AI Analysis
Final verdict: SUSPICIOUS
The package shows no immediate signs of malicious activity, but the lack of network calls and sparse metadata raise concerns about its legitimacy and purpose.
- Low network risk, unusual for an API client
- Sparse author details and possibly inactive account
Per-check LLM notes
- Network: No network calls detected, which is unusual for an API client but does not necessarily indicate risk without further context.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author's details are sparse and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
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: jeanloui.dev>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository JeanExtreme002/FlightRadarAPI 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 FlightRadarAPI
Create a real-time flight tracking mini-application using the Python package 'FlightRadarAPI'. This application will allow users to input an airport code or a specific flight number to get live information about flights. The app should include the following features: 1. **User Input**: A user-friendly interface where users can enter either an airport code or a flight number. 2. **Real-Time Data Fetching**: Utilize the FlightRadarAPI to fetch real-time data such as the current position, altitude, speed, and destination of the flight(s). 3. **Data Display**: Present the fetched data in an organized manner, including the flightβs route on a map. Use libraries like Folium for mapping capabilities. 4. **Alert System**: Implement a feature that sends an alert if a flight is delayed or has been canceled based on the real-time data. 5. **Historical Data Option**: Provide an option for users to view historical flight data, which can be fetched from the API and displayed similarly to the real-time data. 6. **User Authentication**: For advanced features, implement a basic user authentication system allowing users to save their preferences and favorite flights. The application should start by installing the FlightRadarAPI package and any other necessary packages. Then, it should set up a simple command-line interface or a graphical user interface for user interaction. After fetching the data from the FlightRadarAPI, the application should process and display the information accordingly. Finally, ensure the application is well-documented and includes comments explaining how each part works.