AI Analysis
The package exhibits moderate risks due to its network interactions and shell command execution, particularly concerning its interactions with Azure services. However, no direct evidence of malicious activity or credential theft is present.
- High network risk due to calls to PowerBI API
- Shell command execution potentially managing Azure resources
Per-check LLM notes
- Network: The network call to PowerBI API suggests the package might be attempting to interact with Azure services, which is unusual and may indicate unauthorized data transfer.
- Shell: Executing 'az' commands directly implies interaction with Azure CLI, potentially managing resources. This could be legitimate but also raises concerns about unauthorized operations.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found and the maintainer has limited history, suggesting potential risk.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2676 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
97 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 2 network call pattern(s)
equest req = urllib.request.Request( "https://api.powerbi.com/v1.0/myorg/cap) with urllib.request.urlopen(req, timeout=30) as response: data = jso
No obfuscation patterns detected
Found 4 shell execution pattern(s)
try: result = subprocess.run( ["az", "monitor", "log-analytics", "workspaand result = subprocess.run( command, shell=False, cn" ] result = subprocess.run( cmd, capture_output=True, text=True, timeout=60v" ] result = subprocess.run( cmd, capture_output=True, text=True, timeout=60
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Siddhant Jha" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a Python-based mini-application named 'AzureOrchestrator' that leverages the 'azplex' package to streamline the deployment and management of resources across Azure, Microsoft Fabric, and Azure DevOps. This application will serve as a simplified interface for users to interact with these services, enabling them to easily deploy, manage, and orchestrate their resources. **Application Features:** 1. **Resource Deployment:** Users should be able to define resource configurations through a YAML file and use 'AzureOrchestrator' to deploy these resources to Azure, Microsoft Fabric, and Azure DevOps. 2. **Resource Management:** Implement functionality within 'AzureOrchestrator' to allow users to start, stop, scale, and delete resources across the supported platforms. 3. **Orchestration:** Enable users to create workflows that automate the deployment and management of resources. These workflows could include sequences such as deploying a VM, configuring network settings, and then setting up a continuous integration/continuous deployment (CI/CD) pipeline in Azure DevOps. 4. **Monitoring & Logging:** Integrate monitoring and logging capabilities into 'AzureOrchestrator' so that users can track the status of their deployments and manage logs from various resources. 5. **User Interface:** Develop a simple command-line interface (CLI) for 'AzureOrchestrator' that allows users to interact with the application using commands and arguments. **Utilization of 'azplex':** - Use 'azplex' to authenticate with Azure, Microsoft Fabric, and Azure DevOps services. - Leverage 'azplex' for managing resources on each platform, ensuring seamless interactions between Azure, Microsoft Fabric, and Azure DevOps. - Employ 'azplex' to orchestrate the deployment and management processes, allowing for the automation of complex tasks. - Utilize 'azplex' for logging and monitoring purposes, ensuring that users have access to comprehensive information about their resources and operations.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue