async-redis-client

v0.2.0 suspicious
4.0
Medium Risk

Hexagonal cache and pub/sub library with sync/async Redis adapters, Fernet encryption, and Pydantic JSON.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in direct malicious activities such as network exploitation, shell command execution, obfuscation, or credential harvesting. However, its metadata risk score is elevated due to unusual commit patterns, raising suspicion about potential supply-chain issues.

  • Rapid and low-activity commit history
  • Potential supply-chain attack concerns
Per-check LLM notes
  • Network: For an async Redis client, some network calls are expected to communicate with Redis servers, but none were detected here.
  • Shell: Executing shell commands is not typical for a Redis client library unless it's part of a specific use case like setting up the environment. None detected.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
  • Credentials: No credential harvesting patterns detected, indicating no risk of secret theft.
  • Metadata: The repository's rapid commit history and low activity suggest potential suspicious behavior.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/mato777/redis-adapter#readme
  • Detailed PyPI description (9508 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

  • Classifier: Typing :: Typed
  • 215 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 19 commits in mato777/redis-adapter
  • Two distinct contributors found

🔬 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: landjourney.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • All 19 commits happened within 24 hours
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "mato777" 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-redis-client 
Create a real-time chat application using the 'async-redis-client' Python package. This application will allow multiple users to connect, send messages, and receive messages in real time. The app will leverage the package's capabilities for caching, pub/sub communication, and Fernet encryption for secure data handling. Here are the steps and features to implement:

1. **Setup Environment**: Ensure your environment has Python installed and create a virtual environment. Install the required packages including 'async-redis-client', 'fastapi', 'uvicorn', and 'pydantic'.
2. **User Authentication**: Implement a simple user authentication system where users can sign up and log in. Use Fernet encryption provided by the 'async-redis-client' package to securely store user credentials.
3. **Real-Time Messaging**: Utilize the pub/sub feature of 'async-redis-client' to enable real-time messaging. When a user sends a message, it should be published to all connected clients who are part of the same chat room.
4. **Chat Rooms**: Allow users to join different chat rooms. Each chat room should have its own unique channel on the Redis server for publishing and subscribing to messages.
5. **Persistent Storage**: Messages should also be stored persistently using the caching mechanism provided by 'async-redis-client'. This ensures that even if the server goes down, messages are not lost.
6. **UI Integration**: Develop a basic web interface using FastAPI and HTML/CSS to display chat rooms, user profiles, and the chat history.
7. **Security Enhancements**: Apply additional security measures such as rate limiting on message sending and session management to prevent abuse.
8. **Testing & Deployment**: Write unit tests for critical functionalities like authentication and message handling. Deploy the application on a cloud platform like Heroku or AWS.

By following these steps, you'll build a functional, secure, and scalable real-time chat application that leverages the advanced features of 'async-redis-client' for efficient and reliable data handling.

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