AI Analysis
Final verdict: SUSPICIOUS
The package is deemed suspicious due to its recent creation, minimal activity, and single version release, despite having no detected network or shell risks.
- High metadata risk score
- Minimal package activity
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution detected, indicating no immediate risk of unauthorized command execution.
- Metadata: Highly suspicious due to recent repository creation, minimal activity, and single version release.
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
score 10.0
Git history flags: Repository created very recently: 5 day(s) ago (2026-06-01T05:27:10Z)
Repository created very recently: 5 day(s) ago (2026-06-01T05:27:10Z)Repository has zero stars and zero forksVery few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
Maintainer History
score 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "SceneAPI" 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 SceneIO
Create a Python-based mini-application called 'SceneExplorer' which utilizes the 'SceneIO' package to manage and manipulate scenes from the SceneAPI. This application will serve as a tool for developers and designers to easily import, export, and modify scene data for various applications such as games, simulations, or visualizations. Step-by-Step Instructions: 1. Setup the Project: Initialize a new Python project and install the necessary dependencies including the 'SceneIO' package. 2. Import Scenes: Implement functionality to import scenes from different formats supported by 'SceneIO'. Users should be able to select a file or URL to load the scene data into the application. 3. Scene Visualization: Develop a simple GUI or command-line interface to visualize the imported scenes. Display basic properties of the scene such as dimensions, objects, and lighting. 4. Modify Scenes: Add features to allow users to modify the imported scenes. This could include changing object positions, adjusting lighting, or adding/removing elements. 5. Export Scenes: Ensure users can export their modified scenes back to the original format or to a new format supported by 'SceneIO'. 6. Advanced Features: Consider implementing advanced features such as scene merging, where multiple scenes can be combined into one, or scene splitting, where a large scene can be divided into smaller parts. 7. Documentation: Write clear documentation on how to use the 'SceneExplorer' application and how to integrate 'SceneIO' into other projects. Suggested Features: - Support for multiple file formats - Real-time visualization updates as changes are made - Undo/redo functionality for modifications - Integration with popular design software like Blender or Maya for seamless workflow - Customizable templates for common scene setups How 'SceneIO' is Utilized: - Use 'SceneIO' to handle all input/output operations related to scenes. This includes reading and writing scene files, parsing scene data, and managing any errors that may occur during these processes. - Leverage 'SceneIO' to ensure compatibility across different platforms and applications that utilize SceneAPI. - Incorporate 'SceneIO' functions to validate and clean up scene data before it is displayed or modified within the 'SceneExplorer' application.