> 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/ai-and-machine-learning/appsec-azure-239.md).

# Azure Synapse workspace administrator login password exposed misconfiguration detected in code

## Rule Details

|                        |                                            |
| ---------------------- | ------------------------------------------ |
| Cortex AppSec Rule ID  | APPSEC\_AZURE\_239                         |
| Category - Subcategory | Public Exposure - Encryption And Protocols |
| Provider               | AZURE                                      |
| Severity               | MEDIUM                                     |
| Framework              | ARM, Bicep, Terraform, Terraform Plan      |

## Impact

This rule detects whether the administrator login password for an Azure Synapse workspace is exposed, checking for any instances where the password might be publicly accessible or improperly stored. Keeping administrator credentials secure is essential for maintaining the overall security and integrity of the Azure environment. Exposing such sensitive information can lead to unauthorized access, data breaches, and potential misuse of resources.

## How to Fix

*Resource:* Microsoft.Synapse/workspaces

* *Arguments:* sqlAdministratorLoginPassword

## This example shows the ARM template configuration for an Azure Synapse workspace with the `sqlAdministratorLogin` and `sqlAdministratorLoginPassword` properties removed to prevent hardcoding sensitive information. \[source,go]

{ ... "resources": \[ { "type": "Microsoft.Synapse/workspaces", ... "properties": {

* ```
     "sqlAdministratorLogin": "sqladminuser",
  ```
* ```
     "sqlAdministratorLoginPassword": "H@Sh1CoR3!",
  ```

***


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://cortex-docs.paloaltonetworks.com/appsec-rules/iac-security/ai-and-machine-learning/appsec-azure-239.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
