🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks as indicated by low scores across all categories. It does not engage in network calls, shell executions, or obfuscations, and there are no signs of credential harvesting. The metadata risk is slightly elevated due to non-secure links, but this alone does not indicate malicious intent.

No network calls detected.
No shell execution patterns found.

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 executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
Metadata: Low risk with non-secure links but no typosquatting or suspicious maintainer history.

🔬 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: lists.sourceforge.net

⚠ Suspicious Page Links score 6.0

Found 3 suspicious link(s) on the package page

Non-HTTPS external link: http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2007-5741.
Non-HTTPS external link: http://dev.plone.org/plone/ticket/6943.
Non-HTTPS external link: http://dev.plone.org/plone/ticket/6109.

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Hanno Schlichting" 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 Products.statusmessages

Create a simple web-based task management tool using Flask as the backend framework and integrating the 'Products.statusmessages' package for handling user feedback and status messages. This tool should allow users to add, delete, and mark tasks as completed. Each action should provide appropriate feedback messages to the user based on the operation's success or failure, leveraging the 'Products.statusmessages' package for internationalization support.

Steps to complete this project:
1. Set up a basic Flask application structure with routes for adding, deleting, and updating task statuses.
2. Integrate the 'Products.statusmessages' package into your Flask app to manage status messages. Configure it to store messages in client-side cookies and ensure it supports multiple languages.
3. Implement forms for adding new tasks, including fields for task description and priority level.
4. Add functionality to mark tasks as completed or deleted, ensuring these actions update the database accordingly.
5. Use 'Products.statusmessages' to display appropriate feedback messages after each action (e.g., 'Task added successfully', 'Task deletion failed'). Ensure these messages are localized based on the user's preferred language setting.
6. Optionally, implement a feature to filter tasks by completion status or priority.
7. Test the application thoroughly, ensuring all features work as expected and messages are correctly displayed.
8. Deploy the application to a platform like Heroku or AWS for others to try out.

Suggested Features:
- User authentication to restrict access to only their own tasks.
- Task priority levels (low, medium, high).
- Option to set due dates for tasks.
- Ability to edit task descriptions.
- Email notifications for task completions or deadlines approaching.
- Localization support for at least two languages.