> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/appsec-rules/iac-security/public-exposure/appsec-gcp-87.md).

# GCP data fusion instances are not private misconfiguration detected in code

## Rule Details

|                        |                                |
| ---------------------- | ------------------------------ |
| Cortex AppSec Rule ID  | APPSEC\_GCP\_87                |
| Category - Subcategory | Public Exposure - VPC VCN VNet |
| Provider               | GCP                            |
| Severity               | LOW                            |
| Framework              | Terraform                      |

## Impact

GCP Data fusion is a fully managed, cloud-native data integration service that helps users build and manage ETL (extract, transform, and load) pipelines. It is designed to simplify and accelerate the process of building and maintaining data pipelines, allowing users to create data pipelines that can ingest data from a variety of sources, transform and cleanse the data, and then load the data into a destination of their choice. A Data Fusion instance is a logical container that is used to host and run data pipelines. It is created within a Google Cloud project, and users can create multiple instances within a single project. Each instance has its own resources and configuration settings, allowing users to tailor the instance to their specific needs. We recommend you remove the public IPs for your Data Fusion instance.

## How to Fix

## \[source,go]

## resource "google\_data\_fusion\_instance" "pass" { provider = google-beta name = "my-instance" description = "My Data Fusion instance" region = "us-central1" type = "BASIC" enable\_stackdriver\_logging = true enable\_stackdriver\_monitoring = true labels = { example\_key = "example\_value" } private\_instance = true network\_config { network = "default" ip\_allocation = "10.89.48.0/22" } version = "6.3.0" dataproc\_service\_account = data.google\_app\_engine\_default\_service\_account.default.email }


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