https://github.com/robcyberlab/crypt-hash-cracker

🔗Crypt Hash Cracker🧩
https://github.com/robcyberlab/crypt-hash-cracker

crypto-analysis cryptography ctf-tools cyber-programming cyber-tools cybersecurity cybersecurity-tools data-protection ethical-hacking hashing

Last synced: 12 days ago
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🔗Crypt Hash Cracker🧩

• Host: GitHub
• URL: https://github.com/robcyberlab/crypt-hash-cracker
• Owner: RobCyberLab
• Created: 2024-11-23T17:26:33.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-04-05T21:45:05.000Z (21 days ago)
• Last Synced: 2025-04-14T14:14:40.949Z (12 days ago)
• Topics: crypto-analysis, cryptography, ctf-tools, cyber-programming, cyber-tools, cybersecurity, cybersecurity-tools, data-protection, ethical-hacking, hashing
• Language: Python
• Homepage:
• Size: 194 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🔗Crypt Hash Cracker🧩

## Table of Contents

1. [Introduction](#introduction)

2. [Technical Description](#technical-description)

3. [Technologies Used](#technologies-used)

4. [Main Features](#main-features)

5. [Use Cases](#use-cases)

6. [Results and Insights](#results-and-insights)

7. [Possible Improvements](#possible-improvements)

## Introduction📘

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.

## Technical Description⚙️

The Hash Cracker implements several key technical features:

- **Hash Type Detection**: Automatically identifies hash types based on length:

```python

hash_types = {

    32: "MD5",

    40: "SHA1",

    64: "SHA256",

    96: "SHA384",

    128: "SHA512"

}

```

- **Multi-threaded Processing**: Utilizes Python's concurrent.futures for parallel processing:

```python

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:

```python

class RateLimiter:

    def __init__(self, calls: int, period: float):

        self.calls = calls

        self.period = period

        self.timestamps = []

```

## Technologies Used💻

- **Python 3.x**: 

  - Object-oriented programming structure

  - Type hints for better code maintainability

  - Exception handling for robust operation

  

- **Standard Libraries**: 

  - `concurrent.futures` for multi-threading

  - `argparse` for command-line argument parsing

  - `re` for regular expression operations

  

- **File Operations**: 

  - Local file reading and writing

  - Result storage and retrieval

  - Hash pattern matching

## Main Features🌟

- **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

## Use Cases🔍

- **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

## Results and Insights📝

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

## Possible Improvements🚀

- **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