azure-mgmt-resource-deployments

v1.0.0b2 safe
3.0
Low Risk

Microsoft Azure Deployments Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with low risks across multiple categories. The incomplete metadata and potential use of obfuscation techniques slightly elevate the concern, but there is no strong evidence of malicious intent.

  • Incomplete author metadata
  • Potential use of obfuscation
Per-check LLM notes
  • Network: No network calls detected, which is not typical for cloud management packages but could be due to lazy loading or conditional execution.
  • Shell: No shell executions detected, indicating the package does not execute system commands directly.
  • Obfuscation: The observed patterns appear to be related to base64 decoding, which is commonly used for data serialization and not necessarily indicative of malicious activity.
  • Credentials: No clear evidence of credential harvesting or secret theft was detected.
  • Metadata: The author's information is incomplete and the account seems new or inactive, which could indicate potential risk.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

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

Some documentation present

  • Detailed PyPI description (3093 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

  • 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 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-deployments 
Develop a cloud resource management tool using the 'azure-mgmt-resource-deployments' Python package. This tool will enable users to manage their Azure resources more efficiently by automating deployment processes. Here’s a step-by-step guide on how to create this tool:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with the 'azure-mgmt-resource-deployments' package. Also, set up Azure CLI and authenticate it to use your Azure subscription.

2. **Authentication**: Implement a function to authenticate the user with their Azure credentials. This could be done through interactive login or using service principal authentication if you're working in a non-interactive environment.

3. **Resource Group Creation**: Create a feature that allows users to create new resource groups within their Azure subscription. Users should be able to specify the name of the resource group and the location where it will reside.

4. **Template Deployment**: Allow users to deploy ARM (Azure Resource Manager) templates. Users should be able to upload their template files (.json), specify parameters, and initiate the deployment process. The tool should also provide feedback on the status of the deployment.

5. **Deployment Status Check**: Implement functionality to check the status of deployments. Users should be able to enter a deployment name and receive information about its current state (e.g., Succeeded, Failed, Canceled).

6. **Resource Group Deletion**: Add a feature to delete existing resource groups. Users should be prompted to confirm before deletion as this action cannot be undone.

7. **Logging and Reporting**: Integrate logging to track actions performed through the tool. Additionally, generate reports summarizing resource usage, deployment success rates, etc.

8. **User Interface**: While the initial version can be command-line based, consider developing a simple GUI interface for easier interaction.

Throughout the development, utilize the 'azure-mgmt-resource-deployments' package to interact with Azure's APIs. This package provides methods for managing deployments and resource groups which are crucial for implementing the above features. Remember to handle exceptions and errors gracefully, providing meaningful messages to the user when something goes wrong.

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