azure-mgmt-resource-databoundaries

v1.0.0b2 safe
4.0
Medium Risk

Microsoft Azure Databoundaries Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low to moderate risks across all categories with no direct evidence of malicious activities. The use of base64 encoding raises some concern but does not conclusively indicate malicious intent.

  • No network or shell execution risks detected
  • Incomplete author metadata
  • Base64 encoding present
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without additional context.
  • Shell: No shell execution patterns detected, which aligns with the expected behavior for a legitimate package.
  • Obfuscation: The code uses base64 decoding which could be used for obfuscation but may also serve legitimate purposes such as data serialization.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The author information is incomplete, indicating potential lack of transparency.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

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

Some documentation present

  • Detailed PyPI description (2315 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

  • 92 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-databoundaries 
Create a Python-based mini-application that manages and visualizes data boundaries within a Microsoft Azure environment using the 'azure-mgmt-resource-databoundaries' library. Your application should allow users to perform the following actions:

1. Authenticate and connect to their Azure account.
2. List all available data boundaries in their subscription.
3. Create new data boundaries with customizable parameters such as name, location, and tags.
4. Update existing data boundaries by modifying their properties.
5. Delete specific data boundaries based on user input.
6. Visualize data boundary information in a graphical format (e.g., pie chart showing the distribution of data across different boundaries).
7. Export data boundary details into a CSV file for further analysis.

The application should provide a simple command-line interface for users to interact with these functionalities. Additionally, include error handling and validation checks to ensure robustness and usability. This project aims to demonstrate the capabilities of managing data boundaries effectively through a user-friendly tool, leveraging the power of Azure's cloud services and Python programming.

💬 Discussion Feed

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