🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential misuse of subprocess with shell=True and signs of obfuscation using eval. These factors raise concerns about hidden malicious functionality.

Potential misuse of subprocess with shell=True
Signs of code obfuscation

Per-check LLM notes

Network: No network calls were detected.
Shell: The use of subprocess with shell=True may indicate potential risk as it can be misused for executing arbitrary commands.
Obfuscation: The code snippet shows signs of obfuscation through the use of eval and unusual formatting which may indicate an attempt to hide functionality.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The maintainer seems new and there's low metadata effort, but no clear red flags.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

"hf") matrix[i, :] = eval(new_v) print ("%.8f %.8f %.8f %.8f" % (matrix[i,0]

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

ut.flush() #os.system(cmd) def read_results(self): pass class Espr
s foutput: proc = subprocess.Popen(cmd, shell = True, env = new_env, cwd = self.directory, stdo
proc = subprocess.Popen(cmd, shell = True, env = new_env, cwd = self.directory, stdout = foutput)

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository SSCHAcode/CellConstructor appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Lorenzo Monacelli" 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 CellConstructor

Create a mini-application named 'CrystalExplorer' using Python and the 'CellConstructor' package, which is designed to facilitate atomic crystal analysis through interfaces with ASE (Atomic Simulation Environment). This application should allow users to input atomic structures and visualize their properties in a user-friendly manner. Here’s a step-by-step guide on how to develop 'CrystalExplorer':

1. **Project Setup**: Begin by setting up your Python environment and installing necessary packages such as 'CellConstructor', 'ase', and any visualization libraries you plan to use (e.g., Matplotlib).
2. **User Input Interface**: Develop a simple command-line interface where users can input the atomic structure of a crystal. This could include specifying atoms, lattice parameters, and other relevant details.
3. **Structure Analysis**: Utilize 'CellConstructor' to analyze the inputted atomic structure. Implement functions that calculate key properties such as density, energy levels, and bonding characteristics.
4. **Visualization Module**: Integrate a visualization module that allows users to view the atomic structure and its properties graphically. Ensure that the visualization includes interactive elements so users can manipulate the view and explore different aspects of the structure.
5. **Report Generation**: Add functionality to generate detailed reports based on the analysis performed. These reports should include visual representations, numerical data, and descriptive text explaining the significance of the findings.
6. **Testing and Validation**: Test the application thoroughly with various atomic structures to ensure accuracy and reliability. Validate the results against known data or theoretical models to confirm the correctness of the implemented analysis algorithms.
7. **Documentation and User Guide**: Provide comprehensive documentation including a user guide, API documentation, and examples. Ensure that new users can easily understand how to use 'CrystalExplorer' effectively.

Suggested Features:
- Support for multiple file formats for importing atomic structures.
- Real-time feedback during the input process to help users correct errors.
- Advanced visualization options like 3D rendering and animation capabilities.
- Integration with databases of known crystal structures for comparison.
- Export options for reports in various formats (PDF, HTML, etc.).