🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with very low risks across all categories checked. While there are some concerns about metadata suggesting a new maintainer or lower effort, there are no indications of malicious activity or supply-chain attacks.

Low risk scores across network, shell, obfuscation, and credential checks.
Metadata suggests potential new maintainer but no malicious indicators.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low effort and new maintainer account, but no clear malicious indicators.

🔬 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: uantwerpen.be>

✓ 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

Author "Rhys Evans & Seppe Sels" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with CTPv

Create a Python-based augmented reality (AR) utility called 'Plücker AR' that leverages the CTPv package to enhance user interaction with real-world objects through digital overlays. This utility will allow users to place virtual 3D models on surfaces detected from their camera feed and manipulate these models using hand gestures. The application should include the following core functionalities:

1. **Camera Integration**: Utilize the camera module from CTPv to capture real-time video streams from the user's device camera.
2. **Object Detection**: Implement a feature to detect flat surfaces within the camera feed, such as tables or walls, where virtual objects can be placed.
3. **Plücker Line Representation**: Use the Plücker line representation from CTPv to accurately map the position and orientation of the detected surfaces relative to the camera. This will enable precise placement of virtual objects.
4. **Transformation Utilities**: Employ the transformation utilities from CTPv to track the movement of the camera and adjust the position of virtual objects accordingly, ensuring they remain aligned with the real surface even when the camera moves.
5. **Gesture Recognition**: Incorporate basic gesture recognition to allow users to interact with the virtual objects (e.g., rotate, scale, or move).
6. **Virtual Object Placement**: Enable users to select from a library of pre-defined 3D models and place them onto detected surfaces using the Plücker line representation for accurate positioning.
7. **User Interface**: Develop a simple graphical user interface (GUI) that allows users to control the application settings and interact with the virtual objects.
8. **Documentation and Examples**: Provide comprehensive documentation and example code demonstrating how to use each feature of the 'Plücker AR' utility.

This project aims to showcase the capabilities of the CTPv package in a practical and engaging way, making it easier for developers to understand and utilize its advanced camera, Plücker line, and transformation functionalities.