azure-mgmt-managedservices

v6.0.1 safe
3.0
Low Risk

Microsoft Azure Managedservices Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories, with only metadata and obfuscation showing slight concerns. However, these are not indicative of malicious intent.

  • Minimal network and shell risks
  • No evidence of credential harvesting
  • Common but benign obfuscation techniques
Per-check LLM notes
  • Network: No network calls detected, which is normal for a management package that may not require real-time interactions.
  • Shell: No shell execution patterns detected, indicating no unexpected system command executions.
  • Obfuscation: The observed pattern is a common technique used for extending the module search path and is not indicative of malicious activity.
  • Credentials: No suspicious patterns indicating credential harvesting were found.
  • Metadata: The author's information is sparse, suggesting a potentially less established or inactive maintainer.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Detailed PyPI description (5213 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 47 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-managedservices 
Develop a Python-based mini-application that leverages the 'azure-mgmt-managedservices' package to manage Azure Managed Services. This application will serve as a command-line interface (CLI) tool that allows users to create, update, delete, and retrieve details of managed services registrations and definitions. Here’s a detailed breakdown of the project requirements and steps:

1. **Setup**: Begin by setting up your development environment with Python and installing necessary packages including 'azure-mgmt-managedservices', 'azure-identity', and any other dependencies needed for authentication and service management.

2. **Authentication**: Implement a secure method for authenticating users using Azure Active Directory (AAD). Utilize 'azure-identity' for this purpose to fetch tokens and authenticate API calls.

3. **Command Line Interface (CLI)**: Develop a CLI that accepts commands from users to perform operations such as creating, updating, deleting, and retrieving information about managed services registrations and definitions. Ensure that the CLI is user-friendly and provides clear instructions on usage.

4. **Creating Managed Service Registrations**: Allow users to create new managed service registrations through the CLI. This involves specifying parameters like the registration name, resource group, and registration definition ID.

5. **Updating Managed Service Registrations**: Provide functionality to update existing managed service registrations. Users should be able to modify parameters like registration definition ID or tags.

6. **Deleting Managed Service Registrations**: Include a feature to delete managed service registrations based on the provided registration ID or name.

7. **Retrieving Information**: Enable users to query and display information about managed service registrations and definitions. This could include listing all registrations under a specific subscription, displaying details of a single registration, or listing available registration definitions.

8. **Error Handling & Logging**: Implement robust error handling to manage exceptions gracefully and provide meaningful feedback to the user. Additionally, log errors and critical information for debugging purposes.

9. **Documentation**: Write comprehensive documentation for your CLI tool, explaining how to install it, set up authentication, and use its various functionalities. Include examples of common tasks and best practices.

This project aims to showcase the capabilities of 'azure-mgmt-managedservices' while providing a practical utility for managing Azure Managed Services. By following these steps, you'll develop a powerful tool that simplifies interactions with Azure Managed Services APIs.

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