azure-mgmt-resource-policy

v1.0.0b3 safe
3.0
Low Risk

Microsoft Azure Policy Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories except metadata, where incomplete author information and limited maintainer history raise minor concerns. Overall, it appears legitimate.

  • No network calls or shell executions detected
  • Low obfuscation and credential risks
  • Incomplete author information and limited maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is expected for a standard library that does not require real-time interaction with Azure services during installation.
  • Shell: No shell execution patterns detected, which aligns with the expected behavior of a typical Python package.
  • Obfuscation: The observed patterns are likely related to base64 decoding for deserialization purposes and do not indicate malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting or secret theft were detected.
  • Metadata: The author information is incomplete and the maintainer has limited package history, which raises some concerns but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

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

Some documentation present

  • Detailed PyPI description (9261 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

  • 93 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 10.0

Found 5 obfuscation pattern(s)

  • return attr return bytes(base64.b64decode(attr)) def _deserialize_bytes_base64(attr): if isinsta
  • ce("_", "/") return bytes(base64.b64decode(encoded)) def _deserialize_duration(attr): if isinstan
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =
  • ) # type: ignore __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-resource-policy 
Your task is to develop a Python-based mini-application that leverages the 'azure-mgmt-resource-policy' package to manage Azure policy definitions and assignments efficiently. This application will serve as a powerful tool for Azure administrators who need to enforce consistent policies across their cloud resources. Below are the detailed steps and features you should include in your application:

1. **User Authentication**: Implement Azure Active Directory (AAD) authentication using Azure CLI or Azure SDK for Python to authenticate users and gain access to their Azure subscription.
2. **Policy Definition Management**: Allow users to create, update, and delete policy definitions. These definitions should specify rules and parameters for compliance checks.
3. **Policy Assignment Management**: Enable users to assign these policy definitions to specific scopes such as subscriptions, resource groups, or individual resources. Ensure that users can also view existing assignments and remove them if necessary.
4. **Compliance Reporting**: Provide a feature that generates reports on the compliance status of resources within a specified scope based on applied policies.
5. **Customization Options**: Offer options for users to customize policy parameters when assigning policies to different scopes.
6. **Logging and Monitoring**: Integrate logging to record all actions performed through the application, including who made the changes and when.
7. **User Interface**: Develop a simple and intuitive command-line interface (CLI) for the application, making it user-friendly and accessible without requiring extensive technical knowledge.
8. **Documentation**: Include comprehensive documentation that explains how to install and use the application, along with examples and best practices.

The 'azure-mgmt-resource-policy' package is central to this project, providing the necessary APIs to interact with Azure Policy service. Utilize its capabilities to handle CRUD operations for policy definitions and assignments, retrieve policy metadata, and perform compliance evaluations. Your goal is to create a robust, user-friendly tool that simplifies the management of Azure policies.

💬 Discussion Feed

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