aioscam

v0.1.6 safe
4.0
Medium Risk

Async framework for Max messenger bots (aiogram-style)

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with minimal risks identified. While there is a moderate metadata risk due to low repository activity and a single contributor, no direct evidence of malicious intent was found.

  • Low shell and obfuscation risks
  • No credential harvesting detected
  • Moderate metadata risk due to low activity and single contributor
Per-check LLM notes
  • Network: The use of aiohttp.ClientSession suggests the package is designed to make network requests, which is common for packages with 'aiosc' in their name implying asynchronous operations over a network.
  • Shell: No shell execution patterns were detected, indicating low risk of executing system commands without user consent.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The repository's low activity and single contributor suggest potential misuse.

📦 Package Quality Overall: Low (4.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/alex-di-96/aioscam#readme
  • Detailed PyPI description (7330 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 154 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 alex-di-96/aioscam
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • : self._session = aiohttp.ClientSession() self._close_session = True return self
✓ 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

No author email provided

✓ 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 2.0

1 maintainer concern(s) found

  • Author "AioScam Contributors" 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 aioscam 
Create a fully functional mini-app using the 'aioscam' package that serves as a personal assistant bot for the Max Messenger platform. This bot will provide users with essential functionalities such as scheduling reminders, sending predefined messages, and tracking daily activities. The app should be designed to be user-friendly, efficient, and capable of handling multiple user interactions simultaneously.

Step 1: Set up the environment
- Install Python and the required packages including 'aioscam'.
- Create a virtual environment for the project.

Step 2: Initialize the bot
- Use 'aioscam' to initialize the bot with your Max Messenger API credentials.
- Implement basic commands like /start and /help to guide users on how to interact with the bot.

Step 3: Develop reminder functionality
- Allow users to set up custom reminders through chat commands.
- Store these reminders in a database and send notifications at the specified times.

Step 4: Integrate message sending feature
- Enable users to save frequently sent messages and send them with a simple command.
- Ensure messages can be personalized based on the recipient.

Step 5: Track daily activities
- Provide users with a way to log their daily activities through the bot.
- Offer insights into productivity levels based on logged data.

Suggested Features:
- User authentication for personal data security.
- Integration with external calendars for better scheduling.
- Voice note support for hands-free usage.
- Customizable greetings and goodbyes based on time of day.

How 'aioscam' is Utilized:
- 'aioscam' is used to handle asynchronous operations efficiently, ensuring smooth user experience even during peak times.
- It provides a structured approach to building bots similar to aiogram, making it easier to implement complex functionalities without sacrificing performance.