azure-mgmt-redis

v14.5.0 safe
3.0
Low Risk

Microsoft Azure Redis Cache Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package is considered safe as it shows low risks across most categories, with only a moderate concern regarding obfuscation due to the use of eval(). However, the presence of a well-known and reputable source like Microsoft mitigates broader concerns.

  • No network or shell execution risks detected
  • Moderate obfuscation risk due to eval()
  • From a trusted source
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages that don't require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The use of eval() for decoding suggests potential code injection risks.
  • Credentials: No suspicious patterns detected for credential harvesting.
  • Metadata: The author has a new or inactive account with only one package, but there are no other suspicious indicators.

📦 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 (16525 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
  • 224 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 # pylint: disable=eval-used @
  • _unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @
  • __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-redis 
Develop a Python-based command-line tool that manages Azure Redis Cache instances. This tool will allow users to create, delete, update, and retrieve information about their Azure Redis Cache instances. Here’s a detailed breakdown of the project requirements:

1. **Setup**: Ensure your development environment includes Python 3.8+ and install necessary packages including `azure-mgmt-redis`, `azure-common`, `azure-identity`, and any other required dependencies.
2. **Authentication**: Implement Azure Active Directory (AAD) authentication using `azure-identity` to securely interact with Azure services.
3. **CRUD Operations**:
   - **Create**: Develop functionality to create new Redis Cache instances with options for different SKU types (Basic, Standard, Premium).
   - **Read**: Allow users to view details of existing Redis Cache instances such as name, location, SKU type, and provisioning state.
   - **Update**: Provide the ability to update Redis Cache instance properties like SKU type and enable/disable features such as access keys and geo-replication.
   - **Delete**: Implement deletion of specified Redis Cache instances.
4. **Feature Enhancements**:
   - Add support for scaling Redis Cache instances by changing SKU types without data loss.
   - Include an option to configure Redis Cache instances with high availability settings.
5. **User Interface**: Design a user-friendly CLI interface where users can easily input commands and receive feedback on their actions.
6. **Documentation**: Write comprehensive documentation explaining how to use the tool, including setup instructions, authentication processes, and examples of CRUD operations.

This project aims to provide a robust, efficient way for developers and system administrators to manage their Azure Redis Cache resources directly from the command line, leveraging the capabilities of the `azure-mgmt-redis` package.

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