Apache Software Foundation Airflow Vulnerabilities & Security Advisories
62 advisories tracked · ASF Security (security@apache.org CNA) via NVD · 0 listed in the CISA Known Exploited Vulnerabilities catalog
Every row below is a published Apache Software Foundation advisory that VulniPulse classified as Airflow, with the CVEs, affected and fixed releases and exploitation status the vendor stated. Severity mix: 7 critical, 21 high, 32 medium, 1 low.
Android app · Google Play
Monitor Apache CVEs from your phone.
Choose a whole vendor or a precise platform, then receive matching security advisories by phone notification, email, or both. Coverage follows 32 official vendor sources and 160+ reviewed platform categories.
Source
ASF Security (security@apache.org CNA) via NVD
The Apache Software Foundation is its own CVE Numbering Authority: every Apache project CVE (HTTP Server, Tomcat, ActiveMQ, Struts, Kafka, Airflow, OFBiz, Solr and 300+ more) is published by security@apache.org and announced on the projects' mailing lists. VulniPulse ingests the CNA feed from NVD filtered to security@apache.org — official, machine-readable, with affected/fixed versions embedded in each description. Per-project security pages (httpd.apache.org/security, tomcat.apache.org/security-XX.html) carry the vendor detail.
Latest Apache Airflow advisories
High [CVE-2026-75157] Apache Airflow's asset queued-events DELETE endpoints checked the caller's Dag-axis permission with `READ` instead of `EDIT`
Apache Airflow's asset queued-events DELETE endpoints checked the caller's Dag-axis permission with `READ` instead of `EDIT`. Any authenticated user who could read a Dag could therefore delete that Dag's queued asset events, silently suppressing asset-triggered scheduling for it — a state-changing action gated on a read-only permission. Deployments are affected whenever asset-triggered scheduling is in use and Dag read access is granted more widely than Dag edit access, which is the normal RBAC arrangement; no special configuration is required. Upgrade to apache-airflow 3.3.2 or later.
High [CVE-2026-75156 +1] Apache Airflow FAB provider: the Authentik OAuth path in the FAB auth manager does not validate the issuer or audience claims of the id_token it accepts
Apache Airflow FAB provider: the Authentik OAuth path in the FAB auth manager does not validate the issuer or audience claims of the id_token it accepts. An attacker holding a token that the same Authentik identity provider minted for a different client application can present it to Airflow and be authenticated as the user it names, because the audience claim is never checked. Affects deployments using the FAB auth manager with Authentik OAuth where the same Authentik instance also serves other applications; the attacker needs a valid token for any of those other applications, not for Airflow. CVE-2026-75156 corrected the same missing validation on the Azure AD path in this file; the Authentik path was left unchanged and is fixed here. Deployments that applied the CVE-2026-75156 fix and use Authentik must also upgrade for this one. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which fixes the issue.
High [CVE-2026-82310] Apache Airflow FAB provider: deactivating a user account does not stop tokens issued to that account before deactivation
Apache Airflow FAB provider: deactivating a user account does not stop tokens issued to that account before deactivation. Password authentication correctly rejects the disabled account, but the Core API continues to accept an existing, unexpired token naming it, and lets that token mint a replacement — so the account keeps its role-scoped access indefinitely after an administrator has disabled it. The user replays their own legitimate credential; no signature forgery or privilege escalation is involved, and the access stays within the roles the account already held. Affects deployments using Airflow 3 with the FAB auth manager and Core API token authentication, where an administrator deactivates an account whose row remains in the database and whose previously issued token has not expired. The trigger is administrative deactivation as a containment action, which silently fails to contain. Users of apache-airflow-providers-fab are recommended to upgrade to version 3.9.0 or later, which rejects tokens naming a deactivated account.
