alenia-nerve

v1.3.2 suspicious
4.0
Medium Risk

Ultra-fast cross-platform local IPC engine for sovereign game developers.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks across various checks such as network, shell, and obfuscation, yet the incomplete metadata and new/inactive author account raise concerns about its origin and purpose.

  • Incomplete author information
  • New or inactive GitHub account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical and safe.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the account seems new or inactive, which raises some concerns but not enough to strongly indicate malice.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_core.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9106 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
  • 18 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 10 commits in Kaia-Alenia/alenia-nerve
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Kaia-Alenia/alenia-nerve appears legitimate

⚠ 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 alenia-nerve 
Your task is to develop a real-time chat application using Python that leverages the 'alenia-nerve' package for ultra-fast inter-process communication (IPC). This application will serve as a platform where multiple users can connect, send messages, and receive them in real-time. The application will run on multiple platforms and ensure data sovereignty, meaning all communications happen locally without any data leaving the user's device.

### Core Requirements:
1. **User Interface**: Develop a simple yet intuitive graphical user interface (GUI) using Tkinter. This UI should allow users to input their names, join chat rooms, and send/receive messages.
2. **Local Server**: Implement a local server using 'alenia-nerve' to handle the communication between different instances of the chat application running on the same machine. This server should be able to broadcast messages to all connected clients instantly.
3. **Message Handling**: Ensure that each message sent is received by all other connected users in the same chat room. Messages should be displayed in chronological order with timestamps.
4. **Multiple Chat Rooms**: Allow users to create and join different chat rooms. Each chat room should have its own set of active users and messages.
5. **User Management**: Users should be able to log in/out of the chat system. Upon logging out, they should no longer receive messages from the chat rooms they were previously part of.
6. **Security**: Since 'alenia-nerve' ensures data sovereignty, focus on implementing basic security measures such as encrypting messages before sending them over the local network.

### Optional Features:
1. **File Sharing**: Extend the application to allow users to share files with each other within the chat rooms. Files should be transferred securely and directly between peers without going through a central server.
2. **Notifications**: Implement desktop notifications for new messages when the application window is not focused.
3. **User Profiles**: Allow users to customize their profiles, including setting display pictures and nicknames.
4. **Admin Controls**: Provide admin controls for managing chat rooms, such as kicking users, muting users, or deleting messages.

### How to Use 'alenia-nerve':
- Initialize a server instance using 'alenia-nerve' to listen for incoming connections from client applications.
- When a client connects, use 'alenia-nerve' to establish a secure channel for communication.
- For each message sent by a client, use 'alenia-nerve' to broadcast the message to all other connected clients.
- Implement message encryption and decryption using standard cryptographic libraries available in Python.

This project aims to demonstrate the power and flexibility of 'alenia-nerve' in building efficient, secure, and scalable applications for sovereign data management.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!