This repository is a straightforward, ready-to-use Brazilian wordlist containing common names and passwords, suitable for basic dictionary attacks or WPA2 cracking.
Here鈥檚 a quick pipeline to build your list:
Combine the outputs into a master wordlist. Import this list into Hashcat or John the Ripper. Apply rule files like passphrase-rule1.rule and passphrase-rule2.rule (from the pt-br-passphrase-wordlist project) to generate billions of passwords from your base list.
According to the latest NordPass study, the most common password in Portugal in 2025 is , officially dethroning the classic "123456". The top list currently reads like a compendium of everything an attacker hopes to find:
Encouraging users to utilize the Diceware method鈥攕tringing four or five unrelated Portuguese words together鈥攅xponentially increases the complexity and renders standard dictionary wordlists entirely ineffective. portuguese password wordlist work
Portuguese wordlist work has several real-world applications:
Building a professional wordlist follows a three-step pipeline:
Benfica, Sporting, Porto (Portugal); Flamengo, Palmeiras, Corinthians, S茫o Paulo (Brazil).
Understanding how to construct, optimize, and utilize a Portuguese password wordlist is critical for effective security assessments. Why Localized Wordlists Matter Apply rule files like passphrase-rule1
A Portuguese wordlist optimizes this process by targeting specific regional traits:
Users frequently incorporate local football teams, pop culture, holidays, and regional expressions into their credentials.
The foundation of effective wordlist work is psychology. By understanding how Portuguese-speaking users typically create passwords, you can prioritize your wordlist generation efforts. The password admin has become a significant security concern in Portugal and Brazil.
: An analysis of 91 Portuguese institutions that found many users and configurations were vulnerable to dictionary-based attacks due to a lack of security awareness. Comparison of Methods and regional expressions into their credentials.
Creating a high-quality wordlist involves collection, filtration, and mutation. Step 1: Data Scraping and Collection
Keyboard walks and simple sequences (e.g., 123 , abc , mudar123 ). How Professionals Build and Refine Wordlists
Today, the work is about scale and popularity-based sorting.