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 Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Airflow Common SQL Provider. When using the partition clause in SQLTableCheckOperator as parameter (which was a recommended pattern), Authenticated UI User could inject arbitrary SQL command when triggering DAG exposing partition_clause to the user. This allowed the DAG Triggering user to escalate privileges to execute those arbitrary commands which they normally would not have. This issue affects Apache Airflow Common SQL Provider: before 1.24.1. Users are recommended to upgrade to version 1.24.1, which fixes the issue.

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.

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

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

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.

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 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.

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.

Improper Privilege Management vulnerability in Apache Fineract.This issue affects Apache Fineract: <1.8.5. Users are recommended to upgrade to version 1.9.0, which fixes the issue.

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

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.

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.

When using an authentication mechanism other than PKI, when the user clicks Log Out in NiFi versions 1.0.0 to 1.9.2, NiFi invalidates the authentication token on the client side but not on the server side. This permits the user's client-side token to be used for up to 12 hours after logging out to make API requests to NiFi.

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.

XStream before version 1.4.14 is vulnerable to Remote Code Execution.The vulnerability may allow a remote attacker to run arbitrary shell commands only by manipulating the processed input stream. Only users who rely on blocklists are affected. Anyone using XStream's Security Framework allowlist is not affected. The linked advisory provides code workarounds for users who cannot upgrade. The issue is fixed in version 1.4.14.

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.

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

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.

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.

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.

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.

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.

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.

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.

Incorrect Authorization vulnerability in Apache Software Foundation Apache Pulsar. This issue affects Apache Pulsar: before 2.10.4, and 2.11.0. When a client connects to the Pulsar Function Worker via the Pulsar Proxy where the Pulsar Proxy uses mTLS authentication to authenticate with the Pulsar Function Worker, the Pulsar Function Worker incorrectly performs authorization by using the Proxy's role for authorization instead of the client's role, which can lead to privilege escalation, especially if the proxy is configured with a superuser role. The recommended mitigation for impacted users is to upgrade the Pulsar Function Worker to a patched version. 2.10 Pulsar Function Worker users should upgrade to at least 2.10.4. 2.11 Pulsar Function Worker users should upgrade to at least 2.11.1. 3.0 Pulsar Function Worker users are unaffected. Any users running the Pulsar Function Worker for 2.9.* and earlier should upgrade to one of the above patched versions.

In Apache Ozone versions prior to 1.2.0, certain admin related SCM commands can be executed by any authenticated users, not just by admins.

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

Reported in SOLR-14515 (private) and fixed in SOLR-14561 (public), released in Solr version 8.6.0. The Replication handler (https://lucene.apache.org/solr/guide/8_6/index-replication.html#http-api-commands-for-the-replicationhandler) allows commands backup, restore and deleteBackup. Each of these take a location parameter, which was not validated, i.e you could read/write to any location the solr user can access.

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.

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.

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.

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.

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.

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 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

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.

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.

Incomplete authorization by Apache ActiveMQ server before versions v6.2.6 and v5.19.7 allows authenticated connections to remove existing destinations with proper permissions. This issue affects Apache ActiveMQ Broker: before 5.19.7, from 6.0.0 before 6.2.6; Apache ActiveMQ All: before 5.19.7, from 6.0.0 before 6.2.6; Apache ActiveMQ: before 5.19.7, from 6.0.0 before 6.2.6. Users are recommended to upgrade to version v6.2.6 or v5.19.7, which fixes the issue.

Improper Authorization vulnerability in Apache OFBiz Webtools. This issue affects Apache OFBiz: before 24.09.06. Users are recommended to upgrade to version 24.09.06, which fixes the issue.

Improper Authorization vulnerability when multiple method constraints define an HTTP method for the same extension in Apache Tomcat. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117, from 8.5.0 through 8.5.100, from 7.0.0 through 7.0.109. Users are recommended to upgrade to version 11.0.22, 10.1.55 or 9.0.118 which fix the issue.

The structure_data endpoint in the Airflow UI returned external dependency graph nodes for linked Dags without checking whether the caller had read permission on those linked Dags. An authenticated UI/API user authorized for one Dag could enumerate linked Dag IDs and dependency metadata for other Dags they were not authorized to read. Affects deployments that rely on per-Dag read scoping to keep Dag dependency topology private across teams. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.

An improper authorization vulnerability has been identified in Apache Kafka. The implementation of the CONSUMER_GROUP_DESCRIBE (69) API validates the DESCRIBE operation on the GROUP resource instead of the READ operation that documented in the official kafka documentation and the KIP-848. This discrepancy can result in misconfigured Access Control Lists (ACLs) and unintended security postures, like granting READ permission to users who should not be able to join/sync groups, or allowing users without READ permission (but with DESCRIBE permission) to access sensitive group metadata. The correct permission for CONSUMER_GROUP_DESCRIBE API is DESCRIBE GROUP so the current implementation is correct. However, the kafka documentation as well as the KIP-848 will be updated to reflect the correct permission. We advise the Kafka users to review existing group ACLs to ensure the principle of least privilege.

Deployments of Apache Solr 5.3.0 through 9.10.0 that rely on Solr's "Rule Based Authorization Plugin" are vulnerable to allowing unauthorized access to certain Solr APIs, due to insufficiently strict input validation in those components.  Only deployments that meet all of the following criteria are impacted by this vulnerability: * Use of Solr's "RuleBasedAuthorizationPlugin" * A RuleBasedAuthorizationPlugin config (see security.json) that specifies multiple "roles" * A RuleBasedAuthorizationPlugin permission list (see security.json) that uses one or more of the following pre-defined permission rules: "config-read", "config-edit", "schema-read", "metrics-read", or "security-read". * A RuleBasedAuthorizationPlugin permission list that doesn't define the "all" pre-defined permission * A networking setup that allows clients to make unfiltered network requests to Solr. (i.e. user-submitted HTTP/HTTPS requests reach Solr as-is, unmodified or restricted by any intervening proxy or gateway) Users can mitigate this vulnerability by ensuring that their RuleBasedAuthorizationPlugin configuration specifies the "all" pre-defined permission and associates the permission with an "admin" or other privileged role.  Users can also upgrade to a Solr version outside of the impacted range, such as the recently released Solr 9.10.1.

Apache Superset contains an improper access control vulnerability in its /explore endpoint. A missing authorization check allows an authenticated user to discover metadata about datasources they do not have permission to access. By iterating through the datasource_id in the URL, an attacker can enumerate and confirm the existence and names of protected datasources, leading to sensitive information disclosure. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue.

The S3 buckets and keys in a secure Apache Ozone Cluster must be inaccessible to anonymous access by default. The current security vulnerability allows access to keys and buckets through a curl command or an unauthenticated HTTP request. This enables unauthorized access to buckets and keys thereby exposing data to anonymous clients or users. This affected Apache Ozone prior to the 1.1.0 release.

In Presto before version 337, authenticated users can bypass authorization checks by directly accessing internal APIs. This impacts Presto server installations with secure internal communication configured. This does not affect installations that have not configured secure internal communication, as these installations are inherently insecure. This only affects Presto server installations. This does NOT affect clients such as the CLI or JDBC driver. This vulnerability has been fixed in version 337. Additionally, this issue can be mitigated by blocking network access to internal APIs on the coordinator and workers.