async-ioc-framework

v0.1.1 suspicious
6.0
Medium Risk

A lightweight, high-performance async IoC container

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to missing maintainer information and lack of a GitHub repository, raising concerns about its origin and reliability.

  • Missing maintainer information
  • Lack of a GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or backdoor.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags such as missing maintainer information and lack of a GitHub repository, indicating potential unreliability.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7976 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 67 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

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: 163.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
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 async-ioc-framework
Your task is to create a fully functional mini-application using the 'async-ioc-framework' Python package. This package is designed as a lightweight, high-performance async IoC container, which makes it ideal for managing dependencies in asynchronous applications efficiently. Your goal is to develop a simple chat server that supports multiple clients connecting simultaneously over WebSocket connections. The server should handle user registration, authentication, and real-time messaging between users.

Here are the key features your application should include:
1. User Registration: Allow new users to register with a unique username and password. Store user credentials securely.
2. Authentication: Implement secure login functionality where users can log in using their registered username and password.
3. Real-Time Messaging: Users should be able to send messages to other logged-in users in real time. Messages should be delivered instantly when a recipient is online.
4. WebSocket Support: Utilize WebSockets for establishing persistent connections between the server and clients, ensuring low-latency communication.
5. Dependency Injection: Use the 'async-ioc-framework' to manage dependencies such as database connections, user authentication services, and message routing logic. This will help in maintaining a clean and modular codebase.

To achieve these requirements, follow these steps:
- Step 1: Set up a basic Flask or FastAPI web server framework to handle HTTP requests for user registration and authentication.
- Step 2: Integrate the 'async-ioc-framework' into your application to manage asynchronous dependencies like database access and WebSocket connections.
- Step 3: Implement user registration and authentication endpoints using Flask/FastAPI. Ensure passwords are hashed before storing them.
- Step 4: Establish WebSocket connections between the server and client applications. Use the 'async-ioc-framework' to inject WebSocket connection handlers as needed.
- Step 5: Develop real-time messaging capabilities by allowing authenticated users to send messages to other users via WebSocket. Implement message routing logic within the IoC container to ensure messages are delivered to the correct recipients.
- Step 6: Test your application thoroughly to ensure all features work as expected, including handling concurrent connections and secure communications.

Remember to document your code well, explaining how you've integrated the 'async-ioc-framework' and why certain design decisions were made. This will help others understand the architecture of your application and how it leverages the power of dependency injection in an asynchronous context.

💬 Discussion Feed

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