🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential shell execution which could be used for malicious purposes, despite having low risks in other areas such as obfuscation and credential theft.

Shell risk detected
Incomplete maintainer information

Per-check LLM notes

Network: No network calls detected.
Shell: Detection of shell execution may indicate an attempt to execute system commands, which could be benign but also indicative of potential malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

import ctypes import sys os.system('color') kernel32 = ctypes.windll.kernel32 stdout_hand

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: idaerosolutions.com>

✓ 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 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 NaxToPy

Create a mini-application named 'FEMPostProcess' using the Python package 'NaxToPy', which specializes in postprocessing Finite Element Method (FEM) results. This application will serve as a tool for engineers and researchers to visualize and analyze their FEM simulation data more effectively.

Step 1: Define the Core Functionality
- The application should read FEM result files (e.g., .vtk, .txt) from a specified directory.
- It should utilize NaxToPy's functions to process these files, including filtering, averaging, and extracting specific data points based on user-defined criteria.
- Users should be able to select between different types of postprocessing operations, such as stress analysis, displacement analysis, or temperature distribution visualization.

Step 2: Implement Visualization Features
- Integrate a plotting library like Matplotlib or Plotly to create visual representations of the processed data.
- Allow users to choose between various plot types (line plots, scatter plots, contour plots, etc.) depending on the nature of the FEM results.
- Provide options to customize the appearance of the plots, such as color schemes, axis labels, and titles.

Step 3: Add Interactive Elements
- Develop an interactive interface where users can manipulate the data in real-time (e.g., zoom in/out, pan across the plot).
- Include a feature for exporting the final plots and any relevant numerical data to common file formats like PNG, PDF, or CSV.

Step 4: Enhance Usability
- Design a simple and intuitive command-line interface (CLI) or graphical user interface (GUI) for interacting with the application.
- Implement error handling to manage issues such as incorrect file formats, missing data, or invalid user inputs.
- Document the application thoroughly, explaining each feature and providing examples of how to use it effectively.

How to Utilize NaxToPy:
- Use NaxToPy's 'read_fem_results()' function to import FEM data into your application.
- Apply NaxToPy's 'filter_data()' method to refine the imported data according to user specifications.
- Leverage NaxToPy's 'plot_results()' function to generate visual outputs, customizing the plots through additional parameters passed to this function.

This mini-application will streamline the postprocessing phase of FEM simulations, making it easier for users to interpret complex simulation data.