- Introduction
- Technical Description
- Technologies Used
- Main Features
- Use Cases
- Results and Insights
- Possible Improvements
The Hash Cracker Tool is a command-line application designed for hash analysis and cracking. It supports multiple hash types (MD5, SHA1, SHA256, SHA384, SHA512) and utilizes multi-threading for efficient processing. This tool is particularly useful for password recovery, security testing, and educational purposes in understanding hash functions and cryptography.
The Hash Cracker implements several key technical features:
- Hash Type Detection: Automatically identifies hash types based on length:
hash_types = {
32: "MD5",
40: "SHA1",
64: "SHA256",
96: "SHA384",
128: "SHA512"
}
- Multi-threaded Processing: Utilizes Python's concurrent.futures for parallel processing:
with concurrent.futures.ThreadPoolExecutor(max_workers=args.threads) as executor:
future_to_hash = {executor.submit(cracker.crack_hash, h): h for h in hashes}
- Rate Limiting: Implements a custom rate limiter to prevent service overload:
class RateLimiter:
def __init__(self, calls: int, period: float):
self.calls = calls
self.period = period
self.timestamps = []
-
Python 3.x:
- Object-oriented programming structure
- Type hints for better code maintainability
- Exception handling for robust operation
-
Standard Libraries:
concurrent.futures
for multi-threadingargparse
for command-line argument parsingre
for regular expression operations
-
File Operations:
- Local file reading and writing
- Result storage and retrieval
- Hash pattern matching
-
Multiple Hash Support:
- MD5 (32 characters)
- SHA1 (40 characters)
- SHA256 (64 characters)
- SHA384 (96 characters)
- SHA512 (128 characters)
-
Processing Options:
- Single hash processing
- Bulk file processing
- Multi-threaded operation
- Verbose output mode
-
User Experience:
- Colored output for better readability
- Progress tracking
- Success rate calculation
- Detailed error reporting
-
Security Testing:
- Password recovery
- Hash analysis
- Security audit support
-
Educational Purposes:
- Understanding hash functions
- Learning about cryptography
- Studying password security
-
Development Support:
- Testing hash implementations
- Debugging hash-related issues
- Performance benchmarking
Key learnings from the development process:
-
Performance Optimization:
- Multi-threading importance
- Rate limiting necessity
- File I/O optimization
-
Hash Processing:
- Pattern recognition
- Type identification
- Result validation
-
Error Handling:
- File access issues
- Invalid hash formats
- Network timeouts
-
Enhanced Functionality:
- Additional hash algorithms support
- Rainbow table integration
- GPU acceleration
- Online API integration
-
User Interface:
- GUI implementation
- Web interface
- Progress bars
- Real-time statistics
-
Performance Improvements:
- Optimized hash detection
- Improved threading model
- Memory usage optimization
- Caching system
-
Additional Features:
- Custom wordlist support
- Hash generation capabilities
- Result export formats
- Password pattern analysis