Aerosol3D

v0.9.0 suspicious
4.0
Medium Risk

3D aerosol particle modeling and optical property computation

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and shell execution, which could be used maliciously. However, there is no evidence of network calls or credential harvesting, reducing immediate concerns.

  • Potential obfuscation through use of eval and external library imports
  • Undocumented shell execution
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: Shell execution detected may indicate potential risk if not documented or necessary for package functionality.
  • Obfuscation: The use of eval and importing external libraries like CUDA suggests potential obfuscation to hide code logic.
  • Credentials: No clear patterns indicating credential harvesting were found.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

  • Main # noqa: F401 Main.eval("using CoupledElectricMagneticDipoles") # JIT warmup wit
  • on first real call) Main.eval("DDACore.solve_DDA_e([0.0 0.0 0.0], [1.0im])") _julia_in
  • lia import Main Main.eval("using CUDA") Main.eval("CUDA.functional()")
  • al("using CUDA") Main.eval("CUDA.functional()") _gpu_checked = True log
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • path)]) result = subprocess.run(cmd, capture_output=True) # noqa: S603 if resu
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: example.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository openEarthModelling/Aerosol3D appears legitimate

⚠ 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 Aerosol3D 
Create a mini-application named 'AerosolVisualizer' using the Python package 'Aerosol3D'. This application will allow users to model and visualize 3D aerosol particles, compute their optical properties, and simulate scattering effects under different environmental conditions. Here’s a detailed breakdown of the steps and features to include:

1. **Setup Environment**: Begin by setting up a virtual environment and installing necessary packages including 'Aerosol3D', 'numpy', 'matplotlib', and 'ipywidgets'.
2. **User Interface**: Develop a simple yet intuitive user interface where users can input parameters such as particle size distribution, refractive index, and wavelength of light.
3. **Modeling & Visualization**: Utilize 'Aerosol3D' to model the aerosol particles based on the user inputs. Implement functions to visualize these particles in 3D space using matplotlib or any other suitable library.
4. **Optical Property Computation**: Compute and display key optical properties such as extinction coefficient, scattering coefficient, and asymmetry parameter for the modeled aerosol particles.
5. **Simulation of Scattering Effects**: Simulate the scattering of light by the aerosol particles under various angles and wavelengths. Allow users to interactively change these parameters and observe changes in the scattering patterns.
6. **Saving & Exporting Results**: Provide options for users to save their models, visualizations, and computed data in formats like .png, .pdf, or .csv.
7. **Documentation & Help**: Include comprehensive documentation and a help section within the application to guide users through its functionalities and parameters.

The application should leverage 'Aerosol3D' for its core functionalities, ensuring accurate and efficient modeling and computation of aerosol particles. Aim to create an engaging tool that not only educates but also empowers users to explore complex phenomena related to aerosols.