azure-mgmt-redhatopenshift

v3.0.0 suspicious
4.0
Medium Risk

Microsoft Azure Redhatopenshift Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal signs of malicious intent but raises concerns due to its incomplete maintainer metadata and unusual lack of network calls for what would typically be expected from an Azure management client.

  • Incomplete maintainer metadata
  • Unusual absence of network calls
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity unless the package's intended functionality requires it.
  • Shell: No shell execution patterns detected, which aligns with the expected behavior for a typical library package.
  • Obfuscation: The observed pattern is likely a standard method for extending module search paths and not indicative of malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 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 (8851 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
  • 58 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-redhatopenshift 
Create a Python-based command-line tool that manages Red Hat OpenShift clusters on Microsoft Azure using the 'azure-mgmt-redhatopenshift' package. This tool should allow users to perform several key operations related to their OpenShift clusters within their Azure subscription. Here’s a detailed breakdown of what your tool should accomplish:

1. **Cluster Creation**: Provide functionality to create new Red Hat OpenShift clusters within specified Azure regions.
2. **Cluster Listing**: List all existing OpenShift clusters under a user's Azure subscription, including details such as cluster name, region, and status.
3. **Cluster Deletion**: Implement a feature to delete specified OpenShift clusters.
4. **Cluster Status Check**: Allow users to check the current status of any OpenShift cluster (e.g., provisioning, running).
5. **Cluster Update**: Enable updating certain properties of an existing OpenShift cluster, like node pool scaling.
6. **Node Pool Management**: Include options to manage node pools within an OpenShift cluster, such as adding, removing, or resizing node pools.
7. **Integration with Azure Authentication**: Ensure the tool securely authenticates with Azure using Azure CLI or Service Principal credentials.
8. **Error Handling and Logging**: Incorporate robust error handling and logging mechanisms to ensure smooth operation and ease debugging.
9. **Configuration File Support**: Support loading configuration from a YAML file, allowing users to define cluster specifications and other parameters.

To achieve these functionalities, you will heavily rely on the 'azure-mgmt-redhatopenshift' package, which provides comprehensive APIs for managing Red Hat OpenShift clusters on Azure. Your task is to design and implement this tool, ensuring it is user-friendly, efficient, and adheres to best practices in Python development.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!