abrasileirado

v1.0.1 suspicious
4.0
Medium Risk

Python library specific brazilian objects and validations.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, and code obfuscation. However, the metadata suggests incomplete author information and potentially low activity, raising concerns about its legitimacy.

  • Metadata risk due to incomplete author information
  • Potential low activity level
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 from 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 potential low activity and incomplete author information, raising some suspicion but not conclusive evidence of malice.

🔬 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: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.stf.jus.br/portal/cms/verTexto.asp?servico=processoPeticaoEletronica&
⚠ 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 abrasileirado 
Create a Brazilian Tax Compliance Utility using the Python package 'abrasileirado'. This utility will help users validate and format Brazilian tax identification numbers (CNPJ and CPF), check if a company exists based on its CNPJ number, and provide basic information about a person or company based on their CPF or CNPJ respectively. Here are the steps and features you should include:

1. **Project Setup**: Start by setting up a new Python project and installing the 'abrasileirado' package.
2. **User Interface**: Design a simple command-line interface (CLI) where users can input either a CPF or CNPJ number.
3. **Validation Module**: Implement a validation module using 'abrasileirado' to check if the entered CPF or CNPJ is valid according to Brazilian standards.
4. **Company Information Module**: If a valid CNPJ is provided, use 'abrasileirado' to check if the company exists and retrieve basic information such as the company name and address.
5. **Person Information Module**: If a valid CPF is provided, use 'abrasileirado' to retrieve basic personal information like full name and birth date.
6. **Error Handling**: Ensure that the utility gracefully handles invalid inputs and provides clear error messages.
7. **Output Display**: Finally, display all retrieved information in a user-friendly format.

This project will showcase the practical application of 'abrasileirado', providing a valuable tool for anyone dealing with Brazilian tax compliance issues.