🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network calls, shell execution, obfuscation, and credential handling. However, the incomplete metadata and lack of an associated GitHub repository raise concerns about its origin and reliability.

Metadata risk due to incomplete author details
No associated GitHub repository

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 immediate risk of command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
Metadata: The package has no associated GitHub repository and the author details are incomplete, suggesting potential unreliability.

🔬 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 KratosCableNetApplication

Create a Python-based application that simulates the behavior of cable networks under various environmental conditions using the KratosCableNetApplication package. This application will serve as a tool for engineers and researchers to understand the dynamics of cable systems in different scenarios, such as varying temperatures, wind speeds, and structural loads.

The application should include the following key features:
1. User Interface: Develop a simple, intuitive GUI using a library like PyQt5 or Tkinter, where users can input parameters such as cable material properties, length, diameter, and environmental conditions.
2. Simulation Engine: Utilize KratosCableNetApplication to model the cable network's behavior based on user inputs. The engine should be able to handle complex cable networks with multiple cables and supports.
3. Visualization Module: Implement real-time visualization of the cable network's response to applied loads and environmental changes. Use Matplotlib or similar libraries to create dynamic plots and graphs.
4. Data Export: Allow users to export simulation results in CSV or JSON format for further analysis.
5. Documentation: Provide comprehensive documentation explaining how to install and use the application, including examples and tutorials.

Steps to develop the application:
1. Set up your development environment with Python and the necessary packages, including KratosCableNetApplication.
2. Design the GUI layout and functionality using a chosen Python GUI toolkit.
3. Integrate KratosCableNetApplication into your codebase to perform simulations based on user inputs.
4. Implement visualization tools to display the simulation outcomes dynamically.
5. Add data export capabilities to allow users to save their simulation results.
6. Write detailed documentation and tutorials to guide users through the setup and usage of the application.
7. Test the application thoroughly to ensure it meets all specified requirements and functions correctly under various conditions.