azure-mgmt-hdinsight

v9.0.1 safe
4.0
Medium Risk

Microsoft Azure Hdinsight Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package azure-mgmt-hdinsight v9.0.1 appears to be safe based on the low scores for network and shell risks, as well as no evidence of credential harvesting or malicious obfuscation. However, the incomplete author metadata slightly increases the risk score.

  • Low network and shell execution risks
  • No signs of credential harvesting
  • Incomplete author metadata
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a management SDK.
  • Shell: No shell execution suggests there is no immediate risk of command injection.
  • Obfuscation: The observed pattern is likely for extending the module search path and not indicative of malicious obfuscation.
  • Credentials: No patterns indicating credential harvesting were detected.
  • Metadata: The author's details are incomplete, suggesting a potentially less reputable source.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

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

Some documentation present

  • Detailed PyPI description (15088 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
  • 271 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 4.0

Found 2 obfuscation pattern(s)

  • __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-hdinsight 
Create a Python-based command-line utility named 'AzureHDIManager' that leverages the 'azure-mgmt-hdinsight' package to manage HDInsight clusters within your Azure environment. This utility will allow users to perform various operations such as creating, deleting, listing, and configuring HDInsight clusters. Additionally, it should support querying cluster details, such as node configurations and statuses, as well as managing storage accounts associated with these clusters.

### Key Features:
1. **Cluster Creation**: Users should be able to specify parameters like cluster name, type (Hadoop, Spark, etc.), version, and storage account information to create a new HDInsight cluster.
2. **Cluster Deletion**: Implement functionality to delete an existing HDInsight cluster by specifying its name.
3. **Cluster Listing**: Display a list of all HDInsight clusters within the user's subscription.
4. **Configuration Management**: Allow users to modify configurations of an existing cluster, such as adding or removing nodes.
5. **Status Querying**: Provide options to query the current status and detailed configuration of a specific cluster.
6. **Storage Account Management**: Enable users to attach or detach storage accounts from their HDInsight clusters.

### Implementation Steps:
1. Set up your development environment with Python and install necessary packages including 'azure-mgmt-hdinsight', 'azure-common', and 'azure-identity'.
2. Authenticate users using Azure Active Directory (AAD) credentials.
3. Design a simple yet intuitive command-line interface for interacting with the utility.
4. Implement each feature as described above, utilizing methods provided by the 'azure-mgmt-hdinsight' library.
5. Ensure error handling and logging are properly implemented to enhance usability and debugging.
6. Test each function thoroughly to ensure reliability and accuracy of the operations performed.
7. Document the usage of the utility along with any prerequisites and limitations.

By completing this project, you'll gain valuable experience in working with cloud services through APIs, specifically Azure HDInsight management via Python.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!