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