High [CVE-2026-86792] Apache Airflow Apache Kafka provider versions 1.15.0 before 2.0.0 resolve dotted-path strings found in a Kafka connection's `extra` field into Python callables via `import_string`, with no allowlist, and hand them to the confluent-kafka client which invokes them
Apache Airflow Apache Kafka provider versions 1.15.0 before 2.0.0 resolve dotted-path strings found in a Kafka connection's `extra` field into Python callables via `import_string`, with no allowlist, and hand them to the confluent-kafka client which invokes them. Deployments that have enabled the Kafka event producer — `dag_run_events_enabled` or `task_instance_events_enabled`, both disabled by default — build that client inside the scheduler process, so a user whose only privilege is editing Airflow connections gains arbitrary code execution in the control plane; the Airflow security model limits connection-configuration users to code execution on workers, not the scheduler. Deployments using Google Managed Kafka are not affected, because that code path overwrites any user-supplied `oauth_cb`; plain brokers and Amazon MSK are exposed. Users are recommended to upgrade to apache-airflow-providers-apache-kafka 2.0.0 or later, which adds an allowlist configuration option for connection-string callbacks.
High [CVE-2026-33264 +1] Apache Airflow: Unguarded import_string of airflow_exc_ser / base_exc_ser exception nodes in BaseSerialization.deserialize enables DAG-author RCE on Scheduler / API Server
Apache Airflow's serialization layer reconstructed exception nodes by calling `import_string()` on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. An operator's `executor_config` reaches that branch, so a Dag author could place a value there that causes an arbitrary callable to be imported and invoked -- for example `subprocess.check_output`, or `builtins.eval` on the `builtins`-prefixed variant. The code runs in the **Scheduler**, which reconstructs serialized Dags in its normal loop with no request involved, and in the **API server**, on any authenticated read of the Dag such as `GET /api/v2/dags/{dag_id}/details`. Both are components the Airflow security model states must never execute Dag-author code, and both hold the metadata database credentials and the JWT signing secret. No non-default configuration is required. This is a **different sink from CVE-2026-33264**, which covered only the trigger branch of the same deserializer: deployments that upgraded in response to that advisory are still affected through the exception branch and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later, which restricts the imported class to a subclass of `BaseException`.
High [CVE-2026-58076 +1] Apache Airflow: DAG-author remote code execution on the Scheduler via awaiting_input next_kwargs deserialization
Apache Airflow 3.3.0 moved human-in-the-loop tasks from the triggerer to a new `awaiting_input` task state swept by the scheduler. That sweep deserializes the task instance's `next_kwargs` without an allow-list, so a Dag author — who controls that value through the task execution API — can cause an arbitrary module import and object instantiation inside the scheduler process, or terminate the scheduler job. No non-default configuration is required: the sweep runs unconditionally every 15 seconds, and the default `allowed_deserialization_classes` setting does not cover this code path. Versions before 3.3.0 are not affected, because human-in-the-loop tasks deferred onto the triggerer instead. This is a different code path from CVE-2026-58076, which covers the same unguarded exception-node deserialization reached elsewhere — deployments that applied that fix must upgrade for this issue as well. Users are advised to upgrade to apache-airflow 3.3.1 or later.
High [CVE-2026-58076 +2] Apache Airflow: DAG-author remote code execution on the Scheduler via a Serde `Callback` deserialization gadget
Apache Airflow's Task SDK rebuilt a `Callback` object from serialized data by re-running its constructor, which imports the module named by the stored callback path. Because `SyncCallback` is itself an Airflow class it passes the default `allowed_deserialization_classes` allow-list, so tightening that setting does not help. A Dag author — who controls a task instance's `next_kwargs` through the task execution API — can therefore cause an arbitrary module to be imported inside the scheduler process, when the scheduler's `awaiting_input` timeout sweep deserializes that value. No non-default configuration is required; the sweep runs unconditionally. Versions before 3.3.0 are not affected: the class existed, but the scheduler sweep that reaches it did not. This is a separate code path from CVE-2026-58076 and CVE-2026-67260, which cover different gadgets reaching deserialization — applying either of those fixes does not address this one. Users are advised to upgrade to apache-airflow 3.3.1 or later.
