AI Analysis
The package exhibits moderate risk due to potential obfuscation techniques and an insecure external link in its metadata. Further investigation is warranted.
- Use of __import__ suggests possible code obfuscation.
- Non-HTTPS external link in metadata poses a potential security risk.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution detected, which is typical and indicates the package does not execute system commands.
- Obfuscation: The use of __import__ to dynamically import the version from another module suggests obfuscation but may also be a legitimate coding practice for certain scenarios.
- Credentials: No clear patterns indicating credential harvesting were detected.
- Metadata: The author has only one package, and there's a non-HTTPS external link which may pose security risks.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1002 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project
Limited contributor diversity
2 unique contributor(s) across 100 commits in alipay/antchain-openapi-prod-sdkTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
n-openapi-prod-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "antchain_alipay_util>=1.0.1,
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 alipay/antchain-openapi-prod-sdk appears legitimate
1 maintainer concern(s) found
Author "Ant Chain SDK" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a user verification mini-app using the 'antchain-realperson' Python package. This app will serve as a tool for businesses to quickly verify the identity of their users through real-person authentication services provided by Ant Chain. Hereβs a detailed guide on how to approach this project: 1. **Project Overview**: Your mini-app should allow users to input basic personal information such as name, ID number, and phone number. Upon submission, the app will use the 'antchain-realperson' package to perform real-person verification. 2. **Features**: - User Input Form: Design a simple form where users can enter their personal details. - Real-Person Verification: Utilize the 'antchain-realperson' package to validate if the entered details correspond to a real person. - Feedback Mechanism: Display whether the verification was successful or not, along with any relevant messages. 3. **Implementation Steps**: - Set up your development environment with Python and install the 'antchain-realperson' package. - Create a user interface (you can use Flask or Django for web-based applications). - Implement the form submission logic which triggers the real-person verification process using the 'antchain-realperson' API. - Handle responses from the 'antchain-realperson' service and display appropriate feedback to the user. 4. **Additional Enhancements** (optional): - Add a feature to send a verification code to the user's phone number for additional security. - Include error handling for common issues like network errors or invalid inputs. - Provide a history log of verification attempts for each user. 5. **Testing**: Ensure you test your application thoroughly under various scenarios, including successful verifications, failed verifications due to incorrect data, and edge cases. 6. **Deployment**: Consider deploying your mini-app on a cloud platform like AWS, Azure, or Alibaba Cloud for easy access. This project aims to demonstrate the power of real-person verification in enhancing user authentication processes, making it easier for businesses to trust their users.