AI Analysis
The package shows low risks in terms of network, shell, obfuscation, and credential handling. However, there is a notable metadata risk due to suspicious activities in the git repository and maintainer history, which raises concerns about potential supply-chain compromise.
- Suspicious metadata risk
- No immediate exploitation vectors detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: Suspicious activity around the git repository and maintainer history suggests potential risk.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3750 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed17 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 3 commits in elyor04/aiosocketSingle author with few commits β possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Single contributor with only 3 commit(s) β possibly throwaway account
Single contributor with only 3 commit(s) β possibly throwaway accountAll 3 commits happened within 24 hours
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a simple yet functional chat server using the 'aiosocket-python' library. This server will allow multiple clients to connect simultaneously, send messages to each other, and also broadcast messages from one client to all connected clients. Hereβs a detailed breakdown of what you need to accomplish: 1. **Setup**: Begin by installing the necessary packages, including 'aiosocket-python'. Ensure your environment is set up correctly. 2. **Server Initialization**: Create a TCP server that listens on a specific port (e.g., 8080). Use the 'aiosocket-python' library to handle asynchronous connections efficiently. 3. **Client Handling**: Implement functionality where each client can send and receive messages. When a client connects, assign them a unique identifier (ID). 4. **Message Broadcasting**: Develop a feature that allows any client to send a message which is then broadcasted to all other connected clients. This should include handling the broadcasting logic within the server. 5. **User Interface**: Design a simple command-line interface (CLI) for the client side. This CLI should allow users to connect to the server, send messages, and display incoming messages in real-time. 6. **Error Handling**: Incorporate error handling to manage situations such as disconnections, invalid inputs, and unexpected errors gracefully. 7. **Testing**: Write tests to ensure your server can handle multiple simultaneous connections, message broadcasting works correctly, and clients can connect and disconnect without causing issues. Suggested Features: - Implement a feature to display the number of currently connected clients. - Add support for private messaging between two clients. - Include a way to kick a user from the server. - Allow users to change their nickname while they are connected. - Implement a logging mechanism to record all activities and messages exchanged on the server. Remember to document your code thoroughly and ensure it is clean and maintainable. Your goal is not only to create a functional chat server but also to demonstrate proficiency in using 'aiosocket-python' to build scalable and efficient applications.
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