KratosConvectionDiffusionApplication

v10.4.2 suspicious
4.0
Medium Risk

KRATOS Multiphysics ("Kratos") is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits minimal risk in terms of network, shell, and obfuscation activities, but the lack of a linked GitHub repository and incomplete maintainer information raises concerns about its provenance and support.

  • Incomplete maintainer information
  • No linked GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal for most computational packages without external dependencies or services.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for non-system utility applications.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity aimed at stealing secrets or credentials.
  • Metadata: The package has no associated GitHub repository and the maintainer's information is incomplete, raising some concerns but not conclusive evidence of malicious intent.

🔬 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: listas.cimne.upc.edu>

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 KratosConvectionDiffusionApplication
Create a Python-based mini-application that simulates heat transfer in a simple geometric shape (e.g., a rectangular plate) using the KratosConvectionDiffusionApplication package. This application will allow users to input initial conditions such as temperature distribution across the plate, boundary conditions like fixed temperatures on edges, and material properties such as thermal conductivity. Additionally, the user should be able to specify time parameters for the simulation, including total simulation time and time step size.

Core Features:
1. User Interface: Develop a simple GUI using Tkinter that allows users to input parameters and visualize results.
2. Simulation Engine: Use the KratosConvectionDiffusionApplication to set up and run the simulation based on user inputs.
3. Visualization: Implement matplotlib to display the temperature distribution over the plate at different times during the simulation.
4. Saving Results: Provide an option to save the final temperature distribution as a CSV file.
5. Real-time Update: Show real-time updates of the temperature distribution on the GUI during the simulation.

Detailed Steps:
1. Setup: Install KratosConvectionDiffusionApplication and ensure it's correctly configured with your Python environment.
2. Design the GUI: Create a form where users can input dimensions of the plate, initial temperature distribution, boundary conditions, material properties, and simulation parameters.
3. Integration with Kratos: Write a function that takes the user inputs and sets up the simulation model within KratosConvectionDiffusionApplication. This involves defining the domain, materials, boundary conditions, and solving the convection-diffusion equation.
4. Visualization Module: Develop a module that retrieves the temperature data from Kratos at each time step and updates the visualization in real-time.
5. Save and Export: Implement functionality to save the final state of the simulation as a CSV file for further analysis.
6. Testing and Validation: Run several test cases with known solutions to validate the accuracy of your simulation.
7. Documentation: Provide clear documentation on how to use the application and interpret its outputs.