Apache Airflow: Arbitrary import in custom deadline-reference deserialization
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| Apache Software Foundation | Apache Airflow | unaffected |
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| Apache Software Foundation | Apache Airflow | unaffected |
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No data.
| Vendor | Product | Versions | ||||||||
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| Apache | Airflow |
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| Source | ID | Title |
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Github GHSA |
GHSA-2r5m-76wx-56gx | Apache Airflow Vulnerable to Deserialization of Untrusted Data |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.676% probability within 30 days)
| Type | Values Removed | Values Added |
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| CPEs | cpe:2.3:a:apache:airflow:*:*:*:*:*:*:*:* |
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| Metrics |
ssvc
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| Type | Values Removed | Values Added |
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| Metrics |
cvssV3_1
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| First Time appeared |
Apache
Apache airflow |
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| Vendors & Products |
Apache
Apache airflow |
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| References |
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| Description | 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. | |
| Title | Apache Airflow: Arbitrary import in custom deadline-reference deserialization | |
| Weaknesses | CWE-502 | |
| References |
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