azure-mgmt-hybridcompute

v9.0.0 safe
4.0
Medium Risk

Microsoft Azure Hybrid Compute Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package is from a reputable source, Microsoft, and shows low risk in most categories. The use of 'eval' with 'nosec' is flagged as potentially risky, but given the context and source, it's likely safe.

  • Low network and shell risks
  • Potential code injection risk due to 'eval' usage
  • No evidence of credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages that do not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The use of 'eval' with 'nosec' indicates potential for code injection and obfuscation, which is risky unless explicitly documented as safe practice.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The author has only one package, suggesting a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

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

Some documentation present

  • Detailed PyPI description (26578 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
  • 131 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 8.0

Found 4 obfuscation pattern(s)

  • _unicode(data) return eval(data_type)(data) # nosec @classmethod def serializ
  • _unicode(attr) return eval(data_type)(attr) # nosec @staticmethod def deseria
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) __path__ = __import__("pkg
  • path__, __name__) __path__ = __import__("pkgutil").extend_path(__path__, __name__) # coding=utf-8 # ---------
✓ 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

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

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

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Microsoft Corporation" 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-hybridcompute 
Create a fully functional mini-application named 'HybridComputeManager' using the Python package 'azure-mgmt-hybridcompute'. This application will serve as a management tool for Azure Hybrid Compute resources, enabling users to perform various operations such as listing, creating, updating, and deleting hybrid compute machines across different subscriptions and resource groups. Here’s a detailed breakdown of what your application should achieve:

1. **User Authentication**: Integrate Azure Active Directory (AAD) authentication to allow users to securely log in and manage their Azure resources.
2. **Resource Discovery**: Implement functionality to list all hybrid compute machines within specified subscriptions and resource groups.
3. **Machine Operations**: Provide options to create, update, and delete hybrid compute machines. Ensure these operations include specifying necessary configurations like machine name, OS type, VM size, etc.
4. **Status Monitoring**: Include features to check the current status of hybrid compute machines, such as whether they are running, stopped, or transitioning.
5. **Advanced Filters**: Allow users to filter hybrid compute machines based on specific criteria like tags, location, or OS type.
6. **Logging & Notifications**: Implement logging for all actions performed through the application and notify users about critical events via email or SMS.
7. **User Interface**: Design a simple yet effective command-line interface (CLI) for ease of use. Consider adding basic help documentation within the CLI for guidance.
8. **Security Enhancements**: Ensure that sensitive information like access keys and passwords are handled securely, possibly using environment variables or secure vaults.

In utilizing the 'azure-mgmt-hybridcompute' package, focus on leveraging its core functionalities to interact with Azure Hybrid Compute resources efficiently. Make sure to handle exceptions gracefully and provide informative error messages when operations fail. Additionally, explore how you can enhance the user experience by integrating additional Azure services or features not directly covered by the package, such as integration with Azure Monitor for better visibility into machine health.

💬 Discussion Feed

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