AI Analysis
Final verdict: SUSPICIOUS
The package exhibits some unusual metadata characteristics with a new or inactive maintainer account and missing author information, raising suspicion. However, no immediate signs of malicious activity were found in network, shell, obfuscation, or credential risks.
- New or inactive maintainer account
- Missing author name in metadata
Per-check LLM notes
- Network: The network call pattern suggests legitimate HTTP requests, possibly for updating or syncing purposes, but further investigation is needed to confirm its purpose.
- Shell: No shell execution patterns detected, which is normal and expected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but does not conclusively indicate malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
imeout self._client = httpx.AsyncClient(timeout=timeout) async def close(self) -> None:
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: microsoft.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository microsoft/agent-framework appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agent-framework-purview
Create a Python-based mini-application that integrates Microsoft Purview with the Microsoft Agent Framework using the 'agent-framework-purview' package. This application will serve as a data governance tool, allowing users to manage metadata and compliance checks across various data sources within their organization. Here’s a step-by-step guide on how to develop this application: 1. **Setup Environment**: Ensure your development environment has Python installed, along with the necessary packages such as 'agent-framework-purview', requests, and any other dependencies. 2. **Authentication & Configuration**: Implement a secure method to authenticate users with Microsoft Azure Active Directory and configure access to Microsoft Purview services. Use environment variables or a configuration file to store sensitive information like client IDs, tenant IDs, etc. 3. **Data Source Management**: Develop functionality to connect to different data sources (e.g., SQL databases, cloud storage, etc.). For each data source, retrieve metadata details such as schema, tables, columns, and data types. 4. **Metadata Management**: Utilize the 'agent-framework-purview' package to register these data sources and their associated metadata into Microsoft Purview. Include features to update and delete metadata entries. 5. **Compliance Checks**: Integrate rules and policies from Microsoft Purview to perform compliance checks against the registered data sources. Highlight any discrepancies or violations in a user-friendly format. 6. **User Interface**: Design a simple command-line interface (CLI) or a basic web interface using Flask or Django, allowing users to interact with the application easily. The UI should display key metrics about data governance status and allow actions like initiating a new compliance check or updating metadata. 7. **Reporting & Analytics**: Implement a feature to generate reports based on the metadata and compliance data stored in Microsoft Purview. These reports should provide insights into data usage patterns, compliance trends, and potential risks. 8. **Documentation & Testing**: Write comprehensive documentation detailing how to install, configure, and use the application. Conduct thorough testing to ensure all functionalities work as expected under various scenarios. Suggested Features: - Automated scheduling of compliance checks at regular intervals. - Support for multiple authentication methods (OAuth2, API keys). - Real-time alerts for critical compliance issues. - Integration with other Microsoft services like Power BI for advanced analytics.