azure-mgmt-recoveryservices

v4.0.1 safe
3.0
Low Risk

Microsoft Azure Recoveryservices Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate based on its description and the low risk scores for network, shell, and credential risks. However, the missing maintainer's author name and potentially inactive account raise slight concerns.

  • Low risk scores for network, shell, and credential threats.
  • Missing maintainer's author name and possibly inactive account.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package is designed to work offline or only communicates during specific user-triggered actions.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing external commands that could pose a risk.
  • Obfuscation: The observed patterns appear to be related to deserialization and path extension, which are common in many legitimate packages for handling encoded data and managing module paths.
  • Credentials: No suspicious patterns indicative of credential harvesting were found.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, which raises some suspicion but not enough to conclusively determine malice.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

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

Some documentation present

  • Detailed PyPI description (15316 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
  • 317 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 8.0

Found 4 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 # 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-recoveryservices 
Create a Python-based disaster recovery management tool that leverages the 'azure-mgmt-recoveryservices' package to manage backup policies and restore points for Azure virtual machines. This tool will serve as a comprehensive solution for monitoring and managing the disaster recovery process of your Azure resources.

Step 1: Initialize the Application
- Set up a Python virtual environment.
- Install necessary packages including 'azure-mgmt-recoveryservices', 'azure-identity', and 'pandas'.

Step 2: Authentication
- Implement authentication using Azure Active Directory (Azure AD) to securely connect to Azure services.

Step 3: Resource Management
- Develop functions to retrieve information about existing Recovery Services Vaults and their associated backup policies.
- Allow users to create new Recovery Services Vaults if they don't already exist.

Step 4: Policy Management
- Enable users to view, update, and delete backup policies associated with specific Recovery Services Vaults.
- Provide a feature to apply backup policies to selected virtual machines.

Step 5: Backup and Restore Operations
- Implement functionality to initiate a backup for specified virtual machines.
- Include a feature to list all available restore points for a given virtual machine.
- Enable users to initiate a restore operation from a chosen restore point.

Step 6: Reporting
- Utilize 'pandas' to generate detailed reports on the current state of backups and restores.
- Reports should include key metrics such as the number of successful backups, last backup time, and any failures.

Suggested Features:
- User-friendly command-line interface for easy interaction.
- Integration with logging services like Azure Monitor Logs for tracking operations.
- Support for scheduling backups through Azure Functions or similar services.

How 'azure-mgmt-recoveryservices' Package is Utilized:
- The package provides classes and methods to interact with Azure's Recovery Services API, enabling the management of vaults, policies, and backup/restore operations programmatically.
- Use 'RecoveryServicesVaultsOperations' for managing Recovery Services Vaults.
- Use 'BackupPoliciesOperations' to handle backup policies.
- Use 'ProtectedItemsOperations' to work with protected items (virtual machines).
- Leverage 'RecoveryPointsOperations' for listing and restoring from recovery points.

💬 Discussion Feed

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