AI Analysis
Final verdict: SUSPICIOUS
The package has minimal risks associated with network usage, shell execution, and code obfuscation. However, incomplete metadata and potentially low activity levels raise concerns about its origin and reliability.
- Metadata risk due to incomplete author information
- Potential low activity levels suggesting possible lack of community support or trust
Per-check LLM notes
- Network: No network calls detected, which is typical for many packages unless they require external services.
- Shell: No shell execution patterns detected, reducing the likelihood of malicious activities.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of potential low activity and incomplete author information, which may indicate a less established or possibly suspicious source.
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: nist.gov>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 NEMO-online-training
Create a mini-application called 'NemoPrep' which allows users to engage in preliminary online training modules provided by the NEMO platform without needing an official NEMO account. This application will serve as a gateway to familiarize users with NEMO’s core functionalities and concepts, thereby reducing the learning curve once they officially join the platform. Here’s how the app will function: 1. **User Interface**: Design a clean and intuitive UI that guides users through the registration process for accessing the training modules. The registration should be simple, requiring only essential information like name, email, and a preferred username. 2. **Training Modules**: Utilize the 'NEMO-online-training' package to fetch and display a curated set of training modules. These modules should cover introductory topics relevant to NEMO’s services and should include interactive elements such as quizzes and practical exercises. 3. **Progress Tracking**: Implement a feature that tracks user progress through each module. Users should be able to resume their training from where they left off after logging out. 4. **Feedback Mechanism**: Integrate a feedback form at the end of each module where users can provide their thoughts on the content, helping to improve future iterations of the training program. 5. **Account Creation Link**: Once a user completes the training modules, they should be prompted to create an official NEMO account directly from within the application, making the transition seamless. 6. **Security Measures**: Ensure all user data is securely stored and comply with privacy regulations. User emails should be validated to prevent spam and ensure real user engagement. 7. **Customization Options**: Allow administrators to customize the training modules and feedback forms based on specific requirements or updates from the NEMO platform. 8. **Integration Testing**: Thoroughly test the integration of the 'NEMO-online-training' package to ensure smooth operation and accurate display of training materials. This mini-application aims to enhance user experience and prepare them effectively for full participation in the NEMO ecosystem.