azure-mgmt-appcontainers

v4.0.0 suspicious
6.0
Medium Risk

Microsoft Azure Appcontainers Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is flagged due to the high obfuscation risk from the use of eval() with unsanitized input, which could be exploited for arbitrary code execution. Despite having low risks in other categories, this finding warrants caution.

  • High obfuscation risk due to eval() usage
  • Minor metadata inconsistencies
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring real-time data exchange.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: Use of eval() with unsanitized input poses a significant security risk as it can execute arbitrary code.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: The package shows some minor red flags with the maintainer's author details but no clear signs of malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

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

Some documentation present

  • Detailed PyPI description (60110 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

  • 244 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

  • _unicode(data) return eval(data_type)(data) # nosec # pylint: disable=eval-used @
  • _unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @
  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =
  • ) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
✓ 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: microsoft.com> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python 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 azure-mgmt-appcontainers 
Create a Python-based utility called 'AzureAppContainerManager' that leverages the 'azure-mgmt-appcontainers' library to manage Azure App Containers. This tool will allow users to perform several actions including creating, listing, updating, and deleting app containers within their Azure subscription. Additionally, the utility should provide functionalities such as starting, stopping, and retrieving status of app containers. The application should also include a feature to monitor the health and performance metrics of the app containers over time.

The application should have a command-line interface (CLI) for ease of use and integration into automation scripts. It should support authentication using Azure CLI credentials or Service Principal credentials.

Step-by-Step Guide:
1. Set up the project structure with appropriate directories for source code, configuration files, and documentation.
2. Install the required dependencies, primarily focusing on the 'azure-mgmt-appcontainers' package.
3. Implement the CLI functionality using a framework like argparse for handling user inputs and commands.
4. Develop functions to interact with Azure App Containers using the 'azure-mgmt-appcontainers' SDK. These functions should cover operations like create, list, update, delete, start, stop, and get status.
5. Integrate monitoring capabilities to periodically fetch and display health and performance metrics of the app containers.
6. Ensure error handling and logging are implemented to improve reliability and debugging.
7. Document the usage of the utility thoroughly, including setup instructions, command examples, and expected outputs.
8. Test the utility with various scenarios to ensure it behaves as expected under different conditions.
9. Deploy the utility as a standalone executable or containerized application for wider distribution.

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