azure-mgmt-storagesync

v1.0.1 safe
3.0
Low Risk

Microsoft Azure Storagesync Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators with no detected network or shell risks, minimal obfuscation, and no credential risks. The metadata risk is slightly elevated due to sparse author information.

  • No network or shell execution risks detected
  • Minimal obfuscation techniques used
  • Sparse author details
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no unexpected system command executions.
  • Obfuscation: The observed pattern is a common technique for extending module search paths and does not inherently indicate malicious intent.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The author's details are sparse, indicating potential lack of transparency.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (7862 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
  • 216 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-storagesync 
Develop a cloud-based file synchronization utility using the 'azure-mgmt-storagesync' Python package. This utility will allow users to synchronize their local files with Azure Storage Sync services, ensuring that their data remains up-to-date across multiple devices and locations. Here’s a detailed breakdown of the project requirements and steps to implement it:

1. **Project Overview**: Create a Python application that integrates with Azure Storage Sync service to facilitate seamless file synchronization between on-premises servers and Azure Storage.
2. **User Authentication**: Implement Azure Active Directory (AAD) authentication to securely connect to the Azure Storage Sync service. Use OAuth 2.0 for authentication purposes.
3. **Resource Management**: Utilize the 'azure-mgmt-storagesync' package to manage storage sync services within Azure. This includes creating, updating, and deleting sync groups and shares.
4. **File Synchronization**: Enable real-time monitoring of file changes on the local server and automatically synchronize these changes with Azure Storage Sync. Ensure that any modifications, additions, or deletions are reflected both locally and in the cloud.
5. **Error Handling and Logging**: Implement robust error handling mechanisms to manage exceptions and ensure smooth operation. Additionally, maintain detailed logs for auditing and troubleshooting purposes.
6. **Command Line Interface (CLI)**: Develop a simple yet powerful CLI tool that allows users to interact with the synchronization utility directly from the command line. Users should be able to initiate synchronization, view status updates, and manage resources easily.
7. **Documentation**: Provide comprehensive documentation detailing how to install, configure, and use the utility. Include examples and best practices for integrating the application into existing workflows.
8. **Testing**: Conduct thorough testing to validate the functionality of your application. Focus on edge cases such as network failures, concurrent modifications, and resource limitations.

**Suggested Features**:
- Support for multiple sync groups and shares.
- Ability to pause/resume synchronization based on user preferences.
- Detailed reporting on synchronization activities, including timestamps and status codes.
- Integration with popular logging frameworks for enhanced logging capabilities.
- Customizable alerting system to notify users of critical events or errors during synchronization.

💬 Discussion Feed

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