azure-mgmt-devtestlabs

v9.0.1 safe
4.0
Medium Risk

Microsoft Azure Devtestlabs Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package azure-mgmt-devtestlabs v9.0.1 is assessed as safe based on low risk scores across all categories except metadata, where some concerns arise due to incomplete author information and potentially inactive account status.

  • Low risk scores for network, shell, and credential risks.
  • Metadata risk score elevated due to incomplete author information.
Per-check LLM notes
  • Network: No network calls detected, which is expected for a package that does not require real-time data exchange.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: The observed pattern is likely a standard technique for extending module search paths and not indicative of malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some concerns.

📦 Package Quality Overall: Medium (5.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (23256 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
  • 445 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-devtestlabs 
Create a Python-based application that leverages the 'azure-mgmt-devtestlabs' library to manage virtual machines within a DevTest Labs environment on Microsoft Azure. This application will serve as a powerful tool for developers and DevOps engineers to automate and streamline the management of their test environments. Here’s a detailed outline of the project scope and key functionalities:

1. **Authentication**: Implement a secure method for authenticating users using Azure Active Directory (AAD). The application should support both interactive login and service principal authentication.
2. **VM Management**: Allow users to perform basic VM operations such as creating, starting, stopping, restarting, and deleting virtual machines within a specified DevTest Lab.
3. **Resource Group Handling**: Enable the creation, listing, and deletion of resource groups associated with the DevTest Lab.
4. **Custom Image Management**: Provide capabilities to create, list, and delete custom images that can be used to deploy new VMs.
5. **Artifact Management**: Integrate functionality to apply artifacts (pre-configured software packages) to VMs during deployment.
6. **Sandbox Management**: Offer tools to create and manage sandboxes, which are isolated environments where developers can work without affecting production systems.
7. **Logging and Monitoring**: Implement logging mechanisms to record all actions performed through the application. Additionally, provide basic monitoring features to track the status of VMs and sandboxes.
8. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Ensure that the CLI is user-friendly and provides clear feedback on the status of operations.
9. **Documentation and Help**: Include comprehensive documentation and help options within the application to guide users on how to use its various features.

To achieve these goals, you will extensively utilize the 'azure-mgmt-devtestlabs' package to interact with Azure DevTest Labs services. This includes using classes and methods provided by the package to authenticate, manage VMs, handle resource groups, manipulate custom images, apply artifacts, and manage sandboxes. Your application should demonstrate proficiency in handling asynchronous operations and error handling, ensuring robustness and reliability.

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