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# password-list-generator-complete |
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pass list generator tool for **Ethical Hacking** |
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**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**. |
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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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## β¨ Features |
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- **Comprehensive Password Analysis** |
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Detects dictionary words, keyboard patterns, repeated characters, cultural references, and common password structures. |
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- **Entropy Calculation** |
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Calculates the password entropy based on Shannonβs formula and penalizes weak or predictable patterns. |
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- **Smart Password Generation** |
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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** |
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Supports **English, German, Persian, French, and Spanish** with language-specific wordlists and keyboard layouts. |
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- **Ethical Safeguard System** |
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Built-in interactive verification to ensure usage is legal and ethical (authorized penetration testing). |
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- **Behavioral Prediction** |
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Uses a `UserBehaviorPredictor` class to understand the security awareness, emotional bias, and cultural context of the user. |
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- **Encrypted Logging** |
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Secure logging of usage data with SHA-256 hashing. |
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- **Leaked Password Transformation** |
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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 |
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git clone https://github.com/ysnrfd/password-list-generator-complete.git |
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cd password-list-generator-complete |
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``` |
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**2. Install dependencies** |
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```bash |
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pip install -r requirements.txt |
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``` |
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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 |
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import nltk |
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nltk.download('wordnet') |
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nltk.download('punkt') |
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``` |
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## π§ Usage |
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**1. Run the tool directly** |
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**Windows:** |
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```python |
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python PLG_ysnrfd.py |
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``` |
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**Linux**: |
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```python |
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python3 PLG_ysnrfd.py |
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``` |
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**2. Analyze the strength of a password** |
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```python |
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from PLG_ysnrfd import PasswordEntropyAnalyzer |
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analyzer = PasswordEntropyAnalyzer(language='en') |
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result = analyzer.analyze_password_patterns("MyP@ssw0rd2024") |
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print(result) |
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``` |
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**3. Generate context-aware passwords** |
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```python |
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from PLG_ysnrfd import ContextualPasswordGenerator |
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user_info = { |
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'first_name': 'Alice', |
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'birth_year': '1995', |
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'pets': ['Luna'], |
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'nationality': 'USA', |
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'language': 'en' |
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} |
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generator = ContextualPasswordGenerator(language='en') |
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passwords = generator._generate_weighted_combinations(user_info, count=10, min_length=8, max_length=16) |
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print(passwords) |
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``` |
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## β οΈ Ethical Disclaimer |
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This tool is strictly for educational and authorized penetration testing. |
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Before usage, the program requires you to accept the Ethical Usage Agreement. |
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Unauthorized use of this tool is illegal and unethical. |
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Always ensure you have explicit written consent before testing any system. |
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## π Project Structure |
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```structure |
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password-list-generator-complete/ |
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βββ PLG_ysnrfd.py |
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βββ requirements.txt |
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βββ README.md |
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``` |
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## π§ Algorithms |
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- **Entropy Calculation** |
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Uses Shannon entropy, keyboard pattern detection, and character frequency analysis to assess password complexity. |
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- **User Behavior Modeling** |
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Predicts password habits based on cultural background, age, pets, children, and emotional factors. |
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- **Context-Aware Password Generation** |
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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.** |
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See the LICENSE file for details. |
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## π€ Author |
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**Developer: YSNRFD** |
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**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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