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This tool evaluates the strength of passwords using advanced metrics such as entropy, length, and complexity. It is designed to provide actionable feedback, suggest improvements, and identify vulnerabilities such as common patterns or dictionary-based words. Whether for personal use or enterprise security enhancements, this analyzer ensures a comprehensive assessment of password strength.
Entropy Calculation
Measures the randomness of passwords to ensure they are hard to guess or crack.
Length and Complexity Checks
Evaluates password length and ensures inclusion of uppercase letters, lowercase letters, numbers, and special characters.
Pattern Detection
Identifies common patterns, such as sequences or keyboard adjacency, that weaken security.
Dictionary Attack Analysis
Flags passwords containing dictionary words or predictable combinations.
Feedback and Suggestions
Provides detailed feedback on detected weaknesses and offers actionable suggestions for stronger passwords.
Customizable Rules
Allows users to define custom strength criteria tailored to their specific needs.
Enterprise-Ready
Ideal for integration into organizational systems to enforce password policies.
System Requirements
Python Libraries
numpy
(for entropy calculations)re
(for regex-based pattern detection)argparse
(for command-line integration)json
or yaml
(for custom configuration files)Installation
bash
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git clone https://github.com/username/password-analyzer.git cd password-analyzer
bash
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pip install -r requirements.txt
Usage
Command-Line Mode
Analyze a password directly from the terminal:
bash
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python analyzer.py --password "YourPassword123!"
Example Output:
vbnet
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Strength: Weak Issues: - Contains common patterns. - Low entropy (28 bits). Suggestions: - Use a longer password with more special characters.
Batch Mode
Analyze passwords from a file:
bash
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python analyzer.py --file passwords.txt
Custom Configuration
Use a custom rules file (e.g., rules.json
):
bash
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python analyzer.py --config rules.json
Testing
Run the built-in test cases to ensure the analyzer is functioning correctly:
bash
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python -m unittest tests/test_analyzer.py
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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