azure-cosmos

v4.16.1 safe
2.0
Low Risk

Microsoft Azure Cosmos Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with low scores across all categories except obfuscation, which is still within normal limits for legitimate use cases. There is no evidence to suggest a supply-chain attack.

  • Low network and shell risks
  • No credential harvesting detected
  • Only minor obfuscation noted
Per-check LLM notes
  • Network: No network calls detected, which is unusual for a cloud service SDK but not necessarily indicative of malicious activity.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: Base64 decoding is commonly used for data serialization and not inherently malicious.
  • Credentials: No patterns indicative of credential harvesting were found.
  • Metadata: The author has only one package on PyPI which may indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Medium (6.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (123050 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Separate author ("Microsoft Corporation") and maintainer ("Microsoft") listed
  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 232 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)

  • continuation_json_str = base64.b64decode(change_feed_state_context["continuationFeedRange"]).decode(
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # The MIT
✓ 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-cosmos 
Create a simple task management application using Python that leverages the 'azure-cosmos' library for data storage and retrieval. This application will allow users to add, delete, update, and view tasks stored in an Azure Cosmos DB container. Here’s a detailed breakdown of the requirements and steps to achieve this:

1. **Setup**: Begin by setting up your development environment with Python installed. Use pip to install the 'azure-cosmos' package.
2. **Database Setup**: Configure an Azure Cosmos DB account and create a database named 'TaskDB'. Within this database, create a container named 'Tasks' with appropriate partition key.
3. **Application Design**: Design a user-friendly command-line interface where users can interact with their tasks. The main menu should include options such as adding a new task, listing all tasks, updating a task, deleting a task, and exiting the application.
4. **Adding Tasks**: Implement functionality to add tasks to the 'Tasks' container. Each task should have fields like 'title', 'description', and 'due_date'. Ensure the task ID is automatically generated.
5. **Listing Tasks**: Provide an option to list all tasks in the 'Tasks' container. Display each task's title, description, due date, and status.
6. **Updating Tasks**: Allow users to update any task details by specifying the task ID. They should be able to modify the title, description, or due date.
7. **Deleting Tasks**: Enable users to delete tasks by entering the task ID.
8. **Error Handling**: Incorporate robust error handling to manage issues like incorrect input formats, missing task IDs, and connection errors with the Cosmos DB.
9. **Optional Features**: Consider adding optional features such as marking tasks as completed, filtering tasks based on completion status, and exporting tasks to a CSV file.
10. **Documentation**: Write clear documentation explaining how to run the application, including setup instructions for Azure Cosmos DB.

By completing this project, you will gain hands-on experience with the 'azure-cosmos' library and understand how to integrate it into real-world applications.

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