CVE-2026-67587: 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 alloweddeserializationclasses allow-list, so tightening that setting does not help. A Dag author — who controls a task instance's nextkwargs through the task execution API — can therefore cause an arbitrary module to be imported inside the scheduler process, when the scheduler's awaitinginput 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.
Affected Software
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
apache-airflowto a version that resolves this vulnerability.Fixed in 3.3.1
Event History
Frequently Asked Questions
What is the severity of CVE-2026-67587?
CVE-2026-67587 has a risk score of 80, indicating a high severity level.
How do I fix CVE-2026-67587?
To fix CVE-2026-67587, update Apache Airflow to the latest version that addresses this vulnerability.
What type of vulnerability is CVE-2026-67587?
CVE-2026-67587 is a remote code execution vulnerability caused by improper handling of deserialization in Apache Airflow.
Which versions of Apache Airflow are affected by CVE-2026-67587?
CVE-2026-67587 affects versions of Apache Airflow that utilize the vulnerable Task SDK, particularly prior to the patch.
What is the impact of exploiting CVE-2026-67587?
Exploiting CVE-2026-67587 could allow an attacker to execute arbitrary code on the Scheduler, leading to potential system compromise.