AI Analysis
The package is in preview and lacks detailed maintainer information, raising some suspicion. However, there are no clear signs of malicious activity.
- Package is in preview stage
- Lack of detailed maintainer information
Per-check LLM notes
- Network: No network calls detected, which is not unusual and doesn't indicate risk.
- Shell: Shell execution to retrieve Azure account information suggests interaction with Azure CLI but does not necessarily imply malicious intent.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package appears to be new and lacks detailed maintainer information, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (3447 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
248 type-annotated function signatures detected in source
Active multi-contributor project
19 unique contributor(s) across 100 commits in microsoft/azure-container-appsActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
t subprocess result = subprocess.run( ["az", "account", "show", "--query", "id", "-o"
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com>
All external links appear legitimate
Repository microsoft/azure-container-apps appears legitimate
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 mini-application named 'ContainerAppManager' using the Azure Container Apps Sandbox SDK for Python. This tool will serve as a simplified interface for managing sandbox groups within Azure Container Apps. The application should allow users to create, delete, list, and update sandbox groups, providing a straightforward way to manage their containerized applications. The core functionalities of the application include: 1. **Creating Sandbox Groups:** Users should be able to specify the name of the sandbox group, resource group, location, and any additional parameters required to create a new sandbox group. 2. **Listing Sandbox Groups:** Display all the sandbox groups associated with the user's account in a clear, organized format. Include options to filter or sort the list based on criteria such as creation date or status. 3. **Deleting Sandbox Groups:** Provide a secure method for deleting sandbox groups, ensuring that users confirm the action before proceeding. Implement a feature to check if a sandbox group is currently being used by any container apps before allowing its deletion. 4. **Updating Sandbox Groups:** Allow users to modify properties of existing sandbox groups, such as renaming them or changing their location. Ensure that updates are applied without disrupting ongoing operations. 5. **Status Check:** Implement a real-time status checker that provides information about the current state of each sandbox group, including whether it's active, paused, or undergoing maintenance. To achieve these functionalities, you will need to utilize the 'azure-containerapps-sandbox' package extensively. Start by setting up the necessary authentication and authorization mechanisms to connect to Azure services. Then, implement the core features mentioned above, making sure to handle errors gracefully and provide informative feedback to the user at every step. Additionally, consider adding logging capabilities to track actions performed by the application, which could be useful for auditing purposes or troubleshooting issues.
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