antchain-dtaiagt

v4.2.0 safe
4.0
Medium Risk

Ant Chain DTAIAGT SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories except for obfuscation, where it scored moderately high due to an unusual pattern in code. However, there's no evidence of malicious activity.

  • No network or shell risks detected.
  • Moderate obfuscation risk noted, possibly benign.
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 from the package.
  • Obfuscation: The observed pattern is unusual and may indicate an attempt to obscure the version retrieval process, but it could also be a non-standard implementation.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: The author has only one package on PyPI which may indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Low (4.6/10)

○ 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 (993 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
  • 135 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in alipay/antchain-openapi-prod-sdk
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • n-openapi-prod-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "antchain_alipay_util>=1.0.1,
✓ 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 alipay/antchain-openapi-prod-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Ant Chain 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 antchain-dtaiagt 
Develop a fully-functional mini-app that leverages the 'antchain-dtaiagt' Python package to authenticate users via facial recognition technology. This app will serve as a secure login system for various online services, ensuring user identity verification before granting access to sensitive information or functionalities.

### Key Features:
1. **User Registration**: Allow new users to register with their unique facial data. Users will capture a selfie using their device's camera, which will be processed and stored securely by the 'antchain-dtaiagt' package.
2. **Login Authentication**: When users attempt to log in, they'll be prompted to take another selfie. The app will use the 'antchain-dtaiagt' package to compare this image against the stored facial data, verifying the user's identity.
3. **Security Measures**: Implement robust security measures such as encryption of all facial data both in transit and at rest, as well as strict access controls to ensure only authorized personnel can access the facial data.
4. **Real-Time Feedback**: Provide real-time feedback to users during the authentication process, indicating whether the login attempt was successful or if further verification steps are required.
5. **Data Privacy Compliance**: Ensure compliance with relevant data privacy regulations (such as GDPR) by clearly explaining how facial data is collected, stored, and used, and obtaining explicit consent from users.

### Utilization of 'antchain-dtaiagt':
- **Facial Data Collection**: Use the 'antchain-dtaiagt' package to collect and process facial images captured by users during registration.
- **Facial Recognition**: Leverage the package's facial recognition capabilities to authenticate users during login attempts by comparing live facial captures with registered facial data.
- **Data Management**: Utilize the package's secure storage and retrieval mechanisms to manage facial data efficiently and securely throughout the user lifecycle.

This project aims to showcase the potential of facial recognition technology in enhancing security and user experience while adhering to high standards of data protection.

💬 Discussion Feed

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