High [CVE-2026-68968] Apache Airflow: Authorization bypass in the Backfill API through conflicting interpretations of the backfill id
Apache Airflow's Backfill API authorized a request against a Dag id supplied by the caller whenever the `backfill_id` path segment failed to parse. The authorization dependency parsed it with `int()` while the route handler parsed it as pydantic's `NonNegativeInt`, which accepts values `int()` rejects (`1.0` coerces to `1`); FastAPI resolves dependencies before endpoint validation, so the two acted on different Dags. An authenticated user holding edit permission on any single Dag could therefore read, pause and cancel backfills belonging to any other Dag, including moving another Dag's queued runs to `failed`. No non-default configuration is required and backfill ids are sequential, so finding a target is trivial. Users are advised to upgrade to apache-airflow 3.3.1 or later, which parses the backfill id with the same type the routes declare.
High [CVE-2026-59245] Apache Airflow FAB provider: FAB auth manager: a DAG named "DAGs" hijacks the global all-DAGs permission (access_control privilege escalation via resource_name collision)
In the Apache Airflow FAB auth manager, a DAG whose `dag_id` is `DAGs` collided with the global all-DAGs permission resource name produced by `resource_name()`, so a user granted per-DAG `access_control` on that one DAG was silently granted the global all-DAGs permission (privilege escalation). The escalation triggers when a DAG named `DAGs` exists and a lower-privileged user is given per-DAG access to it, granting that user read/edit access to every DAG. Users are advised to upgrade to `apache-airflow-providers-fab` 3.7.2 or later, which disambiguates the resource-name collision. Affected product named by the advisory: Apache Airflow FAB provider.
High [CVE-2026-58065] Apache Airflow Git provider: Git provider hook defaults to StrictHostKeyChecking=no, disabling SSH host-key verification
The Apache Airflow Git provider runs its git-over-SSH operations with `StrictHostKeyChecking=no` by default, disabling SSH host-key verification. An attacker who can intercept the network path between an Airflow worker and the Git server can impersonate the server (man-in-the-middle), capturing the SSH deploy key or injecting malicious repository content. Deployments that use the Git DAG bundle or Git provider to clone over SSH with a deploy key are affected. The fix changes the default to verify host keys; upgrade to apache-airflow-providers-git `0.4.1` or later and configure a `known_hosts` file.
High [CVE-2026-49297] Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS…
Apache Airflow's Google provider operators `GCSToSFTPOperator` and `GCSTimeSpanFileTransformOperator` joined GCS object names returned by the bucket listing API directly to a destination filesystem path without normalisation or containment check. A user with write access to the source GCS bucket (typically a different trust principal than the DAG author — partner uploads, ingest-only service accounts, public-data buckets) could create an object whose name contains `..` segments and cause the DAG run to write the downloaded blob outside the configured destination (the SFTP `destination_path` for `GCSToSFTPOperator`; the worker-local temp directory for `GCSTimeSpanFileTransformOperator`), enabling overwrite of arbitrary files on the SFTP server or the worker host. Affects deployments that ingest from buckets writable by less-trusted principals. Users are advised to upgrade to `apache-airflow-providers-google` 22.2.1 or later.
High [CVE-2026-32228] UI / API User with asset materialize permission could trigger dags they had no access to.
UI / API User with asset materialize permission could trigger dags they had no access to. Users are advised to migrate to Airflow version 3.2.0 that fixes the issue.
High [CVE-2026-30912] Apache Airflow: In case of SQL errors, exception/stack trace of errors was exposed in API even if "api/expose_stack_traces" was set to false
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.
High [CVE-2026-30898] example of BashOperator in Airflow documentation suggested a way of passing dag_run.conf in the way
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.
High [CVE-2026-25917] Apache Airflow: Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload
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.
High [CVE-2026-31987] JWT Tokens used by tasks were exposed in logs.
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.
High [CVE-2025-54550] Apache Airflow: RCE by race condition in example_xcom dag
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. Affected product named by the advisory: Apache Airflow.
High [CVE-2026-33858] Apache Airflow: Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload
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 resolves this issue.
High [CVE-2025-66236] Apache Airflow: Secrets from Airflow config file logged in plain text in DAG run logs UI
Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4]. [3] JWT Token authentication: Users are recommended to upgrade to version 3.2.0, which fixes this issue.
High [CVE-2026-30911] Apache Airflow versions 3.1.0 through 3.1.7 missing authorization vulnerability in the Execution API's Human-in-the-Loop (HITL)…
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.