alibabacloud-wyota20210420

v3.0.0 suspicious
4.0
Medium Risk

Alibaba Cloud wyota (20210420) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some unusual obfuscation practices and comes from a potentially new or less active account, raising concerns about its authenticity and purpose.

  • Unusual obfuscation pattern
  • Author has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: The obfuscation pattern is unusual and may indicate an attempt to hide version information or dependencies, but without more context, it's hard to determine if it's malicious.
  • Credentials: No clear patterns of credential harvesting are detected, suggesting low risk.
  • Metadata: The author has only one package, which might indicate a new or less active account. The non-HTTPS link could be a minor concern.

📦 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 (1179 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
  • 80 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-wyota20210420 
Create a Python-based mini-app that integrates with Alibaba Cloud's wyota service via the 'alibabacloud-wyota20210420' SDK. This app will serve as a simple data processing tool, allowing users to upload datasets, apply predefined data transformations, and visualize the results using matplotlib. Here’s a step-by-step guide on how to develop this mini-app:

1. **Setup Environment**: Ensure your development environment has Python installed along with the 'alibabacloud-wyota20210420' package. Install any additional dependencies like pandas for data manipulation and matplotlib for visualization.
2. **User Interface**: Develop a basic command-line interface (CLI) where users can interact with the app through commands. Alternatively, you could create a simple web interface using Flask or Django if you prefer.
3. **Data Upload**: Implement functionality for users to upload CSV files containing their dataset directly into the app. Use the 'alibabacloud-wyota20210420' package to securely store these files in an Alibaba Cloud bucket.
4. **Data Transformation**: Allow users to select from a set of predefined transformations such as normalization, aggregation, or filtering. These transformations will be applied using pandas and then uploaded back to the Alibaba Cloud storage.
5. **Visualization**: Once transformations are complete, allow users to generate visual representations of their data. Use matplotlib to plot graphs based on the transformed data and display these within the app.
6. **Report Generation**: Integrate a feature to automatically generate PDF reports summarizing the transformation process and key findings from the visualizations. These reports should also be stored in the Alibaba Cloud bucket.
7. **Security and Compliance**: Ensure all interactions with Alibaba Cloud services comply with security best practices. Utilize the 'alibabacloud-wyota20210420' package's authentication mechanisms to secure access.
8. **Testing and Deployment**: Thoroughly test the app to ensure all functionalities work as expected. Deploy the final version either as a standalone CLI tool or a web application accessible via a URL.