AI Analysis
The package appears to be legitimate and secure, with low risks identified in all categories.
- No network calls detected
- No shell execution patterns
- Low metadata risk due to limited package history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating no suspicious command-line operations.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities were detected.
Package Quality Overall: Low (4.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1171 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project144 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdkSingle author but highly active (100 commits)
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: alibabacloud.com
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository aliyun/alibabacloud-python-sdk appears legitimate
1 maintainer concern(s) found
Author "Alibaba Cloud SDK" 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 Python-based desktop application that leverages the 'alibabacloud-ims20190815' package to manage user identities and access control within an Alibaba Cloud environment. This tool will serve as a simplified Identity Management System (IMS) dashboard, allowing users to perform key operations such as creating, updating, and deleting identities, managing policies, and handling authentication requests. Step 1: Set up your development environment with Python installed and the 'alibabacloud-ims20190815' package via pip. Step 2: Design the user interface using a library like Tkinter for a basic GUI experience. Step 3: Implement core functionalities: - User Identity Management: Allow users to create, update, and delete identities. - Policy Management: Enable users to attach and detach policies from identities. - Authentication Handling: Provide a way to authenticate users and handle access requests. Step 4: Ensure security measures are in place, such as encrypting sensitive information and securing API keys. Step 5: Test each feature thoroughly to ensure reliability and functionality. Suggested Features: - Role-based Access Control (RBAC): Implement different roles with varying levels of access. - Audit Logs: Keep track of all actions performed on identities and policies. - Multi-Factor Authentication (MFA): Enhance security by requiring multiple forms of authentication. Utilization of 'alibabacloud-ims20190815': This package provides the necessary functions to interact with Alibaba Cloud's Identity and Access Management service. Use it to authenticate API calls, manage identities, and apply policies through its provided methods. For example, use the 'create_user' method to add new identities, 'attach_policy_to_user' to assign permissions, and 'delete_user' to remove identities when no longer needed.
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