| # password-list-generator-complete | |
| pass list generator tool for **Ethical Hacking** | |
| **under development** | |
| # π PLG_ysnrfd β Advanced Context-Aware Password Intelligence & Security Analyzer | |
| [](https://www.python.org/) | |
| []() | |
| --- | |
| ## π Overview | |
| **PLG_ysnrfd** is a powerful tool for **password security analysis** and **context-aware password generation**. | |
| It leverages advanced algorithms for entropy calculation, pattern recognition, user behavior modeling, and cultural context to produce **strong, personalized passwords** and evaluate the strength of existing ones. | |
| This project is designed to improve cybersecurity awareness and is intended **only for authorized security testing and educational purposes**. | |
| --- | |
| ## β¨ Features | |
| - **Comprehensive Password Analysis** | |
| Detects dictionary words, keyboard patterns, repeated characters, cultural references, and common password structures. | |
| - **Entropy Calculation** | |
| Calculates the password entropy based on Shannonβs formula and penalizes weak or predictable patterns. | |
| - **Smart Password Generation** | |
| Creates personalized passwords using user information (e.g., names, pets, dates, cultural events) with advanced transformations (leet-speak, camelCase, hex encoding, etc.). | |
| - **Multi-Language Support** | |
| Supports **English, German, Persian, French, and Spanish** with language-specific wordlists and keyboard layouts. | |
| - **Ethical Safeguard System** | |
| Built-in interactive verification to ensure usage is legal and ethical (authorized penetration testing). | |
| - **Behavioral Prediction** | |
| Uses a `UserBehaviorPredictor` class to understand the security awareness, emotional bias, and cultural context of the user. | |
| - **Encrypted Logging** | |
| Secure logging of usage data with SHA-256 hashing. | |
| - **Leaked Password Transformation** | |
| Learns from compromised passwords and generates improved, stronger variants. | |
| --- | |
| ## π¦ Installation | |
| **1. Clone the repository** | |
| ```bash | |
| git clone https://github.com/ysnrfd/password-list-generator-complete.git | |
| cd password-list-generator-complete | |
| ``` | |
| **2. Install dependencies** | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| **3. Required Python Libraries** | |
| nltk (WordNet, Punkt tokenizer) | |
| pandas | |
| scikit-learn | |
| requests | |
| tqdm | |
| python-Levenshtein | |
| **Note: For NLTK, you may need to download WordNet and Punkt data:** | |
| ```python | |
| import nltk | |
| nltk.download('wordnet') | |
| nltk.download('punkt') | |
| ``` | |
| ## π§ Usage | |
| **1. Run the tool directly** | |
| **Windows:** | |
| ```python | |
| python PLG_ysnrfd.py | |
| ``` | |
| **Linux**: | |
| ```python | |
| python3 PLG_ysnrfd.py | |
| ``` | |
| **2. Analyze the strength of a password** | |
| ```python | |
| from PLG_ysnrfd import PasswordEntropyAnalyzer | |
| analyzer = PasswordEntropyAnalyzer(language='en') | |
| result = analyzer.analyze_password_patterns("MyP@ssw0rd2024") | |
| print(result) | |
| ``` | |
| **3. Generate context-aware passwords** | |
| ```python | |
| from PLG_ysnrfd import ContextualPasswordGenerator | |
| user_info = { | |
| 'first_name': 'Alice', | |
| 'birth_year': '1995', | |
| 'pets': ['Luna'], | |
| 'nationality': 'USA', | |
| 'language': 'en' | |
| } | |
| generator = ContextualPasswordGenerator(language='en') | |
| passwords = generator._generate_weighted_combinations(user_info, count=10, min_length=8, max_length=16) | |
| print(passwords) | |
| ``` | |
| ## β οΈ Ethical Disclaimer | |
| This tool is strictly for educational and authorized penetration testing. | |
| Before usage, the program requires you to accept the Ethical Usage Agreement. | |
| Unauthorized use of this tool is illegal and unethical. | |
| Always ensure you have explicit written consent before testing any system. | |
| ## π Project Structure | |
| ```structure | |
| password-list-generator-complete/ | |
| βββ PLG_ysnrfd.py | |
| βββ requirements.txt | |
| βββ README.md | |
| ``` | |
| ## π§ Algorithms | |
| - **Entropy Calculation** | |
| Uses Shannon entropy, keyboard pattern detection, and character frequency analysis to assess password complexity. | |
| - **User Behavior Modeling** | |
| Predicts password habits based on cultural background, age, pets, children, and emotional factors. | |
| - **Context-Aware Password Generation** | |
| Combines personal data, cultural events, and randomized transformations to produce strong, unique passwords. | |
| ## π Roadmap | |
| - Integration with leaked password databases (HaveIBeenPwned API) | |
| - More language packs (Italian, Russian, Arabic) | |
| - Plugin-based architecture for custom rules | |
| ## π License | |
| This project is released under the **ysnrfd LICENSE.** | |
| See the LICENSE file for details. | |
| ## π€ Author | |
| **Developer: YSNRFD** | |
| **Telegram: @ysnrfd** | |
| ## π Support the Project | |
| **If you find this project useful, please give it a β on GitHub!** | |