AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risks across various categories but raises suspicion due to incomplete author information and the maintainer's single package history.
- Incomplete author information
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The author information is incomplete and the maintainer has only one package, which may indicate a less established or potentially suspicious account.
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: yahoo.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository mrGSOF/arduBridge appears legitimate
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 GSOF-ArduBridge
Create a home automation system using Python and an Arduino that leverages the GSOF-ArduBridge package for communication. This system should allow you to control various household devices such as lights, fans, and a smart lock via a simple web interface. The application will utilize the GSOF-ArduBridge package to establish a reliable communication protocol between the Python backend and the Arduino microcontroller. ### Step-by-Step Guide: 1. **Set Up Environment**: Ensure you have Python installed on your machine along with the GSOF-ArduBridge package. Install necessary Python libraries for web development like Flask or Django. 2. **Arduino Configuration**: Program the Arduino to control the connected devices (e.g., relays for lights, fan speed controllers). Ensure it is set up to communicate over serial with the computer. 3. **Communication Setup**: Use GSOF-ArduBridge to handle the serial communication between the Python application and the Arduino. Implement functions to send commands from Python to Arduino and vice versa. 4. **Web Interface Development**: Develop a simple web interface using Flask/Django where users can toggle device states (on/off), adjust settings (e.g., fan speed), and receive status updates from the Arduino. 5. **Testing & Debugging**: Test the entire setup in different scenarios to ensure reliability and responsiveness of the system. 6. **Enhancements**: Consider adding features such as logging device usage, integrating with IoT platforms (e.g., Home Assistant), or implementing user authentication for the web interface. ### Core Features: - Control devices remotely through a web browser. - Real-time status updates displayed on the web interface. - User-friendly interface for easy interaction. - Secure communication between Python and Arduino using GSOF-ArduBridge. ### Utilization of GSOF-ArduBridge: GSOF-ArduBridge acts as the backbone of this project, facilitating seamless data exchange between the Python application and the Arduino. It handles the low-level communication protocols, ensuring that commands sent from the Python app are correctly interpreted by the Arduino and vice versa. Additionally, it supports error handling and retries, making the system more robust and reliable.