azure-mgmt-automation

v1.0.1 suspicious
4.0
Medium Risk

Microsoft Azure Automation Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network and shell activities, but the incomplete maintainer information and potential obfuscation methods suggest caution.

  • Incomplete maintainer information
  • Potential obfuscation practices
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; it depends on the package's intended functionality.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute commands on the host system.
  • Obfuscation: The observed pattern is likely a standard method to extend the module search path and not malicious obfuscation.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7983 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
  • 332 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-automation 
Create a Python-based automation tool that leverages the 'azure-mgmt-automation' package to manage Azure Automation Accounts. Your application should allow users to perform the following actions:

1. List all existing Automation Accounts within a specified subscription.
2. Create a new Automation Account with customizable properties such as name, location, and resource group.
3. Delete an existing Automation Account based on user input.
4. Retrieve details of a specific Automation Account including its state, creation time, and linked storage account.
5. Update properties of an existing Automation Account like tags or description.

Additionally, your application should provide a command-line interface (CLI) where users can easily interact with these functionalities through simple commands and arguments. Implement error handling to ensure that users receive informative messages if something goes wrong during execution.

To utilize the 'azure-mgmt-automation' package, first authenticate using Azure CLI or Service Principal credentials. Then, use the package’s methods to interact with Azure Automation resources. Ensure you handle authentication securely and efficiently, possibly by using environment variables for sensitive information.

This project will not only demonstrate the power of the 'azure-mgmt-automation' package but also provide a practical tool for managing Azure Automation resources.

💬 Discussion Feed

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