AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators with no obfuscation or credential harvesting attempts. The use of subprocess for downloading files is flagged as potentially risky but appears to be within the expected functionality of a music client.
- Low obfuscation and credential risks
- Potential misuse of subprocess for downloading files
Per-check LLM notes
- Network: Network calls to external services are likely for fetching music data, which is expected for a music-related application.
- Shell: Use of subprocess for downloading files might indicate legitimate functionality but could also be a risk for executing arbitrary commands, suggesting potential misuse.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No secret harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious flags were raised.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
try: return requests.get(action).json() except requests.exceptions.RequestExc
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 5 shell execution pattern(s)
self.aria2c = subprocess.Popen( para, stdinself.wget = subprocess.Popen( para, stdintry: process = subprocess.Popen( para, stdin=subprocess.DEVNself.popen_handler = subprocess.Popen( para, stdin=subprocess.PIPE, stdout=subprocess.ation_time) try: subprocess.call(command) return True except OSError: ret
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 darknessomi/musicbox appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "omi" 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 NetEase-MusicBox
Create a mini-application named 'MusicMasterCLI' using the Python package 'NetEase-MusicBox'. This application will serve as a command-line interface (CLI) for managing your favorite songs from NetEase Cloud Music. Your task is to design a user-friendly CLI tool that allows users to search for songs, play them directly from the terminal, create playlists, and manage their personal music library efficiently. **Features to Implement:** 1. **Search Functionality**: Users should be able to search for songs based on keywords like song names, artists, or album titles. 2. **Play Songs**: Once a song is found, users should have the ability to play it directly through the terminal using 'NetEase-MusicBox'. 3. **Playlist Management**: Allow users to create, name, and add songs to their playlists. They should also be able to view, edit, and delete playlists. 4. **User Preferences**: Enable users to set default preferences such as preferred language, volume levels, and playback speed. 5. **Interactive Help System**: Include a comprehensive help system that guides users on how to use the application effectively. **Utilizing 'NetEase-MusicBox':** - Use 'NetEase-MusicBox' to handle all the interactions with the NetEase Cloud Music API, including searching for songs and playing them directly in the terminal. - Explore the documentation of 'NetEase-MusicBox' to understand its capabilities and limitations. - Ensure that your implementation leverages the 'NetEase-MusicBox' functionalities to provide a seamless experience for the end-users. This project aims to showcase your skills in developing a functional CLI application while integrating third-party packages effectively.