aiopquic

v0.3.5 safe
4.0
Medium Risk

High-performance QUIC/HTTP3 library — picoquic-backed, qh3-compatible asyncio API

🤖 AI Analysis

Final verdict: SAFE

The package appears to serve a legitimate purpose with no clear signs of malicious behavior. However, some caution is advised due to potential obfuscation techniques and lower maintainer activity.

  • No network or shell risks identified
  • Potential obfuscation techniques present
  • Low maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is normal.
  • Shell: Shell execution is used for legitimate purposes like checking package prefixes and executing git commands, but requires caution to ensure it's not misused.
  • Obfuscation: The observed patterns suggest possible obfuscation techniques, but without context, it's hard to determine if they're malicious.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The package shows signs of low maintainer activity and metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 40 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 40 test file(s) detected (e.g. _helpers.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (15539 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 82 commits in gmarzot/aiopquic
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • gs.alpn], verify_mode=__import__("ssl").CERT_NONE if args.insecure else None, max_stream_da
  • LPN], verify_mode=__import__("ssl").CERT_NONE, ) crc_sent = 0 bytes_se
⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • try: prefix = subprocess.check_output( ["brew", "--prefix", pkg], text=True
  • try: return subprocess.check_output( ["git", "-C", path] + args,
  • , stderr_to=None): return subprocess.Popen( [sys.executable, PEER] + args, stdout=subpr
  • --htdocs PATH.""" return subprocess.Popen( [NGTCP2_SERVER, "127.0.0.1", str(port), ke
  • arallel), "-q", ] p = subprocess.run(args, capture_output=True, text=True, timeout=timeout) r
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: marzresearch.net>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository gmarzot/aiopquic appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiopquic 
Create a fully-functional mini-application that serves as a simple HTTP/3 client using the 'aiopquic' Python package. This application should demonstrate the core functionalities of the aiopquic package, which is a high-performance QUIC/HTTP3 library based on picoquic and compatible with asyncio. Your task is to develop a command-line tool that allows users to make GET requests to any HTTP/3 enabled server and display the response content.

### Features:
1. **User Input:** The application should accept user input for the URL to fetch from an HTTP/3 server.
2. **Request Handling:** Utilize the aiopquic package to establish a connection to the specified server and send a GET request.
3. **Response Display:** Upon receiving the response, the application should print out the content to the console.
4. **Error Handling:** Implement error handling to manage cases where the connection fails or the requested resource does not exist.
5. **Logging:** Include logging capabilities to record the start and end of each request, along with any errors encountered.
6. **Asynchronous Execution:** Ensure the application is asynchronous to take full advantage of aiopquic's asyncio compatibility.

### Steps to Build the Application:
1. **Set Up Environment:** Begin by setting up your development environment. Install Python and the necessary packages including aiopquic.
2. **Project Structure:** Organize your project into directories for better management. For example, create a src directory for source code and a tests directory for unit tests.
3. **Main Functionality Implementation:** In the main file of your project, implement the core functionality using aiopquic. This includes establishing a connection, sending a GET request, and processing the response.
4. **Command Line Interface (CLI):** Develop a CLI interface allowing users to specify the URL they wish to fetch from an HTTP/3 server.
5. **Testing:** Write unit tests to ensure your application works as expected under various conditions.
6. **Documentation:** Provide documentation on how to install and run the application, including any dependencies and usage instructions.
7. **Deployment:** Package your application for deployment, ensuring it can be easily installed and run by other users.

### Utilizing aiopquic:
- Use aiopquic to initiate a QUIC connection to the target server.
- Send a GET request over this connection.
- Handle the incoming response asynchronously and decode it if necessary.
- Close the connection properly after the request has been processed.

This project will showcase your ability to work with modern networking libraries and asynchronous programming in Python.

💬 Discussion Feed

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