🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to incomplete metadata, including a missing author's name and a sole package from the same author on PyPI, raising concerns about its legitimacy and maintainability.

Incomplete metadata with missing author details
Single package from the author on PyPI

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, indicating no direct system command execution.
Metadata: The package shows some red flags such as an author with a missing name and a single package on PyPI, but no clear signs of typosquatting or malicious intent are present.

🔬 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: certusinnovations.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://semver.org/

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 PyContactFile

Create a command-line utility named 'VCFManager' using Python and the PyContactFile library. This utility will allow users to manage their contact information stored in VCF files easily. The application should support the following operations:

1. **Import Contacts**: Users should be able to import contacts from a VCF file into the utility. The utility should parse the VCF file and display a summary of the imported contacts.
2. **Export Contacts**: Users should be able to export a subset of their contacts back to a VCF file. They can choose which contacts to export based on specific criteria like name, phone number, or email address.
3. **Search Contacts**: Implement a search functionality that allows users to find contacts based on various attributes such as name, phone number, email, etc.
4. **Add/Update Contacts**: Provide options for adding new contacts or updating existing ones. When updating, users should be able to modify multiple fields at once.
5. **Delete Contacts**: Allow users to delete one or more contacts from their list.
6. **Display Contact List**: Show a formatted list of all contacts in the user's database.
7. **Backup and Restore**: Implement backup and restore functionalities for user data, ensuring that all changes are saved and recoverable.

**How to Use PyContactFile**:
- Utilize PyContactFile's parsing capabilities to read and write VCF files efficiently.
- Use its object model to represent contact information accurately, allowing for easy manipulation and querying of contact data.
- Leverage any additional utilities provided by the package for handling common contact management tasks.

This project aims to provide a robust and user-friendly solution for managing personal contacts via the command line, demonstrating the power and flexibility of the PyContactFile library.