AI Analysis
Final verdict: SAFE
The package is deemed safe with a moderate network and shell risk due to its nature as an Azure-related tool, but these are typical for such applications and do not indicate malicious intent.
- Low obfuscation and credential risks
- Moderate network and shell execution risks, typical for Azure tools
Per-check LLM notes
- Network: Network calls to Azure services are likely legitimate for an Azure-related package.
- Shell: Local shell execution can be risky if commands are not properly sanitized or controlled.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which may indicate a new or less active account but no other red flags were identified.
Package Quality Overall: Low (4.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ 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
189 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
23 unique contributor(s) across 100 commits in Azure/azureml-assetsActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
ts=1" response = requests.get( list_container_url, timeon.token}"} response = requests.get(vmSizes, headers=headers) status_code = response.sta
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
ogger.print(cmd) result = subprocess.run( cmd, cwd=cwd, stdout=subprocess.PIP
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Azure/azureml-assets appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Microsoft Corp" 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 azureml-assets
Create a mini-application that allows users to publish machine learning models and datasets to Azure Machine Learning registries using the 'azureml-assets' package. Your application should have a user-friendly interface where users can select their model or dataset files, specify the registry destination, and any necessary metadata such as tags or descriptions. Additionally, implement error handling to manage issues like invalid file formats or connection errors. Here are the key steps and features your app should include: 1. **Setup**: Ensure the 'azureml-assets' package is installed and properly configured with Azure credentials. 2. **User Interface**: Develop a simple GUI or CLI interface where users can navigate through their local directories to choose the file they want to publish. 3. **Configuration Input**: Allow users to input details about the registry destination, including subscription ID, resource group name, workspace name, and registry name. 4. **Metadata Entry**: Provide fields for entering metadata such as asset name, version, tags, and description. 5. **Publish Functionality**: Implement the logic to use 'azureml-assets' to publish the selected asset to the specified registry. 6. **Feedback Mechanism**: After attempting to publish, display feedback to the user indicating success or failure along with any error messages. 7. **Error Handling**: Incorporate robust error handling to catch and report common issues effectively. 8. **Testing**: Include a testing phase to ensure all functionalities work as expected under various scenarios.
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