azure-mgmt-purview

v1.0.1 suspicious
4.0
Medium Risk

Microsoft Azure Purview Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell execution, and credential harvesting activities. However, the incomplete maintainer profile and new/inactive account, along with some obfuscation indicators, raise suspicion about potential supply-chain risks.

  • Incomplete maintainer profile
  • New or inactive maintainer account
  • Some obfuscation patterns observed
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a management package like azure-mgmt-purview.
  • Shell: No shell execution patterns detected, which is expected and indicates no immediate risk from shell commands.
  • Obfuscation: The observed patterns are likely related to the package's internal path management and not indicative of malicious obfuscation.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: The maintainer has an incomplete profile and a new/inactive account, which could indicate potential risk.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: conftest.py
  • 5 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7630 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 140 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =
  • ) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: microsoft.com> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with azure-mgmt-purview 
Your task is to develop a Python-based mini-application that leverages the 'azure-mgmt-purview' package to manage and monitor data assets within a Microsoft Azure Purview account. This application will serve as a powerful tool for data governance professionals to streamline their operations and gain deeper insights into their data landscape.

### Application Overview:
- **Name**: DataAssetMonitor
- **Purpose**: To provide a streamlined interface for managing and monitoring data assets within an Azure Purview environment.
- **Features**:
  - List all registered data sources within the Purview account.
  - Retrieve details of specific data sources.
  - Register new data sources.
  - Update existing data source information.
  - Delete data sources.
  - Monitor the health status of data sources.

### How to Use the Application:
1. **Initialization**: Set up the application with your Azure credentials (client ID, client secret, tenant ID, and subscription ID).
2. **Data Source Management**: Use the provided functions to perform CRUD (Create, Read, Update, Delete) operations on data sources.
3. **Monitoring**: Implement a feature to periodically check the health status of each data source and log any issues encountered.
4. **Reporting**: Generate reports summarizing the current state of all data sources, including any recent changes or issues.

### Utilization of 'azure-mgmt-purview':
- **Listing Data Sources**: Use the `purview_client.data_sources.list()` method to retrieve a list of all registered data sources.
- **Retrieving Details**: Use `purview_client.data_sources.get()` to fetch detailed information about a specific data source.
- **Registering New Data Sources**: Implement a function that calls `purview_client.data_sources.create_or_update()` with appropriate parameters.
- **Updating Data Sources**: Modify the relevant data source properties and call `purview_client.data_sources.create_or_update()` again.
- **Deleting Data Sources**: Use `purview_client.data_sources.delete()` to remove a data source from the Purview account.
- **Health Monitoring**: Schedule periodic checks using the `purview_client.data_sources.get()` method to assess the status of each data source.

### Additional Considerations:
- Ensure proper error handling throughout the application.
- Include documentation comments explaining each function and its usage.
- Implement logging to track application activities and errors.
- Design a user-friendly command-line interface (CLI) for interacting with the application.

This project aims to showcase the power and flexibility of the 'azure-mgmt-purview' package while providing a practical solution for data governance tasks.

💬 Discussion Feed

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