AI Analysis
The package shows low risks across all categories, with only metadata indicating some uncertainty due to incomplete author information and a single package maintained. However, there's no strong evidence of malicious activity.
- Low network and shell risk
- Potential obfuscation but within normal bounds
- No credential harvesting attempts detected
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without further context.
- Shell: No shell execution patterns detected, aligning with the expected behavior for a legitimate package.
- Obfuscation: The observed pattern is likely a standard technique for extending module search paths and not indicative of malicious activity.
- Credentials: No suspicious patterns for credential harvesting were identified.
- Metadata: The author information is incomplete and the maintainer has a single package, which could indicate a less established or potentially suspicious account.
Package Quality Overall: Medium (7.0/10)
Test suite present — 39 test file(s) found
Test runner config found: conftest.py39 test file(s) detected (e.g. _aio_testcase.py)
Some documentation present
Detailed PyPI description (97465 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project23 type-annotated function signatures detected in source
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
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
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com> license-expression: mit
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based network management tool named 'AzureNetManager' using the 'azure-mgmt-network' package. This tool will serve as a simple yet powerful interface for managing virtual networks, subnets, and network interfaces in Azure. Your task is to develop a command-line application that allows users to perform the following operations: 1. List all available virtual networks within a specified subscription. 2. Create a new virtual network with user-defined name, address space, and resource group. 3. Delete an existing virtual network by specifying its name. 4. List all subnets within a given virtual network. 5. Create a subnet within a specific virtual network. 6. Delete a subnet from a specified virtual network. 7. List all network interfaces associated with a particular virtual network. 8. Create a network interface with a public IP address. 9. Delete a network interface by providing its ID. For each operation, ensure that the tool validates input parameters and handles errors gracefully. Additionally, include a feature to authenticate users via Azure CLI or Azure Managed Service Identity for seamless integration with Azure services. The 'azure-mgmt-network' package will be crucial in implementing these functionalities, allowing you to interact with Azure's networking resources programmatically. Use the package's classes and methods to construct, modify, and delete network components. Remember to organize your code into reusable functions and classes for better maintainability and scalability.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue