ailearnhub-net-site-kit

v0.1.0 suspicious
4.0
Medium Risk

Small URL helpers for AI Learn Hub.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low technical risks but shows signs of a potentially newly created and minimally maintained repository, raising concerns about its legitimacy and purpose.

  • Repository appears to be newly created
  • Minimal maintenance and activity observed
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 repository shows signs of being newly created and minimally maintained, which could indicate potential malicious intent.

📦 Package Quality Overall: Low (3.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_python.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (453 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in bbwdadfg/ailearnhub-net-site-kit
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: ailearnhub.net>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 ailearnhub-net-site-kit 
Your task is to develop a small yet powerful web utility called 'URL Shortener Plus'. This application will take advantage of the 'ailearnhub-net-site-kit' Python package to provide users with a convenient way to shorten URLs, track their usage statistics, and manage multiple shortened links efficiently. Here’s a detailed plan on how to proceed:

1. **Setup**: Start by installing the 'ailearnhub-net-site-kit' package using pip. Ensure your development environment is set up correctly for Python.
2. **Core Functionality**: Implement the main functionality of shortening URLs. Users should be able to input a long URL and receive a shorter version. Utilize the 'ailearnhub-net-site-kit' package to handle the URL transformation process seamlessly.
3. **Statistics Tracking**: Enhance the app by adding a feature to track the number of times each shortened URL has been accessed. This will require setting up a simple database to store the shortened URLs along with their access counts.
4. **User Management**: Allow users to create accounts and manage their shortened URLs from a dashboard. Features could include viewing usage stats, editing existing shortened URLs, and deleting them when no longer needed.
5. **Advanced Features**: Consider implementing advanced functionalities such as custom slug generation for shortened URLs, support for QR code generation for easy sharing, and integration with popular social media platforms for direct sharing.
6. **Security Measures**: Ensure the application is secure by implementing basic security measures like password hashing for user accounts and protection against common web vulnerabilities.
7. **Testing & Deployment**: Thoroughly test all aspects of the application to ensure reliability and usability. Once satisfied, deploy the application to a cloud platform of your choice.

This project aims to demonstrate proficiency in web development, Python programming, and the effective use of third-party packages to build practical applications. By completing this task, you'll not only gain valuable experience but also create a useful tool for managing and analyzing web traffic.

💬 Discussion Feed

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