🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, and code obfuscation. However, metadata analysis reveals suspicious signs such as low repository engagement and a newly created maintainer account, raising concerns about potential supply-chain attacks.

Low repository engagement and a single commit suggest lack of community support or ongoing development.
A new maintainer account increases suspicion regarding the authenticity and trustworthiness of the package.

Per-check LLM notes

Network: No network calls detected, which is normal for a package focused on local processing like ID card tools.
Shell: No shell execution patterns detected, consistent with an expected behavior for a package not requiring system-level operations.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
Metadata: Suspicious activity includes low repository engagement, single commit, and new maintainer account.

🔬 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 score 3.0

Suspicious email domain flags: Very short email domain: qq.com

Very short email domain: qq.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Very few commits: 1 total
Single contributor with only 1 commit(s) — possibly throwaway account

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "xystudio" 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 PRCIDCardTool

Create a Python-based mini-application named 'IDValidator' that leverages the PRCIDCardTool package to validate and generate Chinese ID numbers. This application will serve as a tool for developers and users who need to work with Chinese ID numbers but without the intention of generating real IDs or handling personal data. Here are the steps and features to implement:

1. **Project Setup**: Initialize a new Python project and install the PRCIDCardTool package using pip.
2. **Input Interface**: Design a simple command-line interface where users can input either a full ID number or just the first 17 digits of an ID number.
3. **Validation Functionality**: Implement a function that uses PRCIDCardTool to validate the input ID number. If the input is only the first 17 digits, the function should calculate and append the correct check digit.
4. **Output Display**: After processing, display whether the ID number is valid or invalid based on the PRCIDCardTool's validation result. If the input was incomplete (only 17 digits), also show the complete ID number with the calculated check digit.
5. **Additional Features**:
   - Include a help menu that explains how to use the application and what it does.
   - Add an option for users to generate a random valid ID number for testing purposes (ensuring no real personal information is involved).
6. **Testing**: Ensure all functionalities are thoroughly tested using both valid and invalid inputs.

This project aims to demonstrate the practical use of PRCIDCardTool in validating and generating Chinese ID numbers, providing a useful tool for those needing to work with such identifiers.