AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. The metadata suggests it might be from a newer or less active account but does not raise significant concerns.
- No network calls detected
- Only one package by the author
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; the package may be designed to work offline or require explicit user initiation.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands, which is typical and safe for most libraries.
- 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 suspicious flags are present.
Package Quality Overall: Medium (5.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (45608 chars)
○ 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
Type checker (mypy / pyright / pytype) referenced in project
✦ High
Multiple Contributors
10.0
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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 Azure/azure-sdk-for-python appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Microsoft Corporation" 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 azure-mgmt-sql
Your task is to develop a command-line utility using Python that leverages the 'azure-mgmt-sql' package to manage Azure SQL Databases more efficiently. This tool will enable users to perform various administrative tasks such as creating, updating, deleting databases, managing firewall rules, and retrieving information about their SQL servers and databases. The application should be designed to authenticate securely using Azure Active Directory (Azure AD) credentials and provide a user-friendly interface for executing these operations. Here are the key features your utility should include: 1. **Authentication**: Implement Azure AD authentication to securely connect to the Azure SQL service. 2. **Database Management**: Allow users to create new SQL databases, update existing ones, and delete them when no longer needed. 3. **Firewall Rule Management**: Enable adding, removing, and listing firewall rules associated with SQL servers to control access from specific IP addresses. 4. **Information Retrieval**: Provide options to fetch details about SQL servers and databases, including their state, size, and creation date. 5. **User Interface**: Design a simple yet effective command-line interface (CLI) where users can easily input commands and view results. 6. **Logging and Error Handling**: Ensure all actions performed through the CLI are logged, and any errors encountered during execution are handled gracefully and reported back to the user. The 'azure-mgmt-sql' package will be central to implementing these functionalities. It provides a rich set of APIs for interacting with Azure SQL resources, which you'll use to construct your utility. For example, to create a new database, you would use the 'create_or_update' method provided by the package on the appropriate resource object. Similarly, for managing firewall rules, you would utilize the corresponding methods offered by the package to add, remove, and list rules. Remember to thoroughly document your code and include examples of how to run the utility for different scenarios. This documentation will serve as a guide for other developers and end-users who wish to utilize or extend your utility.
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