azure-mgmt-containerservice

v41.3.0 suspicious
5.0
Medium Risk

Microsoft Azure Containerservice Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potentially handling sensitive information due to mentions of '.KEYDATA' and SSH keys, raising concerns about credential handling. However, it lacks transparency regarding authorship.

  • Potential handling of sensitive credentials
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a management package that might require it.
  • Shell: No shell execution patterns detected, which aligns with expectations for a standard Python package.
  • Obfuscation: The observed patterns suggest base64 decoding which is commonly used for data serialization and not necessarily indicative of malicious activity.
  • Credentials: The mention of '.KEYDATA' and references to ssh keys and container services could indicate potential handling of sensitive information, raising suspicion about possible credential harvesting.
  • Metadata: The author information is incomplete, suggesting potential lack of transparency.

📦 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 (137018 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
  • 96 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 score 2.5

Found 1 credential access pattern(s)

  • .KEYDATA # git bash use 'cat ~/.ssh/id_rsa.pub' # # # /ContainerServices/put/Create/Update
✓ 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-containerservice 
Your task is to create a Python-based command-line tool that manages Azure Kubernetes Service (AKS) clusters using the 'azure-mgmt-containerservice' package. This tool will enable users to perform common operations such as creating, listing, updating, and deleting AKS clusters. Additionally, it should allow users to scale node pools within their AKS clusters and retrieve cluster details.

The application should have the following core functionalities:
1. **Cluster Creation**: Allow users to specify the name, resource group, location, and other necessary parameters to create an AKS cluster.
2. **Cluster Listing**: Display all AKS clusters under a specified subscription or resource group.
3. **Cluster Deletion**: Provide functionality to delete a specific AKS cluster based on user input.
4. **Node Pool Scaling**: Enable users to scale out or scale in the nodes of a particular node pool in an AKS cluster.
5. **Cluster Details**: Fetch and display detailed information about a given AKS cluster including its current state, node pools, and configuration settings.
6. **Interactive Help**: Include comprehensive help documentation and examples for each command available in the tool.

To achieve these functionalities, you'll need to utilize the 'azure-mgmt-containerservice' package, which provides client libraries for managing Azure Container Service resources. Your application should authenticate with Azure using a service principal or managed identity, allowing seamless interaction with Azure services.

This project aims to streamline the management of AKS clusters, making it easier for developers and DevOps engineers to maintain their Kubernetes environments directly from the command line.

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