azure-mgmt-healthcareapis

v2.1.0 suspicious
6.0
Medium Risk

Microsoft Azure Health Care Apis Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows a high risk due to the presence of eval() with unsanitized input, which could be exploited for arbitrary code execution. However, other risks are low.

  • High obfuscation risk due to use of eval()
  • No shell or network risks detected
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages that don't require real-time interactions with external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: The use of eval() with unsanitized input is highly suspicious and poses a significant risk as it can execute arbitrary code.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The author has only one package, which may indicate a new or less active account but does not necessarily imply malicious intent.

📦 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_healthcareapis.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9090 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
  • 224 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 @classmethod def serializ
  • _unicode(attr) return eval(data_type)(attr) # nosec @staticmethod def deseria
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) __path__ = __import__("pkg
  • path__, __name__) __path__ = __import__("pkgutil").extend_path(__path__, __name__) # coding=utf-8 # ---------
✓ 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

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Microsoft Corporation" 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-healthcareapis 
Create a Python-based health data management mini-application using the 'azure-mgmt-healthcareapis' package. This application will serve as a simplified interface for managing FHIR (Fast Healthcare Interoperability Resources) resources on Azure's Healthcare APIs service. Your task is to design and implement an application that allows users to perform CRUD (Create, Read, Update, Delete) operations on patient records stored within an Azure FHIR service instance. Here’s a detailed breakdown of the steps and features your application should include:

1. **Setup**: Begin by setting up a virtual environment and installing the necessary packages including 'azure-mgmt-healthcareapis'. Ensure you have the required Azure credentials and permissions to interact with Azure services.
2. **Authentication**: Implement a secure method for authenticating users against their Azure accounts. This could involve storing and retrieving access tokens securely.
3. **Patient Data Management**: Design functions that allow users to create new patient records, read existing ones, update patient information, and delete records if necessary. Each operation should leverage the 'azure-mgmt-healthcareapis' package to interact directly with the Azure FHIR service.
4. **Data Validation**: Include mechanisms to validate input data before sending it to the Azure FHIR service. This ensures data integrity and helps prevent errors.
5. **Error Handling**: Develop robust error handling procedures to manage issues such as network failures, invalid requests, or authentication problems gracefully.
6. **User Interface**: Although not mandatory, consider adding a simple command-line interface (CLI) or even a basic web interface to make the application more user-friendly.
7. **Documentation**: Provide comprehensive documentation detailing how to install and use the application, along with examples of common tasks and workflows.
8. **Testing**: Write unit tests for each of your main functions to ensure they work as expected under various conditions.
9. **Deployment**: Discuss potential deployment strategies for your application, considering cloud hosting options like Azure App Services or Docker containers.

Your goal is to demonstrate proficiency in using the 'azure-mgmt-healthcareapis' package while also showcasing best practices in software development, such as security, usability, and maintainability.

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