🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning behaviors, particularly regarding shell execution and obfuscation techniques, which could indicate potential risks. However, without concrete evidence of malicious intent, it cannot be conclusively labeled as malicious.

High shell risk due to potential git cloning during installation
Use of base64 encoding suggesting possible code or data hiding

Per-check LLM notes

Network: No network calls were detected, which is not necessarily suspicious.
Shell: The shell execution pattern suggests the package may be intended to clone a git repository during installation, which could be legitimate but also indicates potential for unexpected behavior or dependency injection.
Obfuscation: The use of base64 decoding might indicate an attempt to hide code logic or data, but it could also be used for legitimate purposes such as handling image data.
Credentials: No clear patterns indicating credential harvesting were detected.
Metadata: The maintainer's author information is incomplete, which could indicate a lower level of trustworthiness.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

images.append(base64.b64decode(image_text)) text = i.comma

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

Path to gcodes/ directory subprocess.call(['git', 'clone', 'https://github.com/Matszwe02/GcodeTools_gc

✓ 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 matszwe02/GcodeTools 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 GcodeTools

Create a Python-based desktop application called 'GcodeVisualizer' which leverages the 'GcodeTools' library to visualize and manipulate G-code files commonly used in CNC machines. This application should serve as a user-friendly interface for hobbyists and professionals working with CNC machines. Here are the key functionalities and steps to implement:

1. **File Handling**: Allow users to import G-code files into the application. Use GcodeTools to read these files efficiently.
2. **Visualization**: Implement a graphical representation of the G-code commands within the application. Users should be able to see a 2D/3D preview of the path defined by the G-code commands.
3. **Manipulation Features**: Include tools for modifying the imported G-code. For example, allow scaling, rotation, and translation of the G-code paths. Utilize GcodeTools' writer capabilities to save modified versions of the G-code files.
4. **Interactive Controls**: Provide interactive controls within the GUI that let users zoom in/out, pan across the view, and adjust other settings related to the visualization.
5. **Export Functionality**: Enable users to export their modified G-code back into a file format compatible with CNC machines.
6. **Error Detection**: Integrate basic error detection features that highlight any potential issues in the G-code before it's exported, ensuring the final output will work correctly on a CNC machine.
7. **User Interface**: Design an intuitive UI with clear navigation and easy-to-understand visual feedback. Ensure all major functionalities are accessible via both menu options and keyboard shortcuts.

This project aims to streamline the workflow for those dealing with CNC machinery, providing them with a powerful yet simple toolset for managing and visualizing G-code files.