🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low direct risks such as network, shell, obfuscation, and credential risks, but the lack of a repository and sparse maintainer information raises concerns about the legitimacy and maintenance of the package.

Repository not found
Sparse maintainer information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution detected, indicating no immediate risk of command injection or unauthorized system access.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository is not found, and the maintainer information is sparse, indicating potential risk.

🔬 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: unr.edu>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 SiteResPy

Create a mini-application named 'SeismicWaveAnalyzer' using the Python package 'SiteResPy'. This application will simulate the propagation of seismic waves (SH, P, and SV) through different geological layers. Users will input details about the layers (thickness, material properties), the type of wave, and source parameters. The app will then calculate and visualize the wave propagation through these layers, providing insights into how different geological conditions affect seismic waves.

Key Features:
1. User-friendly interface allowing input of layer details (number of layers, thickness, density, and elastic constants).
2. Selection of wave type (SH, P, or SV) and source parameters (frequency, amplitude).
3. Utilization of SiteResPy for accurate wave propagation simulation through the specified layered media.
4. Generation of plots showing wave propagation through each layer, highlighting reflections, refractions, and transmission at interfaces.
5. Option to save results and visualizations for further analysis or reporting.

Steps to Develop:
1. Set up a basic Python environment with necessary packages including SiteResPy.
2. Design the user interface for inputting layer and wave parameters.
3. Implement the logic to call SiteResPy functions for wave propagation simulation based on user inputs.
4. Integrate plotting libraries (like matplotlib) to visualize wave propagation.
5. Add functionality to save output data and visualizations.
6. Test the application thoroughly with various scenarios to ensure accuracy and reliability.