azure-mgmt-discovery

v1.0.0b1 suspicious
5.0
Medium Risk

Microsoft Azure Discovery Management Client Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, and credential handling activities. However, its newness and lack of maintainer information raise concerns about its legitimacy.

  • New package with limited maintainer information
  • Moderate obfuscation risk potentially unrelated to malicious activity
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a management package.
  • Shell: No shell execution patterns detected, aligning with the expected behavior of a typical library.
  • Obfuscation: The observed patterns likely represent base64 decoding for deserialization purposes rather than malicious obfuscation.
  • Credentials: No clear evidence of credential harvesting patterns.
  • Metadata: The package appears suspicious due to its newness and lack of maintainer information, but there's no concrete evidence of malice.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 16 test file(s) found

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

Some documentation present

  • Detailed PyPI description (2098 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

  • 201 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 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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-discovery 
Create a Python-based utility named 'AzureResourceMapper' that leverages the 'azure-mgmt-discovery' package to map out the resources within an Azure subscription. This utility will provide developers and DevOps engineers with a clear visualization of their Azure environment, including virtual machines, storage accounts, and other key resources. The tool should be designed to run on a local machine or as part of an automated pipeline, allowing users to easily identify resource interdependencies and optimize their cloud architecture.

Step-by-Step Application Requirements:
1. User Authentication: Implement Azure Active Directory (AAD) authentication using OAuth2 to securely access Azure services. Ensure that the application guides users through obtaining the necessary credentials and tokens.
2. Resource Discovery: Utilize the 'azure-mgmt-discovery' package to discover and retrieve details about various Azure resources under the user's subscription. Focus on collecting essential metadata such as resource type, location, tags, and any associated network configurations.
3. Visualization: Develop a feature to visualize the discovered resources in a structured format. Consider implementing a simple command-line interface (CLI) output or a more advanced graphical representation using libraries like matplotlib or networkx.
4. Dependency Mapping: Analyze the retrieved data to map out dependencies between different resources. For example, identify which VMs are connected to specific storage accounts or if there are any network security groups (NSGs) restricting traffic between resources.
5. Reporting: Provide the ability to generate detailed reports summarizing the resource discovery and dependency mapping. Reports could be exported in formats like JSON or CSV for further analysis or documentation purposes.
6. Customization: Allow users to filter and focus on specific types of resources or regions within their Azure environment. This flexibility will help tailor the utility to meet the unique needs of different organizations or projects.

Features:
- Secure authentication via Azure AD
- Comprehensive resource discovery across multiple resource types
- Interactive visualization of resource topology
- Automated detection and reporting of resource dependencies
- Exportable reports for compliance and planning
- Flexible configuration options for targeted resource analysis

Utilization of 'azure-mgmt-discovery':
This package plays a crucial role in automating the process of discovering Azure resources. By integrating it into 'AzureResourceMapper', you'll be able to programmatically fetch information about resources without manual intervention. The package simplifies interactions with Azure's Discovery service, enabling efficient collection of metadata that can then be processed and presented to the user in meaningful ways.

💬 Discussion Feed

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