CVE-2026-111421
Apache Airflow's Task Execution API stored XCom values written by a task without the reserved-key check applied elsewhere, so a Dag author's
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Publicado: 9 de nov. de 2026 · Última mod.: 9 de nov. de 2026 · CWE-502
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Apache Airflow's Task Execution API stored XCom values written by a task without the reserved-key check applied elsewhere, so a Dag author's task could write an XCom that, when a user later viewed it through the API with deserialization enabled, made the API server instantiate classes from the `airflow.*` namespace with arguments the Dag author chose. This is an incomplete fix for CVE-2026-59242: users who applied that fix in apache-airflow 3.3.1 remain affected through this route and should upgrade to apache-airflow 3.4.0 or later.
CVECVSSEPSSKEVRExploitTítuloMod.
CVE-2026-1240799.8 CRÍ—
———rConfig Core 8.0.0 before 8.2.19 and rConfig Pro before 8.4.1 contain a deserialization of untrusted data vulnerability that allows unauthenticated network attackers to execute arbitrary code by pushing a crafted serialized job onto the Redis-backed Laravel Horizon queue, which runs without authentication in affected deployments. Laravel's CallQueuedHandler unserializes the job without class restrictions, allowing attackers to instantiate the existing App\\Jobs\\TaskDownloadRun class and invoke an attacker-controlled Artisan command. Attackers can leverage the bundled laravel/tinker package to execute arbitrary PHP and operating system commands as the queue worker's user, write a persistent web shell into the web-served storage/app/public directory, and read database credentials, stored device credentials, and API tokens. Where Redis is not directly reachable, authenticated attackers can deliver the payload through the application by configuring a device target that points at the rConfig server's loopback address.2hCVE-2026-96285——
———Apache Airflow 3.3.1 shipped a fix for CVE-2026-67260 that checks the scheduler's decoded `next_kwargs` value is a dictionary, but performs that check only after deserializing the whole stored payload. Deserialization reconstructs nested objects of classes permitted by the deserialization allow-list — which by default includes Airflow's own classes — and runs their constructors inside the scheduler process before the check can reject the value. A Dag author, who controls a task's `next_kwargs` through the task execution API, can therefore still trigger constructor execution in the scheduler when the `awaiting_input` timeout sweep processes the task, and in the API server when the task instance is served to a worker using an older Execution API version; no non-default configuration is required. Versions before 3.3.0 are not affected. This is an incomplete fix for CVE-2026-67260: deployments that upgraded to 3.3.1 for that issue must also upgrade to apache-airflow 3.4.0 or later.5hCVE-2026-86829——
———Apache Airflow's scheduler fully deserializes XCom values written by task code while evaluating task dependencies. A Dag author, who controls what a task writes to XCom, therefore controls data that is deserialized inside the scheduler process - a context the Airflow security model reserves for code installed by the Deployment Manager, above the worker-scoped execution capability a Dag author is documented to have. Deployments that treat Dag authors as less trusted than Deployment Managers are affected, and the scheduler must be evaluating a task dependency that reads a task-written XCom value. Users of apache-airflow are recommended to upgrade to version 3.4.0 or later, which restricts dependency evaluation to primitive XCom values.4hCVE-2026-82436——
———Description
`DefaultStateSerializer`, used to persist and restore stateful bolt checkpoints, configured Kryo with class
registration disabled and an instantiation strategy that constructs objects without invoking their
constructors, then deserialized whatever bytes the state store returned. A party able to write to the
topology's keyspace in the state store, for example a co-tenant of a shared Redis instance or anyone with
network access to it, could therefore place a serialized object graph that executes code inside the worker
JVM when the state is restored.
This requires the Redis-backed state provider, which is not the default. Write access to a state-store key
is a data-plane privilege; code execution in the worker JVM is not, so the two are not equivalent.
Mitigation
Upgrade to 3.1.0, where the state serializer requires registered classes.
Note that this is a behaviour change for existing state: checkpoints written by an affected version may fail
to restore, and a migration step may be required. Users who cannot upgrade immediately should restrict
network and credential access to the state store to the cluster itself.
Credit
The ASF -- found using Claude agents to study the security of open-source projects, validated and reported by Apache Storm.4hCVE-2026-82337——
———Apache Airflow rebuilt deadline alert fields through generic deserialization, which imports and instantiates the class named in the serialized Dag, in the scheduler and API server. A Dag author could cause classes within Airflow's deserialization allow list to be constructed in those processes with arguments they control. Deployments whose Dags use deadline alerts are affected.
This is an incomplete fix of CVE-2026-45360, which only hardened the `reference` field; deployments that applied that fix remain affected through the `callback` and `interval` fields.
Users of apache-airflow are recommended to upgrade to 3.4.0 or later.5hCVE-2026-111395——
———Apache Airflow did not reject reserved serialization keys inside a Dag run's `conf`. A user allowed to trigger a Dag that uses a deadline alert with an asynchronous callback could pass a `conf` that, once the deadline was missed, either crashed the scheduler repeatedly or was rebuilt into objects inside the Triggerer. Users are advised to upgrade to apache-airflow 3.4.0 or later.4h