AI Analysis
The package shows some unusual obfuscation techniques and concerns regarding the author's PyPI account status, which warrants further investigation.
- Unusual obfuscation techniques
- Author's new or inactive PyPI account
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 command-line interface manipulations.
- Obfuscation: The obfuscation technique used is somewhat unusual but does not necessarily indicate malicious intent.
- Credentials: No clear signs of credential harvesting were detected.
- Metadata: The package has no suspicious links or git repository flags, but the author's new or inactive PyPI account raises some concern.
Package Quality Overall: Low (4.6/10)
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 project131 type-annotated function signatures detected in source
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
Create a real-time vehicle monitoring system using the 'antchain-intellicar' Python package. This mini-app will allow users to monitor their vehicles' status, including location, speed, and diagnostics data, directly from their smartphones or computers. The application will provide a user-friendly interface where users can log in, view the status of their registered vehicles, and receive alerts for any unusual activities or maintenance needs. Step 1: Set up your development environment by installing the necessary packages, including 'antchain-intellicar'. Step 2: Design the database schema to store user information, vehicle details, and historical data. Step 3: Implement user authentication and authorization mechanisms to ensure secure access. Step 4: Use the 'antchain-intellicar' package to integrate with the INTELLICAR service. This includes setting up connections, fetching vehicle data, and handling responses. Suggested Features: - Real-time tracking of vehicle location on a map. - Historical route visualization for past trips. - Speed alerts when the vehicle exceeds a set limit. - Diagnostic code retrieval and translation into understandable terms. - Maintenance alerts based on vehicle usage and diagnostic codes. - User notifications via email or SMS for critical events. The 'antchain-intellicar' package will be utilized extensively throughout the project. It provides APIs for connecting to the INTELLICAR service, fetching live and historical data about vehicles, and performing various operations related to vehicle management. Your task is to leverage these APIs to create a robust and user-friendly application that enhances the experience of owning and operating a vehicle.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue