azure-machinelearning-notebook-files

Notebook cells, outputs, and workspace files can contain credentials and sensitive datasets. No single Azure RBAC action authorizes this service-native path; its own authentication and authorization apply.

azurecritical service: azure:machinelearning emits ContainsSecret

Where it sits

locationAzure ML workspace file/notebook content
location kindnotebook_content
data kindscredential password api_key access_key secret_key oauth_token connection_string source_code_secret sensitive_data pii customer_data
emits edgeContainsSecret
serviceAzure ML (azure:machinelearning)

Collection recipe

access modedata_plane
operationWorkspace file read through Azure ML studio storage
response path$value
encodingbinary
params{"resource_id": "\u003cazure-resource-id\u003e"}

References

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