alexdrydew commented on issue #38745:
URL: https://github.com/apache/airflow/issues/38745#issuecomment-2041073791
My concern was primarily about processing untrusted data from external
sources in DAGs: it seems malicious data can be used to steal secrets in some
cases:
```python
@dag(...)
def pipeline():
data = download_parameters_from_s3()
transformed_data = transform.expand_kwargs(data)
upload_to_s3(transformed_data)
```
in this case data author could include `{{ var.value.get('SOME_SECRET') }}`
template and get access to the variable if the target storage is available for
them. I understand that this case is probably out of scope of the airflow
security model but the way how plain TaskFlow-style tasks communicate using
XCom allows to process untrusted data in this way.
But not to change focus: my main concern is that even if we don't return
processed untrusted data to potentially malicious user back we still need to
sanitize inputs specifically for `expand_kwargs` in order not to fail while
processing data that may contain template-like syntax (e.g. parsed webpage)
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