alibabacloud-yike20260319

v1.6.3 suspicious
4.0
Medium Risk

Alibaba Cloud Yike (20260319) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some signs of obfuscation through dynamic imports but lacks clear evidence of credential theft. The low number of packages maintained by the author increases suspicion about its origin and intentions.

  • Use of __import__ to dynamically load versions suggests potential obfuscation techniques.
  • Maintainer has only one package on PyPI, indicating possible new or less active developer.
Per-check LLM notes
  • Obfuscation: The use of __import__ to dynamically load the version from another package suggests potential obfuscation or evasion techniques.
  • Credentials: No clear evidence of credential harvesting patterns detected.
  • Metadata: The package has a non-secure external link and the maintainer has only one package on PyPI, which could indicate new or inactive status.

📦 Package Quality Overall: Low (4.4/10)

○ 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 (1175 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 204 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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 alibabacloud-yike20260319 
Create a Python-based mini-application that integrates with Alibaba Cloud's Yike service (identified through the 'alibabacloud-yike20260319' SDK) to provide users with personalized learning recommendations based on their interests and past interactions. This application will serve as a simple educational resource recommendation system. Here’s a detailed plan for the project:

1. **Setup Environment**: Ensure your development environment has Python installed, along with the necessary libraries such as 'alibabacloud-yike20260319'. Also, set up an Alibaba Cloud account and obtain the necessary credentials to access the Yike service.

2. **User Interface**: Develop a basic command-line interface (CLI) or a simple web interface using Flask or Django where users can log in and interact with the system.

3. **User Interaction**: Implement functionality within the application that allows users to input their areas of interest and past learning experiences. This data will be used to generate personalized recommendations.

4. **Integration with Yike Service**: Use the 'alibabacloud-yike20260319' package to fetch relevant educational resources from the Yike service. The application should be able to request resources based on user inputs and filter them according to relevance and popularity.

5. **Recommendation Engine**: Based on the user's inputs and the fetched data from Yike, develop a simple algorithm or use pre-existing recommendation models available through Yike to suggest the most relevant learning materials.

6. **Feedback Mechanism**: Allow users to rate the recommended resources. Collect this feedback to improve future recommendations.

7. **Reporting & Analytics**: Implement basic reporting features to show trends in user preferences and engagement with recommended resources.

8. **Testing & Deployment**: Test the application thoroughly to ensure all functionalities work as expected. Once ready, deploy the application on a server or cloud platform accessible via the internet.

The 'alibabacloud-yike20260319' package plays a crucial role in fetching and processing educational content from Alibaba Cloud's Yike service, making it possible for the application to deliver personalized learning experiences to its users.

💬 Discussion Feed

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