aiofastnet

v0.9.0 safe
3.0
Low Risk

Fast transport/protocol networking for asyncio

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all assessed categories with no evidence of malicious intent or activity. The primary concern lies in the incomplete metadata, which slightly increases suspicion about the maintainer's identity and activity level.

  • Low network, shell, obfuscation, and credential risks.
  • Incomplete author information and potential inactivity of the maintainer.
Per-check LLM notes
  • Network: Establishing a connection to localhost suggests internal communication rather than data exfiltration or C2 activities.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer seems to be new or inactive, raising some concerns but not strong indicators of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 6 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aiofastnet.readthedocs.io/en/latest
  • Detailed PyPI description (16582 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 41 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in tarasko/aiofastnet
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • _client(): raw_sock = socket.create_connection(("127.0.0.1", server.port)) try: ssl_soc
✓ 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

Repository tarasko/aiofastnet 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 aiofastnet 
Create a real-time chat application using Python's aiofastnet package. This application will enable users to connect to a server, send messages to all connected clients simultaneously, and receive messages from other users in real-time. Here’s a detailed breakdown of the project requirements and steps:

1. **Setup Environment**: Begin by setting up your Python environment and installing the necessary packages, including aiofastnet and any other required libraries such as aiohttp for handling HTTP requests if needed.

2. **Server Implementation**: Implement a server using aiofastnet that listens on a specific port for incoming connections. The server should be able to handle multiple simultaneous connections efficiently.

3. **Client Connection Management**: Develop a client module that allows users to connect to the server. Ensure that each client can maintain a stable connection and re-establish it if lost.

4. **Real-Time Messaging**: Utilize aiofastnet's capabilities to broadcast messages from one client to all others connected to the server in real-time. Each message should include a timestamp and the username of the sender.

5. **User Authentication**: Implement a simple authentication mechanism where users can log in with a username and password. Use hashed passwords for security.

6. **Persistent Chat History**: Optionally, implement a feature that stores recent chat history in a database so that new users can see the last few messages upon joining.

7. **Error Handling and Logging**: Ensure robust error handling and logging mechanisms are in place to monitor and report issues effectively.

8. **Testing and Deployment**: Finally, thoroughly test the application to ensure reliability and performance. Consider deploying the application on a cloud service like AWS or Heroku for wider access.

Throughout the development process, focus on leveraging aiofastnet's asynchronous capabilities to optimize network operations and enhance the overall user experience.