asterisk-task

v2.2.0.1226.1518 suspicious
6.0
Medium Risk

Task management system.

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package exhibits concerning patterns such as potential network risks and obfuscation techniques, indicating it may communicate with external servers and hide its true functionality. However, there's no strong evidence of malicious intent.

  • network risk
  • code obfuscation
Per-check LLM notes
  • Network: The detected network call patterns suggest the package might be communicating with an external server, which could potentially be for legitimate purposes but also raises concerns about data exfiltration or command and control (C2) activities.
  • Shell: The shell execution patterns indicate that the package can execute commands on the operating system level, which is unusual and may pose a risk if not properly controlled, suggesting potential for unauthorized access or actions.
  • Obfuscation: The code appears to be using obfuscation techniques that may hide the actual import of a task module, which could be used for malicious purposes.
  • Credentials: No clear signs of credential harvesting were detected in the provided snippet.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other suspicious activities are observed.

πŸ“¦ Package Quality Overall: Low (2.8/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1350 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 33 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • r = requests.post(api_url,data=connect_data, \ headers={'C
  • erry]}&' r = requests.get(api_url,data=connect_data,\ headers={'Co
  • =='put'): r = requests.put(api_url,data=connect_data) elif
  • delete'): r = requests.delete(api_url,data=connect_data) # δ»₯上me
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • g['task_module']) __import__(AppConfig['task_module']) tasks = inspect.getmembers(sys.modules[AppConfi
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • case 'win32': subprocess.run(['cls'],text=True,capture_output=False) case 'li
  • case 'linux': subprocess.run(['clear'],text=True,capture_output=False) case '
  • ase 'darwin': subprocess.run(['clear'],text=True,capture_output=False) iprint('任劑
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: 163.com

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Shan,Tian" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with asterisk-task 
Create a task management application called 'TaskMaster' using the Python package 'asterisk-task'. This application will serve as a robust tool for managing personal or team tasks efficiently. Here’s a detailed breakdown of what your application should achieve:

1. **User Authentication**: Implement user registration and login functionalities. Users should be able to create accounts and log in securely.
2. **Task Creation**: Users should be able to create tasks with titles, descriptions, due dates, and priority levels.
3. **Task Management**: Allow users to edit, delete, and mark tasks as completed. Additionally, provide filters to view tasks based on their status (e.g., pending, completed).
4. **Priority System**: Tasks should have different priority levels (low, medium, high). Users should be able to set these priorities when creating or editing tasks.
5. **Due Dates**: Tasks should have a due date. The application should alert users if a task is approaching its due date.
6. **User Interface**: Develop a simple yet intuitive web interface using HTML/CSS/JavaScript for front-end development. Ensure the design is responsive.
7. **Data Persistence**: Use SQLite as the database to store user information and tasks persistently.

### Utilizing 'asterisk-task'
- **Task Creation & Management**: Leverage the 'asterisk-task' package to handle the creation, deletion, and updating of tasks. This includes setting up the necessary models and controllers within the package.
- **Priority Levels & Due Dates**: Integrate the priority level and due date functionalities provided by 'asterisk-task' into your application’s task management system.
- **Authentication**: Although 'asterisk-task' does not directly manage authentication, you can use it alongside Flask-Security or a similar package to ensure secure user management.
- **Alerts**: Implement notifications for approaching due dates by utilizing 'asterisk-task' scheduling capabilities or integrating with external libraries like Celery for background tasks.

Your goal is to build a fully functional, user-friendly task management application that showcases the capabilities of the 'asterisk-task' package while providing practical value to users.

πŸ’¬ Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!