AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risk factors such as no network calls, shell execution, or obfuscation. However, the metadata risk score is elevated due to incomplete author information and limited maintainer involvement, raising suspicion about the package's origin and intentions.
- Incomplete author information
- Limited maintainer involvement
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is incomplete and the maintainer has limited involvement with other packages, which could indicate a less experienced or potentially suspicious actor.
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: esiee.fr>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository jfbercher/labquiz 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 LabQuizBundle
Create a fully functional educational platform named 'QuizMaster' using the Python package 'LabQuizBundle'. This platform will serve as a comprehensive tool for educators to create, manage, and deliver quizzes to students online. The core functionalities of 'QuizMaster' include: 1. **Quiz Creation**: Utilize the 'quiz-editor' component of LabQuizBundle to design engaging quizzes with various question types such as multiple choice, true/false, and short answer questions. Educators should be able to add images and explanations to questions to enhance learning. 2. **Quiz Management**: Implement the 'labquiz' component to manage quizzes, including editing existing quizzes, deleting old ones, and archiving completed quizzes. Additionally, allow educators to schedule quizzes for specific dates and times. 3. **Student Performance Tracking**: Use the 'quiz-dash' component to track student performance over time. This feature should provide detailed analytics on each student's progress, including correct answers, wrong answers, and time spent on each question. 4. **Interactive Learning**: Integrate real-time feedback mechanisms within the quizzes so that students receive immediate responses after answering a question. This will help them understand their mistakes and learn from them promptly. 5. **User Authentication**: Ensure that both educators and students need to log in to access the platform. Use secure authentication methods to protect user data. 6. **Responsive Design**: Make sure the platform is accessible and usable on different devices, including desktops, tablets, and smartphones. 7. **Customization Options**: Allow educators to customize the look and feel of the quizzes, including themes, fonts, and colors, to match their teaching style. 8. **Accessibility Features**: Incorporate accessibility features such as screen reader support and keyboard navigation to ensure the platform is inclusive for all users. The 'LabQuizBundle' package will be utilized throughout the development process to handle the creation, management, and delivery of quizzes. It will also be crucial for tracking student performance and providing real-time feedback. Your task is to design and implement these features, ensuring a seamless and efficient user experience for both educators and students.