Apache

The authenticated /ui/dags endpoint did not enforce per-DAG access control on embedded Human-in-the-Loop (HITL) and TaskInstance records: a logged-in Airflow user with read access to at least one DAG could retrieve HITL prompts (including their request parameters) and full TaskInstance details for DAGs outside their authorized scope. Because HITL prompts and TaskInstance fields routinely carry operator parameters and free-form context attached to a task, the leak widens visibility of DAG-run data beyond the intended per-DAG RBAC boundary for every authenticated user. Users are recommended to upgrade to version 3.2.1 , which fixes this issue.Show less

Incorrect Authorization vulnerability in Apache DolphinScheduler allows authenticated users with system login permissions to use tenants that are not defined on the platform during workflow execution. This issue affects Apache DolphinScheduler versions prior to 3.4.1.  Users are recommended to upgrade to version 3.4.1, which fixes this issue.Show less

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.Show less

Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS) vulnerability in Apache ActiveMQ, Apache ActiveMQ Web. An authenticated attacker can show malicious content when browsing queues in the web console by overriding the content type to be HTML (instead of XML) and by injecting HTML into a JMS selector field. This issue affects Apache ActiveMQ: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ Web: 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.Show less

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.Show less

Deserialization of Untrusted Data vulnerability in Apache DolphinScheduler RPC module. This issue affects Apache DolphinScheduler:  Version >= 3.2.0 and < 3.3.1. Attackers who can access the Master or Worker nodes can compromise the system by creating a StandardRpcRequest, injecting a malicious class type into it, and sending RPC requests to the DolphinScheduler Master/Worker nodes. Users are recommended to upgrade to version [3.3.1], which fixes the issue.Show less

Missing critical step in authentication in Apache HttpClient 5.6 allows an attacker to cause the client to accept SCRAM-SHA-256 authentication without proper mutual authentication verification. Users are recommended to upgrade to version 5.6.1, which fixes this issue.Show less

Information exposure vulnerability has been identified in Apache Kafka. The NetworkClient component will output entire requests and responses information in the DEBUG log level in the logs. By default, the log level is set to INFO level. If the DEBUG level is enabled, the sensitive information will be exposed via the requests and responses output log. The entire lists of impacted requests and responses are: * AlterConfigsRequest * AlterUserScramCredentialsRequest * ExpireDelegationTokenRequest * IncrementalAlterConfigsRequest * RenewDelegationTokenRequest * SaslAuthenticateRequest * createDelegationTokenResponse * describeDelegationTokenResponse * SaslAuthenticateResponse This issue affects Apache Kafka: from any version supported the listed API above through v3.9.1, v4.0.0. We advise the Kafka users to upgrade to v3.9.2, v4.0.1, or later to avoid this vulnerability.Show less

A possible security vulnerability has been identified in Apache Kafka. By default, the broker property `sasl.oauthbearer.jwt.validator.class` is set to `org.apache.kafka.common.security.oauthbearer.DefaultJwtValidator`. It accepts any JWT token without validating its signature, issuer, or audience. An attacker can generate a JWT token from any issuer with the `preferred_username` set to any user, and the broker will accept it. We advise the Kafka users using kafka v4.1.0 or v4.1.1 to set the config `sasl.oauthbearer.jwt.validator.class` to `org.apache.kafka.common.security.oauthbearer.BrokerJwtValidator` explicitly to avoid this vulnerability. Since Kafka v4.1.2 and v4.2.0 and later, the issue is fixed and will correctly validate the JWT token.Show less

Apache Doris MCP Server versions earlier than 0.6.1 are affected by an improper neutralization flaw in query context handling that may allow execution of unintended SQL statements and bypass of intended query validation and access restrictions through the MCP query execution interface. Version 0.6.1 and later are not affected.Show less

The Keycloak authentication manager in `apache-airflow-providers-keycloak` did not generate or validate the OAuth 2.0 `state` parameter on the login / login-callback flow, and did not use PKCE. An attacker with a Keycloak account in the same realm could deliver a crafted callback URL to a victim's browser and cause the victim to be logged into the attacker's Airflow session (login-CSRF / session fixation), where any credentials the victim subsequently stored in Airflow Connections would be harvestable by the attacker. Users are advised to upgrade `apache-airflow-providers-keycloak` to 0.7.0 or later.Show less

Secrets in Variables saved as JSON dictionaries were not properly redacted - in case thee variables were retrieved by the user the secrets stored as nested fields were not masked. If you do not store variables with sensitive values in JSON form, you are not affected. Otherwise please upgrade to Apache Airflow 3.2.0 that has the fix implementedShow less

In case of SQL errors, exception/stack trace of errors was exposed in API even if "api/expose_stack_traces" was set to false. That could lead to exposing additional information to potential attacker. Users are recommended to upgrade to Apache Airflow 3.2.0, which fixes the issue.Show less

An example of BashOperator in Airflow documentation suggested a way of passing dag_run.conf in the way that could cause unsanitized user input to be used to escalate privileges of UI user to allow execute code on worker. Users should review if any of their own DAGs have adopted this incorrect advice.Show less

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 fixes the issue.Show less

JWT Tokens used by tasks were exposed in logs. This could allow UI users to act as Dag Authors. Users are advised to upgrade to Airflow version that contains fix. Users are recommended to upgrade to version 3.2.0, which fixes this issue.Show less

The `access_key` and `connection_string` connection properties were not marked as sensitive names in secrets masker. This means that user with read permission could see the values in Connection UI, as well as when Connection was accidentaly logged to logs, those values could be seen in the logs. Azure Service Bus used those properties to store sensitive values. Possibly other providers could be also affected if they used the same fields to store sensitive data. If you used Azure Service Bus connection with those values set or if you have other connections with those values storing sensitve values, you should upgrade Airflow to 3.1.8Show less

The SkyWalking OAP /debugging/config/dump endpoint may leak sensitive configuration information of MySQL/PostgreSQL. This issue affects Apache SkyWalking: from 9.7.0 through 10.3.0. Users are recommended to upgrade to version 10.4.0, which fixes the issue.Show less

The example example_xcom that was included in airflow documentation implemented unsafe pattern of reading value from xcom in the way that could be exploited to allow UI user who had access to modify XComs to perform arbitrary execution of code on the worker. Since the UI users are already highly trusted, this is a Low severity vulnerability. It does not affect Airflow release - example_dags are not supposed to be enabled in production environment, however users following the example could replicate the bad pattern. Documentation of Airflow 3.2.0 contains version of the example with improved resiliance for that case. Users who followed that pattern are advised to adjust their implementations accordingly.Show less