azure-radar

v1.0.0 safe
3.0
Low Risk

CLI tool for Azure services inventory and diagramming

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on the analysis, with low risks across all categories except shell execution, which is likely legitimate for interacting with Azure CLI.

  • Low network, obfuscation, and credential risks.
  • Moderate shell risk due to expected interaction with Azure CLI commands.
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Shell execution patterns are likely intended to interact with Azure CLI commands, possibly for authentication or resource management.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (3.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_cli.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2607 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • tion_id: result = subprocess.run( ['az', 'account', 'show', '--query', 'id',
  • ll resources result = subprocess.run( ['az', 'resource', 'list', '--query', '[*].[nam
  • ble try: result = subprocess.run(['az', '--version'], capture_output=True, text=True)
  • thentication try: subprocess.run(['az', 'account', 'show'], capture_output=True, text=True, c
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Mor Michaeli" 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-radar 
Create a fully-functional mini-application called 'Azure Inventory Visualizer' that leverages the 'azure-radar' package to manage and visualize Azure services within a user's account. This application should provide users with a comprehensive view of their Azure resources, including but not limited to Virtual Machines, Storage Accounts, Network Interfaces, and more. The application should have the following core functionalities:

1. **Resource Discovery**: Automatically discover all Azure resources under a specified subscription or across multiple subscriptions.
2. **Diagram Generation**: Generate visual diagrams of the discovered resources, showcasing their interconnections and relationships.
3. **Inventory Management**: Allow users to manage and filter their Azure resource inventory based on specific criteria such as tags, regions, or service types.
4. **Customization Options**: Provide customization options for the generated diagrams, such as color schemes, layout styles, and export formats (PNG, SVG).
5. **Security Insights**: Offer insights into security configurations and compliance status of the discovered resources.
6. **Integration with Other Tools**: Enable integration with other tools or platforms for further analysis or management purposes.

To achieve these functionalities, you will utilize the 'azure-radar' package's capabilities for inventory management and diagram generation. The application should start by prompting the user to authenticate using Azure credentials. Once authenticated, it should allow the user to select the scope of resources to be inventoried (single subscription or multiple). After collecting the necessary data, the application should then generate a visual diagram based on the selected resources, highlighting key relationships and dependencies. Users should also have the ability to customize the appearance of the diagram according to their preferences. Additionally, the application should provide summary statistics and security insights for each resource type, helping users maintain a secure and compliant environment.

Your task is to design and implement this application using Python and the 'azure-radar' package, ensuring it is user-friendly, efficient, and capable of handling large-scale Azure environments.

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