axio-tools-docker

v0.9.7 suspicious
5.0
Medium Risk

Docker sandbox tools for Axio

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its potential credential harvesting behavior and poor metadata quality, which raises concerns about its legitimacy and purpose.

  • Potential credential harvesting through /etc/hosts file inspection
  • Low maintainer engagement and poor metadata quality
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 no immediate signs of executing system commands.
  • Obfuscation: The obfuscation pattern seems to be generating random volume names using UUIDs, which is a common practice for avoiding naming conflicts rather than malicious intent.
  • Credentials: The code snippet suggests reading from /etc/hosts and checking for specific entries, indicating potential harvesting of hostnames or IP addresses, which could be a sign of credential or secret harvesting.
  • Metadata: The package shows low maintainer engagement and poor metadata quality, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.axio-agent.com
  • Detailed PyPI description (9551 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

  • 61 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in mosquito/axio-agent
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • vol_name = f"axio-test-vol-{__import__('uuid').uuid4().hex[:8]}" try: async with DockerSandbox
  • vol_name = f"axio-test-vol-{__import__('uuid').uuid4().hex[:8]}" async with DockerSandbox( doc
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • extra_hosts: Additional ``/etc/hosts`` entries as ``{hostname: ip}``, e.g. ``{"h
  • await sb.exec("grep myservice /etc/hosts") assert "myservice" in result assert "127.0.0.1" i
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mosquito/axio-agent 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 axio-tools-docker 
Create a mini-application called 'DockerQuickSandbox' using the Python package 'axio-tools-docker'. This application should streamline the process of setting up and managing Docker containers for quick prototyping and testing of software applications. The app should allow users to easily spin up a container with pre-configured development environments, run commands inside the container, and shut down the container when done. Additionally, it should provide features like logging, container status checks, and support for multiple container configurations stored as profiles.

Steps to develop the application:
1. Set up a basic command-line interface (CLI) using Python.
2. Integrate 'axio-tools-docker' to handle Docker container management tasks such as starting, stopping, and executing commands within containers.
3. Implement a feature to load and manage different container profiles (e.g., Python dev environment, Node.js dev environment).
4. Add functionality to log output from commands executed inside the container.
5. Include a command to check the current status of running containers.
6. Ensure the application can handle errors gracefully and provide useful feedback to the user.
7. Test the application thoroughly with various scenarios.
8. Document the installation and usage of the application clearly.

The 'axio-tools-docker' package will be used extensively to abstract away the complexities of Docker API interactions and to provide a higher-level interface for managing Docker containers efficiently.

💬 Discussion Feed

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