PYSEC-2020-14
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/apache-airflow/PYSEC-2020-14.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2020-14
- Aliases
- Published
- 2020-07-17T00:15:00Z
- Modified
- 2023-12-06T01:00:02Z
- Summary
- [none]
- Details
-
An issue was found in Apache Airflow versions 1.10.10 and below. A remote code/command injection vulnerability was discovered in one of the example DAGs shipped with Airflow which would allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use). If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable.
- References
Affected packages
PyPI / apache-airflow
Package
- Name
- apache-airflow
- View open source insights on deps.dev
- Purl
- pkg:pypi/apache-airflow
Affected ranges
- Type
- ECOSYSTEM
- Events
-
Introduced0 Unknown introduced version / All previous versions are affectedFixed1.10.11rc1
Affected versions
1.*
1.8.1
1.8.2rc1
1.8.2
1.9.0
1.10.0
1.10.1b1
1.10.1rc2
1.10.1
1.10.2b2
1.10.2rc1
1.10.2rc2
1.10.2rc3
1.10.2
1.10.3b1
1.10.3b2
1.10.3rc1
1.10.3rc2
1.10.3
1.10.4b2
1.10.4rc1
1.10.4rc2
1.10.4rc3
1.10.4rc4
1.10.4rc5
1.10.4
1.10.5rc1
1.10.5
1.10.6rc1
1.10.6rc2
1.10.6
1.10.7rc1
1.10.7rc2
1.10.7rc3
1.10.7
1.10.8rc1
1.10.8
1.10.9rc1
1.10.9
1.10.10rc1
1.10.10rc2
1.10.10rc3
1.10.10rc4
1.10.10rc5
1.10.10