azure-mgmt-confidentialledger

v1.0.1 suspicious
4.0
Medium Risk

Microsoft Azure Confidentialledger Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears generally safe, but the sparse metadata and potentially new/inactive author account raise concerns about its legitimacy.

  • Sparse author information
  • Potentially new or inactive author account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: The observed patterns are likely related to module path manipulation and not indicative of malicious activity.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The author's information is sparse and the account may be new or inactive, raising some suspicion but not enough to conclude malice.

📦 Package Quality Overall: Medium (6.6/10)

✦ 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 (4042 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

  • 62 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-confidentialledger 
Create a Python-based mini-application that manages a confidential ledger on Azure using the 'azure-mgmt-confidentialledger' library. This application will serve as a simple but powerful tool for developers and businesses looking to securely manage their transactions without revealing sensitive details to unauthorized parties. Here’s a step-by-step guide on how to build this application:

1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with pip for managing packages. Install the necessary libraries including 'azure-mgmt-confidentialledger', 'azure-identity', and any other dependencies required for authentication and management operations.

2. **Authentication**: Implement user authentication to securely interact with Azure services. Use 'azure-identity' to authenticate with Azure Active Directory (AAD). This will allow your application to request access tokens needed for API calls to Azure services.

3. **Resource Management**: Utilize 'azure-mgmt-confidentialledger' to create, read, update, and delete confidential ledgers within your Azure subscription. Provide functionalities such as listing all ledgers under a specific resource group, creating new ledgers with specified configurations, and deleting existing ones when no longer needed.

4. **Transaction Management**: Integrate features to manage transactions on the confidential ledgers. Allow users to add new entries to the ledger, query past transactions based on certain criteria (e.g., date range, transaction type), and retrieve detailed information about specific transactions.

5. **Security Features**: Given the nature of confidential ledgers, ensure your application includes robust security measures. Implement encryption for data at rest and in transit, and consider adding role-based access control (RBAC) to restrict who can perform certain actions within the application.

6. **User Interface**: While not mandatory, enhancing the application with a simple command-line interface (CLI) or even a basic web frontend could greatly improve usability. For the CLI, utilize Python's built-in modules like argparse; for a web UI, consider frameworks such as Flask or Django.

7. **Documentation & Testing**: Finally, write comprehensive documentation detailing how to install and use the application. Include examples and best practices. Additionally, implement unit tests to ensure the reliability and correctness of your code.

By following these steps, you'll develop a versatile tool that leverages the power of Azure Confidential Ledger to provide secure, private, and transparent transaction management.

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