alibabacloud-green20220926

v1.8.0 suspicious
4.0
Medium Risk

Alibaba Cloud Green (20220926) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation, which could be an attempt to conceal its true nature or dependencies. While there are no immediate red flags such as network risks, shell execution, or credential harvesting, the low activity level of the author's account adds to the suspicion.

  • Observed obfuscation pattern indicating possible attempts to hide the true origin or dependencies of the package
  • Single package from the author suggesting a less active or new account
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 direct system command execution from the package.
  • Obfuscation: The observed obfuscation pattern is suspicious and may indicate an attempt to hide the true origin of the package or its dependencies.
  • Credentials: No clear signs of credential harvesting were detected.
  • Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious activities are flagged.

📦 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
  • 126 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-green20220926 
Create a content moderation tool using the 'alibabacloud-green20220926' Python package. This tool will serve as a web-based application where users can upload images and receive real-time feedback on whether the image contains any inappropriate content such as violence, pornography, or other sensitive materials.

The application should include the following features:
1. User-friendly interface for uploading images.
2. Integration with the 'alibabacloud-green20220926' package to process uploaded images and detect any inappropriate content.
3. Display of the detection results, including confidence scores for different categories of inappropriate content.
4. Optional feature: Allow users to provide feedback on the accuracy of the detection results to help improve the model over time.
5. Ensure the application is secure and respects user privacy.

Steps to create the application:
1. Set up a virtual environment and install necessary packages, including Flask for the web framework and 'alibabacloud-green20220926'.
2. Configure the 'alibabacloud-green20220926' package with your Alibaba Cloud credentials.
3. Develop the front-end using HTML/CSS/JavaScript for a simple yet effective user interface.
4. Implement the back-end logic to handle file uploads and integrate the 'alibabacloud-green20220926' package to perform content moderation.
5. Design the response structure to display the results from the content moderation API clearly and concisely.
6. Test the application thoroughly, ensuring it works as expected under various conditions.
7. Deploy the application to a cloud platform like Alibaba Cloud for public access.

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