OSINT Brazuca Regex is a CLI tool and curated dataset of regular expressions for detecting Brazilian and global PII/OSINT-relevant patterns. The scanner (`osint_regex_scan.py`) applies the dataset to files, directories, or stdin, supporting multi-threading, text extraction from documents (PDF, DOCX, XLSX, RTF, EPUB) via stdlib or optional `pypdf`/`pdftotext`, and noise filtering (blob masking, line length limits). Output formats include terminal, CSV, JSON, or raw values. The dataset is split into two JSON files (Brazil-specific and general), merged at load time, and includes patterns for CPF, CNPJ, credit cards, crypto wallets, API credentials, and more. The repository also includes a build script (`build.py`) for managing the split/merged dataset. Core functionality requires only Python 3.12+ stdlib, with optional dependencies for extended PDF support and encoding detection.
nfelib is a Python library providing data bindings, serialization, and SOAP client support for Brazilian electronic fiscal documents (NF-e, CT-e, MDF-e, NFSe, BP-e). It uses xsdata to auto-generate Python dataclasses from official XSD schemas (versions v4.0, v3.0, v1.0). The library includes a CommonMixin base class for common XML operations (to_xml, from_xml, sign_xml, to_pdf, validate_xml), SOAP service bindings generated from WSDLs, and server endpoint configurations per Brazilian state (UF). It also provides code generation tools (generate_bindings.py) and server endpoint scraping utilities (servers_scraper.py). The architecture mixes auto-generated binding code with handcrafted integration patterns and testing utilities. The project has strong test coverage, including round-trip XML serialization tests, protocol buffer validation, and fingerprint-based detection of external schema changes. It is designed for ERP integration (e.g., Odoo) and fiscal compliance software.