simple expressions. However, due to improper sanitization for alert expressions in version prior to 1.4.1, a malicious user can use a crafted alert expression to execute any command on hertzbeat server. A malicious user who has access to alert define function can execute any command in hertzbeat instance. This issue is fixed in version 1.4.1.

Malicious code injection in Apache Ambari in prior to 2.7.8. Users are recommended to upgrade to version 2.7.8, which fixes this issue. Impact: A Cluster Operator can manipulate the request by adding a malicious code injection and gain a root over the cluster main host.

Authenticated users with appropriate privileges can create policies having expressions that can exploit code execution vulnerability. This issue affects Apache Ranger: 2.3.0. Users are recommended to update to version 2.4.0.

A where_in JINJA macro allows users to specify a quote, which combined with a carefully crafted statement would allow for SQL injection in Apache Superset.This issue affects Apache Superset: before 2.1.2, from 3.0.0 before 3.0.2. Users are recommended to upgrade to version 3.0.2, which fixes the issue.

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.

Apache Fineract allowed an authenticated user to perform remote code execution due to a path traversal vulnerability in a file upload component of Apache Fineract, allowing an attacker to run remote code. This issue affects Apache Fineract version 1.8.0 and prior versions. We recommend users to upgrade to 1.8.1.

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.

XXE in the XML Format Plugin in Apache Drill version 1.19.0 and greater allows a user to read any file on a remote file system or execute commands via a malicious XML file. Users are recommended to upgrade to version 1.21.2, which fixes this issue.

Blind XXE Vulnerabilities in jackrabbit-spi-commons and jackrabbit-core in Apache Jackrabbit < 2.23.2 due to usage of an unsecured document build to load privileges. Users are recommended to upgrade to versions 2.20.17 (Java 8), 2.22.1 (Java 11) or 2.23.2 (Java 11, beta versions), which fix this issue. Earlier versions (up to 2.20.16) are not supported anymore, thus users should update to the respective supported version.

Improper Privilege Management vulnerability in Apache Software Foundation Apache ShenYu. ShenYu Admin allows low-privilege low-level administrators create users with higher privileges than their own. This issue affects Apache ShenYu: 2.5.0. Upgrade to Apache ShenYu 2.5.1 or apply patch https://github.com/apache/shenyu/pull/3958 https://github.com/apache/shenyu/pull/3958 .

In the fix for CVE-2022-24697, a blacklist is used to filter user input commands. But there is a risk of being bypassed. The user can control the command by controlling the kylin.engine.spark-cmd parameter of conf.

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.

SpringEL injection in the server agent 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.

A vulnerability in Example Dags of Apache Airflow allows an attacker with UI access who can trigger DAGs, to execute arbitrary commands via manually provided run_id parameter. This issue affects Apache Airflow Apache Airflow versions prior to 2.4.0.

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.

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.

Apache Brooklyn uses the SnakeYAML library for parsing YAML inputs. SnakeYAML allows the use of YAML tags to indicate that SnakeYAML should unmarshal data to a Java type. In the default configuration in Brooklyn before 0.10.0, SnakeYAML will allow unmarshalling to any Java type available on the classpath. This could provide an authenticated user with a means to cause the JVM running Brooklyn to load and run Java code without detection by Brooklyn. Such code would have the privileges of the Java process running Brooklyn, including the ability to open files and network connections, and execute system commands. There is known to be a proof-of-concept exploit using this vulnerability.

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.

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 the required initialization vector for encryption was always the same which weakens the security of the encryption making them vulnerable if an attacker has access to the user's configuration data. This issue affects: Apache OpenOffice versions prior to 4.1.13. Reference: CVE-2022-26306 - LibreOffice

Apache ShenYu Admin has insecure permissions, which may allow low-privilege administrators to modify high-privilege administrator's passwords. This issue affects Apache ShenYu 2.4.2 and 2.4.3.

In Apache Hadoop 2.x before 2.7.4, a user who can escalate to yarn user can possibly run arbitrary commands as root user.

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.

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.

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.

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 reset the password of user-accounts of Admin role type. 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 user-account role must be equal to or higher than the target user-account'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.

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.

The Apache Thrift Go client library exposed the potential during code generation for command injection due to using an external formatting tool. Affected Apache Thrift 0.9.3 and older, Fixed in Apache Thrift 0.10.0.

A vulnerability in import module of Apache Atlas allows an authenticated user to write to web server filesystem. This issue affects Apache Atlas versions from 0.8.4 to 2.2.0.

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.

A local code execution issue exists in Apache Struts2 when processing malformed XSLT files, which could let a malicious user upload and execute arbitrary files.

Apache Struts 2.x before 2.3.29 allows remote attackers to execute arbitrary code via a "%{}" sequence in a tag attribute, aka forced double OGNL evaluation. NOTE: this vulnerability exists because of an incomplete fix for CVE-2016-0785.

Improper authorization check and possible privilege escalation on Apache Superset up to but excluding 2.1.2. Using the default examples database connection that allows access to both the examples schema and Apache Superset's metadata database, an attacker using a specially crafted CTE SQL statement could change data on the metadata database. This weakness could result on tampering with the authentication/authorization data.

Execution with Unnecessary Privileges, : Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Software Foundation Apache Airflow.The "Run Task" feature enables authenticated user to bypass some of the restrictions put in place. It allows to execute code in the webserver context as well as allows to bypas limitation of access the user has to certain DAGs. The "Run Task" feature is considered dangerous and it has been removed entirely in Airflow 2.6.0 This issue affects Apache Airflow: before 2.6.0.

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.