AI Analysis
Final verdict: SUSPICIOUS
The package has some legitimate functionalities but raises concerns due to shell execution capabilities and unclear maintenance status.
- Shell risk indicating potential for arbitrary code execution
- Missing repository and inactive maintainer account
Per-check LLM notes
- Network: No network calls detected, which is typical for many packages.
- Shell: Shell execution commands may indicate potential for executing arbitrary code, which could be misused for malicious purposes.
- Obfuscation: The code pattern appears to be a conditional import statement rather than malicious obfuscation.
- Credentials: No evidence of credential harvesting or secret handling is present.
- Metadata: The missing repository and the new/inactive maintainer account raise concerns about the legitimacy of the package.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
try: __import__(pkg_name if pkg_name != "ovito" else "ovito.io") except ImportError:
Shell / Subprocess Execution
score 8.0
Found 4 shell execution pattern(s)
file: subprocess.run( command,process = subprocess.Popen( command_list,file: subprocess.run(command, shell=True, check=True, stdout=outfile, stderr=subp-s {tpr}" subprocess.run(cmd, shell=True, check=True,
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: okstate.edu>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 MDTransport
Create a mini-application named 'DiffusionAnalyzer' using the MDTransport package, which is designed to analyze diffusion coefficients from molecular dynamics simulations conducted with GROMACS and LAMMPS. This application will serve as a user-friendly interface for researchers to input their simulation data and receive comprehensive analysis on particle diffusion within their systems. Here’s a step-by-step guide to building this application: 1. **Setup Environment**: Begin by setting up a virtual environment for your project. Ensure you install MDTransport along with other necessary Python packages such as numpy, pandas, and matplotlib. 2. **Input Interface**: Develop a simple command-line interface where users can upload their trajectory files (e.g., .trr, .dcd) and topology files (e.g., .gro, .pdb). The application should also allow users to specify parameters such as the type of particles they are interested in analyzing and the time frame of interest. 3. **Data Processing**: Utilize MDTransport to process the uploaded simulation data. Implement functions to extract relevant information about particle positions over time and calculate mean squared displacements (MSD). 4. **Analysis & Visualization**: Calculate the diffusion coefficient from the MSD data. Provide options for visualizing the MSD plots and diffusion coefficient values. Use matplotlib to generate these visualizations, ensuring they are clear and informative. 5. **Output & Reporting**: Allow users to save the analysis results and visualizations locally. Additionally, generate a summary report detailing key findings from the analysis, including average diffusion coefficients and any trends observed. 6. **Advanced Features (Optional)**: Consider adding advanced features like comparing diffusion coefficients across different simulation conditions, performing statistical tests on the diffusion data, or integrating with other tools for further analysis. By following these steps, you'll create a powerful yet accessible tool for researchers working with molecular dynamics simulations.