acelery

v0.1.0 suspicious
7.0
High Risk

Asyncio plugin for Celery

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of typosquatting and incomplete metadata, raising concerns about its legitimacy. Additionally, the use of obfuscated code might indicate an attempt to hide malicious activities.

  • Typosquatting targeting 'celery'
  • Incomplete author profile
  • Presence of obfuscated code
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The presence of obfuscated code involving Redis and Lua scripting suggests potential for hiding malicious activities, but it could also be used for legitimate purposes like secure operations.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The package shows signs of typosquatting and has an incomplete author profile, indicating potential risk.
  • ⚠ Typosquatting target: celery

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • r], redis.eval( LUA_DEL_IF_OWNED,
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: celery

  • "acelery" is 1 edit(s) from "celery"
✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository omer9564/acelery appears legitimate

⚠ 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 acelery 
Create a fully functional asynchronous task queue management system using the 'acelery' package, which is an asyncio plugin for Celery. This system will serve as a robust backend for managing time-consuming tasks in a web application, such as image processing or data analysis, without blocking the main application thread. Here’s a detailed breakdown of what your project should include:

1. **Setup**: Begin by setting up a virtual environment and installing necessary packages including 'acelery', 'celery', 'redis' (as a message broker), and 'flask' (for creating a simple web interface).
2. **Task Definitions**: Define two types of asynchronous tasks within your Celery application: one for generating thumbnails from images and another for performing complex calculations (e.g., Fibonacci sequence generation). These tasks should leverage the 'acelery' package to ensure they run asynchronously.
3. **Web Interface**: Use Flask to create a basic web interface where users can upload images and request complex calculations. Implement endpoints for initiating these tasks, checking their status, and retrieving results once completed.
4. **Task Execution**: Ensure that when a user submits a task via the web interface, the task is queued and executed asynchronously. Users should be able to monitor the progress of their tasks through the web interface.
5. **Result Storage**: Store the results of the tasks in Redis for quick retrieval. Ensure that the web interface can display the results once they are available.
6. **Error Handling**: Implement proper error handling to manage cases where tasks fail. Results should indicate whether a task was successful or if it encountered an error.
7. **Documentation**: Provide clear documentation on how to set up the project locally, including instructions for running the Flask server and configuring Celery with Redis.
8. **Testing**: Write unit tests for your Flask application and integration tests for your Celery tasks to ensure everything works as expected.

This project will showcase the power of 'acelery' in managing asynchronous tasks efficiently, providing a scalable solution for handling background jobs in a web application.