AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risks in terms of network activity, shell execution, and code obfuscation. However, the metadata risk score is elevated due to new maintainers and the absence of a Git repository.
- Metadata risk due to new maintainers
- Lack of a Git repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires online resources to function.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainers appear new and the lack of a Git repository is concerning, but no other red flags are present.
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: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Arthur Ayestas Hilgert, Jeremie Choquette" 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 SALTISE-course-flow
Your task is to create a fully-functional mini-application called 'CoursePlanner' using the Python package 'SALTISE-course-flow'. This application will help university students plan their academic courses more efficiently. Here are the steps and features you need to implement: 1. **User Registration and Login**: Allow users to register and log into the application using their email and password. Once logged in, they should be able to access personalized course planning features. 2. **Course Selection Interface**: Implement a user-friendly interface where students can browse available courses based on different criteria such as department, semester, and prerequisites. Use the 'SALTISE-course-flow' package to dynamically load and display course information. 3. **Course Schedule Creation**: Enable users to drag-and-drop courses into a customizable schedule grid, ensuring no time conflicts occur. Utilize 'SALTISE-course-flow' to validate schedules against course timings and prerequisites. 4. **Personalized Recommendations**: Based on the courses a student has already selected, suggest additional courses that complement their current selection or fulfill degree requirements. Use 'SALTISE-course-flow' to analyze course relationships and generate recommendations. 5. **Progress Tracking**: Allow students to track their progress towards fulfilling their degree requirements. Display a visual representation of completed courses and remaining requirements. 6. **Exportable Schedule**: Provide an option for students to export their finalized schedules in PDF or CSV format for printing or sharing with advisors. The 'SALTISE-course-flow' package is essential for handling the dynamic loading of course data, validating schedules, generating recommendations, and tracking progress. Your application should showcase the package's capabilities while providing practical value to university students.