KratosShallowWaterApplication

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 lacks a GitHub repository and has incomplete maintainer information, raising concerns about its origins and maintenance.

  • Incomplete maintainer information
  • No associated GitHub repository
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, which raises some suspicion but not enough to conclude malice.

🔬 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 KratosShallowWaterApplication
Create a mini-application that simulates water flow over a terrain using the KratosShallowWaterApplication package in Python. This application will allow users to input a digital elevation model (DEM) of a landscape and simulate how water would flow across it based on real-world hydrological principles. The goal is to visualize the formation of rivers, lakes, and other water bodies as influenced by topography and rainfall.

**Step-by-Step Requirements:**
1. **Setup Environment**: Ensure that the KratosShallowWaterApplication package is installed and properly configured in your Python environment. If not already available, install Kratos and its dependencies from its official repository.
2. **Input Handling**: Design a simple GUI or command-line interface where users can upload a DEM file (in a common format like GeoTIFF). The application should validate the input to ensure it meets the necessary criteria for processing.
3. **Simulation Setup**: Utilize KratosShallowWaterApplication to set up the simulation parameters including initial conditions such as rainfall intensity, duration, and spatial distribution. Users should have options to customize these settings.
4. **Run Simulation**: Implement functionality within the application to run the simulation using the KratosShallowWaterApplication. This involves configuring Kratos models and solving them to predict water flow dynamics.
5. **Visualization**: Develop tools to visualize the results of the simulation. This could include plotting contour maps of water depth, velocity vectors, and animations showing how water moves across the terrain over time.
6. **Output Generation**: Provide options for users to export the simulation results in various formats such as images, videos, or data files for further analysis.

**Suggested Features:**
- Real-time visualization during simulation.
- Historical climate data integration for more realistic simulations.
- Comparative analysis tool to see differences between different scenarios.
- Detailed documentation and user guides.

The KratosShallowWaterApplication package will be utilized extensively for setting up the physical model of the shallow water equations, running the numerical simulations, and possibly for post-processing the simulation results. It is expected to handle complex computations efficiently, allowing for large-scale and high-resolution simulations.