AI Analysis
The package shows minimal risk indicators with no signs of malicious behavior. It is designed to interact with Azure services as expected.
- Low network risk
- No shell execution detected
- Minimal obfuscation
- No credential harvesting patterns
- Single package author
Per-check LLM notes
- Network: The use of managed_identity and requests.Session() is likely for authenticating with Azure services, which is expected for the azure-cli-core package.
- Shell: No shell execution patterns detected, indicating no immediate risk from shell command execution.
- Obfuscation: Base64 decoding is commonly used for data serialization and not necessarily indicative of malicious activity.
- Credentials: No patterns indicative of credential harvesting were detected.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities were flagged.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (212 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
10 type-annotated function signatures detected in source
Active multi-contributor project
53 unique contributor(s) across 100 commits in Azure/azure-cliActive community — 5 or more distinct contributors
Heuristic Checks
Found 1 network call pattern(s)
managed_identity, http_client=requests.Session()) def acquire_token(self, scopes, **kwargs): l
Found 2 obfuscation pattern(s)
: decoded_bytes = base64.b64decode(data) except base64.binascii.Error: rais------------------ __path__ = __import__("pkgutil").extend_path(__path__, __name__) # ------------------------
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com
All external links appear legitimate
Repository Azure/azure-cli appears legitimate
1 maintainer concern(s) found
Author "Microsoft Corporation" 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 command-line tool named 'AzureVMManager' that leverages the 'azure-cli-core' package to manage virtual machines on Microsoft Azure. This tool should allow users to perform basic operations such as starting, stopping, restarting, and deleting VMs, as well as listing all VMs within a specified resource group. Additionally, the application should support command-line arguments for specifying the subscription ID, resource group name, and VM name. Implement the following features: 1. **List VMs**: Display a list of all VMs within a given resource group. 2. **Start VM**: Start a specific VM by its name within a resource group. 3. **Stop VM**: Stop a specific VM by its name within a resource group. 4. **Restart VM**: Restart a specific VM by its name within a resource group. 5. **Delete VM**: Delete a specific VM by its name within a resource group. 6. **Command Line Arguments**: Use argparse or similar to handle input parameters like subscription ID, resource group name, and VM name. 7. **Error Handling**: Include robust error handling to gracefully manage exceptions and provide informative messages to the user. 8. **Logging**: Implement logging to track actions performed and errors encountered. 9. **Configuration File Support**: Allow users to specify default settings via a configuration file, such as the default subscription ID and resource group. The 'azure-cli-core' package will be used to interact with Azure services, authenticate requests, and execute commands against the Azure cloud. Ensure your application is well-documented and includes setup instructions for installing dependencies and configuring the environment.
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