🤖 AI Analysis

Final verdict: SUSPICIOUS

While there are no direct indicators of malicious intent such as network calls or shell execution, the metadata risk score is high due to minimal activity and a single contributor. This raises concerns about the package's reliability and potential for future issues.

High metadata risk due to minimal activity and single contributor
Lack of maintainer history

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 signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: High risk due to minimal activity, single contributor, and lack of maintainer history.

🔬 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

No author email provided

✓ 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 6.0

3 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)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ANAF

Create a Python-based utility named 'FiscalChecker' that leverages the ANAF package to interact with the Romanian National Agency of Fiscal Administration's API endpoints. This utility will serve as a tool for individuals and businesses to verify the fiscal status of Romanian companies. Here’s a step-by-step guide on what your application should do:

1. **User Authentication**: Implement a secure login mechanism for users to authenticate themselves using their ANAF credentials. Ensure that user data is handled securely.
2. **Company Search**: Allow users to search for company information based on various criteria such as CIF (Cod Identificator Fiscal - Fiscal Identification Code), company name, or address. Use the ANAF package to query the relevant API endpoints and display the results.
3. **Fiscal Status Verification**: Provide functionality for users to check if a company has any outstanding tax issues or penalties. The application should display details about any fiscal irregularities found.
4. **Report Generation**: Enable users to generate reports of their searches and verification results. These reports should be downloadable in PDF format.
5. **Notification System**: Integrate a notification system that alerts users via email when new fiscal issues arise for companies they have previously searched.
6. **Database Storage**: Store user queries and company information locally in a database for future reference and analysis.
7. **API Rate Limiting**: Implement rate limiting to prevent abuse of the ANAF API and ensure fair usage among all users.

Suggested Features:
- User-friendly interface with clear instructions and feedback messages.
- Detailed documentation for both end-users and developers.
- Option to save frequently searched companies for quick access.
- Regular updates to include new features or changes in the ANAF API.

Utilize the ANAF package to handle all interactions with the ANAF API, ensuring that you follow best practices for API usage and security. Remember to include error handling and logging mechanisms to improve reliability and debugging capabilities.