🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators with no detected network calls, shell executions, obfuscations, or credential mishandling. The primary concern is the author's limited history with only one package.

No network calls detected.
Only one package from the author.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external API interactions.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or system exploitation.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities were flagged.

🔬 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: proton.me>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository EchterAlsFake/EPorner_API appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Johannes Habel" 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 Eporner_API

Develop a comprehensive video discovery tool called 'Eporner Explorer' using the Eporner_API Python package. This application should allow users to search for videos on Eporner.com based on various criteria such as tags, categories, duration, and popularity. Additionally, it should provide functionality to save favorite videos, share video links via social media, and display video thumbnails alongside metadata.

Step-by-Step Instructions:
1. Begin by setting up a Python virtual environment and installing the Eporner_API package.
2. Design a user-friendly command-line interface (CLI) for the application where users can input their search queries.
3. Utilize the Eporner_API to fetch video data based on the user's search parameters. Ensure you handle pagination if there are more results than fit into one API call.
4. Display the fetched video information neatly, including title, thumbnail URL, duration, category, and number of views.
5. Implement a feature that allows users to mark videos as favorites and store these favorites locally on their device.
6. Add functionality to open video pages directly in a web browser from within the CLI app.
7. Optionally, extend the application to include a graphical user interface (GUI) using a library like Tkinter or PyQt, making it more accessible to non-technical users.
8. Ensure all external URLs are validated and sanitized before being displayed or opened to prevent security risks.
9. Test the application thoroughly with different search scenarios to ensure reliability and accuracy.
10. Document the code well and include instructions for installation and usage in the README file.

Suggested Features:
- Ability to sort search results by date, relevance, or popularity.
- Integration with a local database to store favorite videos persistently.
- Option to filter results by video length (e.g., short clips, full-length).
- Support for multiple languages to cater to a global audience.
- Advanced filtering options like specific performers or series.