approck-aiogram-utils

v0.2.24 suspicious
6.0
Medium Risk

Utilities for aiogram bots: Approck messaging helpers, callbacks, and optional FastStream/Uprock integration.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows high metadata risk due to suspicious git repository activity and maintainer history, raising concerns about potential supply-chain attacks despite other low-risk indicators.

  • High metadata risk
  • No direct security risks identified in code
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 risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: High risk due to suspicious git repository activity and maintainer history.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9266 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 18 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in adalekin/approck-aiogram-utils
  • 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: gmail.com>

✓ 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 4.0

2 maintainer concern(s) found

  • 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 approck-aiogram-utils 
Create a Telegram bot using Python that leverages the 'approck-aiogram-utils' package to provide advanced messaging capabilities and user interactions. Your task is to design and implement a bot named 'BookBuddy', which serves as a personal library management system. Users can add books they own, remove books from their collection, list all books they have, and receive recommendations based on their current collection. Additionally, the bot should integrate FastAPI to allow users to access their book collections via a REST API. Here are the steps and features you need to implement:

1. **Setup**: Install the necessary packages including aiogram and approck-aiogram-utils. Set up your bot with a Telegram Bot Token.
2. **User Registration**: Implement a registration process where users can sign up and log in to their account. Use the approck-aiogram-utils package to handle secure and efficient user communication.
3. **Adding Books**: Allow users to add books to their collection by providing details such as title, author, and publication year. Utilize approck-aiogram-utils to create interactive message handlers for adding books.
4. **Removing Books**: Enable users to remove books from their collection. Ensure the process is user-friendly and integrated seamlessly with the messaging utilities provided by approck-aiogram-utils.
5. **Listing Books**: Provide a feature for users to view their entire collection of books. Format the output neatly and use approck-aiogram-utils to enhance the readability and interactivity of the messages.
6. **Recommendations**: Integrate a recommendation engine that suggests new books based on the genres and authors of books already in the user's collection. Use approck-aiogram-utils to present these recommendations in an engaging way.
7. **FastAPI Integration**: Develop a REST API using FastAPI that allows users to interact with their book collection remotely. This API should support CRUD operations and leverage the approck-aiogram-utils package for any required backend functionalities.
8. **Testing**: Thoroughly test all functionalities to ensure reliability and efficiency. Pay special attention to the integration between the Telegram bot and the REST API.
9. **Documentation**: Write comprehensive documentation detailing how to set up the bot, use its features, and interact with the REST API. Highlight the unique advantages of using approck-aiogram-utils throughout the documentation.

This project will not only serve as a useful tool for managing personal libraries but also demonstrate the power and flexibility of the approck-aiogram-utils package.

💬 Discussion Feed

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