Apache Airflow has a command injection vulnerability in "example_dag_decorator"
An example dag example_dag_decorator had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production (not default) or the example dag code copied to build your own similar dag. If you used the example_dag_decorator please review it and apply the changes implemented in Airflow 3.0.5 accordingly.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | apache-airflow | >= 3.0.0, < 3.0.5 | 3.0.5 |
References
- CVSS vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U- Weakness (CWE)
CWE-78- Platform
- Python (PyPI)
- Package
apache-airflow- Disclosed
- 30.10.2025
- Updated
- 11.10.2026 13:19
Sources and licenses
OSV / GitHub Advisory Database - GHSA-v3c9-j6h9-66v4 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-1135 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: apache-airflow
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 158
- First → latest
- 08.2018 09.2026
- Without a fix
- 4
- Exploited in attacks
- 2
Severity breakdown
- Critical 16
- High 49
- Medium 86
- Low 7
Disclosures per year
- 2018: 1
- 2019: 8
- 2020: 12
- 2021: 5
- 2022: 16
- 2023: 31
- 2024: 18
- 2025: 6
- 2026: 61
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Apache Airflow has a command injection vulnerability in "example_dag_decorator" this entry
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