aiodocker

v0.27.0 suspicious
6.0
Medium Risk

A simple Docker HTTP API wrapper written with asyncio and aiohttp.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to incomplete metadata and direct shell execution, though there's no clear indication of malicious intent.

  • Missing author information
  • Lack of a GitHub repository
Per-check LLM notes
  • Network: Network calls are typical for a Docker client library, facilitating interaction with Docker API.
  • Shell: Shell execution patterns indicate the package manages Docker containers directly, which could pose risks if not properly controlled.
  • Metadata: The package has some red flags such as missing author information and a lack of a GitHub repository, but no concrete evidence of malice or typosquatting is present.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 21 test file(s) found

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

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3464 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

  • 268 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • s None: session = aiohttp.ClientSession( connector=self.connector, t
  • onnector() user_session = aiohttp.ClientSession(connector=connector) try: docker = Docker(sessio
  • onnector() user_session = aiohttp.ClientSession(connector=user_connector) try: docker = Docker(c
  • raise.""" user_session = aiohttp.ClientSession(connector=aiohttp.TCPConnector()) try: docker =
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • h.decode("utf-8") s = base64.b64decode(auth) username, passwd = s.split(b":", 1) co
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • Start the DinD container subprocess.run( ["docker", "compose", "-f", str(compose_file), "-p"
  • the container ID result = subprocess.run( [ "docker", "compose",
  • n range(30): result = subprocess.run( ["docker", "exec", container_id, "docker", "inf
  • # Cleanup on failure subprocess.run( [ "docker", "co
  • the DinD daemon result = subprocess.run( ["docker", "port", container_id, "2375"], c
  • container and volumes subprocess.run( [ "docker", "co
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 aiodocker 
Create a Python-based Docker container management utility called 'DockerMate'. This tool will leverage the 'aiodocker' package to provide an asynchronous interface for managing Docker containers on a local machine or remote server. The application should allow users to perform basic operations such as listing all running containers, starting and stopping containers, and removing containers. Additionally, it should support more advanced functionalities like pulling images from Docker Hub, inspecting container details, and executing commands inside running containers.

The application should consist of a command-line interface (CLI) where users can interact with DockerMate using various commands. Each command should be clearly documented and easy to use.

Steps to complete the project:
1. Set up a Python environment with necessary dependencies including 'aiodocker', 'aiohttp', and 'click' for CLI.
2. Design the main structure of the application, ensuring it supports both synchronous and asynchronous operations due to the nature of 'aiodocker'.
3. Implement functions for listing, starting, stopping, and removing containers using 'aiodocker'. These functions should handle errors gracefully and provide meaningful feedback to the user.
4. Add functionality to pull Docker images from Docker Hub. Ensure that the application can handle different image names and tags.
5. Create an inspection feature that allows users to view detailed information about a specific container.
6. Develop a command execution feature that enables users to run shell commands within a specified container.
7. Test each feature thoroughly to ensure reliability and efficiency.
8. Document the codebase and create a README file detailing how to install and use DockerMate.

Suggested features for enhancing the application include:
- Support for remote Docker servers through SSH tunneling.
- Integration with Docker Compose files for managing multi-container applications.
- Automatic restart of failed containers.
- Logging and monitoring capabilities for container status changes.
- User authentication and role-based access control for multi-user environments.

💬 Discussion Feed

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