AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell execution, obfuscation, and credential handling. However, its newness and lack of maintainer history raise some concerns about its legitimacy.
- New package with limited maintainer history
- No linked GitHub repository
Per-check LLM notes
- Network: No network calls suggest the package is not designed to communicate externally.
- Shell: No shell execution patterns indicate the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is brand new with limited maintainer history and no linked GitHub repository, which raises some suspicion but does not definitively indicate malice.
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "adome maintainers" 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 adome
Create a simple yet powerful command-line utility called 'AdomeSync' using the 'adome' Python package. AdomeSync will serve as a file synchronization tool that allows users to synchronize files between their local machine and a remote server. The tool should support basic functionalities like adding, removing, and listing files to be synchronized. Additionally, it should offer advanced options such as setting up scheduled syncs and providing detailed logs of sync activities. Step-by-Step Guide: 1. Setup the Project: Initialize a new Python project and install the 'adome' package. 2. Define Core Features: Implement functionalities to add, remove, and list files for synchronization. 3. Integrate Scheduling: Allow users to schedule automatic syncs at specified intervals. 4. Add Logging: Provide detailed logging of all sync activities, including timestamps and success/failure status. 5. Enhance User Experience: Include help documentation and error handling to improve user interaction. 6. Test Thoroughly: Ensure the tool works as expected under various scenarios and edge cases. 7. Deployment: Package the tool for easy distribution and deployment. How 'adome' Package is Utilized: - Use 'adome' to manage the command-line interface, ensuring a clean and intuitive user experience. - Leverage 'adome' for handling file operations and system interactions efficiently. - Utilize 'adome' for integrating additional functionalities like scheduling and logging.