azure-mgmt-cognitiveservices

v14.1.0 safe
4.0
Medium Risk

Microsoft Azure Cognitiveservices Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk in terms of network, shell, and credential abuse. However, the use of eval() suggests potential obfuscation or code injection risks, and the metadata indicates incomplete author information. Overall, the package appears safe but requires further scrutiny.

  • Use of eval() indicating potential obfuscation or code injection
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is normal for a library that does not require real-time interaction with Azure Cognitive Services during installation.
  • Shell: No shell execution patterns detected, which is expected as the package should not execute system commands on installation.
  • Obfuscation: Use of eval() for decoding can indicate obfuscation or code injection risks.
  • Credentials: No suspicious patterns detected for credential harvesting.
  • Metadata: The author information is incomplete and the maintainer may be new or inactive, raising some concerns.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

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

Some documentation present

  • Detailed PyPI description (31096 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
  • 70 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)

  • _unicode(data) return eval(data_type)(data) # nosec # pylint: disable=eval-used @
  • _unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @
  • __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-cognitiveservices 
Your task is to develop a Python-based mini-application that leverages the 'azure-mgmt-cognitiveservices' package to manage cognitive services resources within a Microsoft Azure subscription. This application will serve as a user-friendly interface for managing cognitive services such as Computer Vision, Text Analytics, and Speech Services.

### Application Overview:
- **Name:** Cognitive Services Manager
- **Purpose:** To provide a simple yet powerful tool for creating, updating, listing, and deleting cognitive service accounts on Azure.
- **Target Audience:** Developers and DevOps engineers who need to manage their cognitive services resources efficiently.

### Key Features:
1. **Resource Creation:** Allow users to create new cognitive service accounts with specified details like location, SKU, and resource group.
2. **Resource Listing:** Provide a feature to list all cognitive services accounts under a given subscription.
3. **Resource Updating:** Enable users to update existing cognitive service accounts, including changing SKUs and tags.
4. **Resource Deletion:** Implement functionality to delete cognitive service accounts safely.
5. **Detailed Information Retrieval:** Fetch detailed information about a specific cognitive service account, including its status, location, and pricing tier.
6. **User Authentication:** Ensure secure access by integrating Azure Active Directory (AAD) authentication.

### How to Utilize 'azure-mgmt-cognitiveservices':
- Use the `CognitiveServicesManagementClient` class from the `azure.mgmt.cognitiveservices` module to interact with Azure Cognitive Services API endpoints.
- For each of the above features, utilize corresponding methods provided by the client library to perform operations such as creating (`create_or_update`), listing (`list_by_resource_group`), updating (`update`), and deleting (`delete`) cognitive service accounts.
- Remember to handle exceptions and errors gracefully, providing meaningful feedback to the user.

### Additional Considerations:
- Design your application with a modular structure, ensuring each feature is implemented as a separate function or class method for better maintainability.
- Include comprehensive documentation and examples to guide users through setting up and using your application effectively.
- Test your application thoroughly to ensure it works as expected across different scenarios.

Your goal is to create a robust, user-friendly tool that simplifies the management of Azure Cognitive Services resources. Happy coding!

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!