alibabacloud-iqs20241111

v1.10.1 suspicious
3.0
Low Risk

Alibaba Cloud IQS (20241111) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some obfuscation techniques which might indicate an attempt to hide its true nature or functionality, but there are no clear signs of malicious activity or credential harvesting.

  • Use of __import__ for version retrieval suggests potential obfuscation
  • No evidence of credential theft or other malicious activities
Per-check LLM notes
  • Obfuscation: The use of __import__ for version retrieval may indicate an attempt to obscure the package's true identity or behavior.
  • Credentials: No clear patterns indicative of credential harvesting were found.

📦 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 (1171 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
  • 201 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-iqs20241111 
Develop a real-time intelligent query system (IQS) mini-app using the 'alibabacloud-iqs20241111' Python package. This mini-app will serve as a powerful tool for querying large datasets stored on Alibaba Cloud, providing users with instant insights and analysis. Here’s a detailed breakdown of the project steps and features:

1. **Setup**: Begin by installing the 'alibabacloud-iqs20241111' package via pip and setting up your Alibaba Cloud credentials.

2. **User Interface**: Design a clean, user-friendly interface where users can input their queries and view results. Consider using a web framework like Flask or Django for backend services and React or Vue.js for frontend development.

3. **Query Submission**: Implement functionality that allows users to submit complex SQL-like queries through the UI. These queries will be sent to the IQS service using the 'alibabacloud-iqs20241111' package.

4. **Real-Time Query Execution**: Use the 'alibabacloud-iqs20241111' package to execute these queries against the dataset hosted on Alibaba Cloud. Ensure that the process is optimized for speed and efficiency.

5. **Result Display**: Once the query is executed, display the results back to the user in a readable format. Consider adding features such as result pagination, sorting, and filtering.

6. **Error Handling**: Implement robust error handling to manage any issues that arise during query execution, such as invalid syntax or dataset access errors.

7. **Advanced Features**:
   - **Data Visualization**: Integrate a charting library (like Plotly or Matplotlib) to visualize query results graphically.
   - **Query History**: Allow users to save and revisit previous queries.
   - **Collaboration**: Enable users to share their queries and results with others.

8. **Security Measures**: Ensure all data exchanges between the client and server are secure, using HTTPS and proper authentication mechanisms.

9. **Documentation**: Provide comprehensive documentation for both end-users and developers, detailing how to use the app and integrate it into other systems.

Throughout the project, focus on leveraging the 'alibabacloud-iqs20241111' package to its fullest potential, ensuring that the mini-app is not only functional but also efficient and scalable.

💬 Discussion Feed

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