azure-mgmt-imagebuilder

v2.0.0 safe
3.0
Low Risk

Microsoft Azure Imagebuilder Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories, with only minor concerns about metadata and obfuscation which are not indicative of malicious behavior.

  • Low network and shell execution risks
  • No evidence of credential harvesting
  • Observed obfuscation is benign
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages that do not require online services.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The observed patterns are likely related to base64 decoding for deserialization purposes and not indicative of malicious obfuscation.
  • Credentials: No suspicious patterns indicating credential harvesting were found.
  • Metadata: The maintainer's author information is incomplete, suggesting a potentially less experienced or less reputable maintainer.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Detailed PyPI description (9613 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 316 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)

  • return attr return bytes(base64.b64decode(attr)) def _deserialize_bytes_base64(attr): if isinsta
  • ce("_", "/") return bytes(base64.b64decode(encoded)) def _deserialize_duration(attr): if isinstan
  • __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-imagebuilder 
Develop a Python-based utility named 'AzureImageBuilderManager' that leverages the 'azure-mgmt-imagebuilder' package to streamline the creation and management of custom images in Azure. This utility will enable users to automate the process of building, updating, and distributing images across their Azure environments. Here’s a detailed breakdown of the application's requirements and features:

1. **User Authentication**: Implement Azure Active Directory (AAD) authentication to securely connect to Azure services. Ensure that users can authenticate via service principal credentials or user account credentials.
2. **Image Creation**: Provide functionality to create custom images from various sources such as generalized virtual machines, managed disks, or VHD files stored in Azure Storage.
3. **Image Updates**: Allow users to update existing images with new configurations or software installations. This feature should support automated updates based on scheduled tasks or manual triggers.
4. **Image Distribution**: Enable the distribution of images to different regions within Azure, ensuring high availability and optimized performance.
5. **Image Versioning**: Implement version control for images, allowing users to track changes and roll back to previous versions if necessary.
6. **Logging and Monitoring**: Integrate logging and monitoring capabilities to track the status of image operations and provide real-time alerts for any issues.
7. **Documentation and Help**: Include comprehensive documentation and help commands to guide users through the setup and usage of the utility.

To achieve these goals, you will utilize key functionalities provided by the 'azure-mgmt-imagebuilder' package, such as creating and managing image templates, configuring image builds, and handling image distribution tasks. Additionally, explore the integration of other Azure SDKs like 'azure-mgmt-compute' for enhanced management capabilities.

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