AI Analysis
Final verdict: SUSPICIOUS
The package shows no immediate signs of malicious behavior, but the high metadata risk due to a single contributor with incomplete information raises concerns about potential supply-chain risks.
- High metadata risk due to single contributor with minimal activity and incomplete author information.
- Otherwise, low risks across other categories.
Per-check LLM notes
- Network: No network calls detected, which is normal for a benign utility like MusicConverter.
- Shell: No shell executions detected, reducing the risk of malicious activities.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: High risk due to single contributor with minimal activity and incomplete author information.
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
score 3.0
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 5.0
Git history flags: Very few commits: 1 total
Very few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 MusicConverter
Create a music conversion utility named 'MelodyMorpher' using the Python package 'MusicConverter'. This utility will allow users to upload their own audio files and convert them into various musical styles such as jazz, classical, rock, etc. The application should have a user-friendly interface where users can select their input file, choose the desired output style, and start the conversion process. Additionally, MelodyMorpher should include features like real-time progress tracking, the ability to preview the converted audio before downloading it, and an option to save the converted audio directly to cloud storage services like Google Drive or Dropbox. Utilize the 'MusicConverter' package to handle the core functionality of converting the audio files into different styles. Ensure that the application is designed to efficiently manage large audio files and provide informative error messages for any issues encountered during the conversion process.