Apache: >> Airflow >> 0.3.1 Security Vulnerabilities
Apache Airflow's scheduler-side deadline-reference decoder (`SerializedCustomReference.deserialize_reference`) imported and dispatched arbitrary class paths drawn from DAG-author-controlled serialized state without an allowlist or plugin-registry gate. A DAG author whose code reaches the scheduler — the default on single-host deployments where the DAG bundle is importable from the scheduler process — could embed a custom `DeadlineReference` whose serialized form named an attacker-controlled module path, causing the scheduler to `import_string(...)` and instantiate that class with a live SQLAlchemy session attached. Affects deployments where DAG-author code is less trusted than the scheduler process. Users are advised to upgrade to `apache-airflow` 3.2.2 or later.
CVSS Score
7.3
EPSS Score
0.007
Published
2026-06-01
A bug in Apache Airflow's Variable response masker caused nested-key redaction (triggered by secret-suffixed key names like `password`, `token`, `secret`, `api_key`) to be bypassed when the JSON value's nesting depth exceeded the shared secrets masker's recursion limit: the masker returned the original nested item before checking the sensitive key name. An authenticated UI/API user with Variable read permission could harvest plaintext secret values stored under sensitive keys nested deep enough to exceed the masker's depth cap. Affects deployments that store sensitive values inside deeply-nested JSON Variables. This is a residual gap in the fix for CVE-2026-32690 (which covered shallower nesting via `max_depth=1`); the depth-limit boundary itself was not raised, so the same key-name bypass pattern reappears beyond the recursion cap. Users who already upgraded for CVE-2026-32690 should additionally upgrade to `apache-airflow` 3.2.2 or later to cover the deep-nesting path.
CVSS Score
6.5
EPSS Score
0.003
Published
2026-06-01
A Dag author could either (a) create a symlink under their task's log directory pointing to an arbitrary file readable by the API server process (read-path attack — e.g. `/etc/passwd` or `airflow.cfg`) or (b) supply a `task_id` containing `..` sequences accepted by the Task SDK's `KEY_REGEX` (write-path attack), and in both cases the FileTaskHandler resolves the log path outside the configured `base_log_folder`, leaking or overwriting arbitrary files. Only affects deployments where the worker log folder is shared with the API server. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. As a defense-in-depth mitigation, deploy the worker and API server with separate log volumes so that worker-controlled paths cannot reach the API server's filesystem.
CVSS Score
6.5
EPSS Score
0.007
Published
2026-06-01
A bug in the GET `/api/v2/connections/{connection_id}` REST API endpoint in Apache Airflow allowed an authenticated UI/API user with Connection-read permission to retrieve secrets stored in a Connection's `extra` JSON blob under field names not present in the redaction allowlist (`DEFAULT_SENSITIVE_FIELDS`) — for example, official Slack-provider credential field names were returned in plaintext. Affects deployments that store credentials in Connection `extra` blobs and grant Connection-read access to multiple users. Users are advised to upgrade to `apache-airflow` 3.2.2 or later. As a defense-in-depth mitigation, deployment operators can store sensitive credential values in a secret-backend rather than inlined into the Connection's `extra` field.
CVSS Score
6.5
EPSS Score
0.004
Published
2026-06-01
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.
CVSS Score
4.3
EPSS Score
0.004
Published
2026-04-24
The asset dependency graph did not restrict nodes by the viewer's DAG read permissions: a user with read access to at least one DAG could browse the asset graph for any other asset in the deployment and learn the existence and names of DAGs and assets outside their authorized scope.
Users are recommended to upgrade to version 3.2.1, which fixes this issue.
CVSS Score
4.3
EPSS Score
0.004
Published
2026-04-24
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.
CVSS Score
8.8
EPSS Score
0.008
Published
2026-04-18
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.
CVSS Score
7.5
EPSS Score
0.004
Published
2026-04-18
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.
CVSS Score
7.2
EPSS Score
0.008
Published
2026-04-18
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 3.1.8
CVSS Score
6.5
EPSS Score
0.006
Published
2026-04-15