AI Analysis
The package shows minimal signs of risk in terms of network, shell, obfuscation, and credential risks. However, the metadata risk score is elevated due to the presence of a non-HTTPS link and the maintainer's association with only one package, raising suspicions about potential supply-chain risks.
- Metadata risk due to non-HTTPS link
- Maintainer has only one associated package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The presence of a non-HTTPS link and the maintainer having only one package suggest some level of suspicion, but there are no clear indicators of malicious intent.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000/docs
Repository thekakodkar/BODtoJSON appears legitimate
1 maintainer concern(s) found
Author "Niraj Kakodkar" 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 fully-functional mini-application named 'BODtoJSON-Converter' using the Python package 'BODtoJSON'. This application will serve as a bridge between complex Infor OAGIS Business Object Documents (BODs) and more easily consumable JSON data formats. The goal is to provide users with a simple interface to upload BOD files, convert them into flattened JSON structures, and then download or view these JSON outputs directly from the application. Step-by-Step Instructions: 1. Set up a basic Flask web application structure with necessary dependencies including Flask, BODtoJSON, and any other required packages. 2. Implement a file upload feature allowing users to select and upload their BOD files. 3. Integrate the BODtoJSON package to handle the conversion process from BOD to JSON within the application. 4. Display the converted JSON output on a new page or modal within the app for users to review. 5. Provide options for users to either save the JSON output back to their local machine or send it via email. 6. Include error handling mechanisms to deal with invalid uploads or conversion errors. 7. Add documentation and comments throughout the codebase to ensure maintainability. 8. Test the application thoroughly using different types of BOD files to ensure robustness. Suggested Features: - User-friendly interface for uploading files. - Real-time progress indication during the conversion process. - Option to preview the JSON output before saving or sending. - Email functionality for sharing the JSON output with colleagues or stakeholders. - Comprehensive logging system for tracking uploads and conversions. - Compatibility with various versions of Infor OAGIS BOD formats.
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