🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks but raises concerns due to the lack of maintainer history and author details, suggesting potential issues with its provenance.

Low metadata quality
Lack of maintainer history and author details

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low effort and could be suspicious due to the lack of maintainer history and author details.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: email.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository abdulmuizz0903/KashmiriNormalizer appears legitimate

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with KashmiriNormalizer

Develop a user-friendly command-line tool named 'Kashmiri Text Normalizer' using Python and the 'KashmiriNormalizer' package. This tool will help users normalize Kashmiri text written in Persio-Arabic script, making it easier for them to work with standardized text. Here’s how you can structure your project:

1. **Project Setup**: Begin by setting up a virtual environment for your project and installing the 'KashmiriNormalizer' package.
2. **User Interface**: Design a simple yet effective command-line interface that allows users to input their Kashmiri text. Ensure the UI provides clear instructions on how to use the tool and what normalization processes it supports.
3. **Normalization Features**:
- **Basic Normalization**: Implement a feature that applies basic normalization rules provided by the 'KashmiriNormalizer' package to clean up the text.
- **Advanced Options**: Offer advanced options such as handling special characters, fixing common typographical errors specific to Kashmiri text, and converting between different styles of writing (e.g., Nastaliq to Ruq'ah).
4. **Output Display**: After processing, display the normalized text back to the user in a clear, readable format. Optionally, allow users to save the output to a file.
5. **Error Handling**: Incorporate robust error handling to manage issues like unsupported characters, missing inputs, or other potential errors gracefully.
6. **Documentation**: Write comprehensive documentation explaining how to install the tool, use its features, and troubleshoot common issues.
7. **Testing**: Develop a suite of test cases to ensure your tool works correctly under various scenarios, including edge cases and large volumes of text.

Your goal is to create a versatile and reliable tool that makes it easy for anyone working with Kashmiri text to achieve consistent and high-quality normalization.