🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious behavior, with low risks across all categories except for metadata, which suggests potential low effort or inactivity. There is no indication of a supply-chain attack.

No network calls or shell executions detected.
Incomplete metadata and low activity level noted.

Per-check LLM notes

Network: No network calls detected, which is normal for a computational package like aerosim-cfdmod.
Shell: No shell executions detected, indicating the package does not perform any system-level operations.
Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
Credentials: No credential harvesting patterns detected, indicating no immediate risk.
Metadata: Low activity and incomplete metadata suggest potential low effort or inactivity, but no clear signs 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: aerosim.io>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aerosim-cfdmod

Create a Python-based mini-application called 'AeroAnalyzer' which utilizes the 'aerosim-cfdmod' package to analyze Computational Fluid Dynamics (CFD) simulation data. This application should allow users to upload their CFD case files (such as .cas files), perform various analyses on them, and visualize the results. The core functionalities of AeroAnalyzer include but are not limited to:

1. **File Upload & Loading**: Implement a user-friendly interface (using a web framework like Flask) where users can upload their CFD case files. Ensure that the application can load these files into memory using the 'aerosim-cfdmod' package.

2. **Data Analysis**: Develop several key analytical functions using 'aerosim-cfdmod'. These could include calculating lift and drag coefficients, analyzing pressure distribution across surfaces, and determining velocity profiles at specific points. Each analysis function should be clearly documented and accessible through the user interface.

3. **Visualization**: Integrate visualization tools within AeroAnalyzer to display the results of the analyses graphically. For instance, users should be able to view contour plots of pressure distributions and streamlines around the analyzed geometry. Use libraries such as Matplotlib or Plotly to generate these visualizations.

4. **Report Generation**: Allow users to generate comprehensive reports summarizing the results of their analyses. Reports should include charts, tables, and descriptive text based on the data processed by 'aerosim-cfdmod'.

5. **User Interface**: Design an intuitive and responsive web interface that guides users through the process of uploading files, selecting analyses to perform, viewing results, and generating reports. Consider adding features like progress bars during file uploads and real-time feedback on analysis statuses.

6. **Error Handling & Documentation**: Ensure that AeroAnalyzer includes robust error handling to manage issues such as unsupported file formats or failed analyses. Additionally, provide comprehensive documentation explaining how to use each feature of the application, along with examples of input files and expected outputs.

The goal is to create a versatile tool that simplifies the process of analyzing CFD data for engineers and researchers, leveraging the powerful capabilities of the 'aerosim-cfdmod' package.