Distributed MD5 Hash Cracker

Overview

This project demonstrates a distributed computing approach to MD5 hash cracking using Python. It features a client-server model to divide and conquer the task of brute-forcing hashes.

Features

• Client-Server Model: Server distributes tasks to connected clients.
• Parallel Processing: Clients utilize all CPU cores for efficient computation.
• MD5 Hash Cracking: Clients brute-force numeric combinations to find a match.
• Dynamic Task Allocation: Workload is divided among clients dynamically.

Technical Highlights

• Multiprocessing: Clients use multiple processes for sub-range computation.
• Distributed Computing: Work is shared across multiple machines.
• Socket Communication: Server-client communication with Python sockets.
• Hashing: MD5 hashing using Python's hashlib.

How It Works

1. Server: Accepts clients, takes target hash and range, distributes tasks, and collects results.
2. Client: Connects to server, processes assigned range, and returns results.

Usage

1. Run the server:

   python Server.py

   Enter number of clients, target MD5 hash, and range.
2. Run the clients:

   python Client.py

3. View results on the server.

Educational Value

This project highlights parallel and distributed computing concepts, socket programming, and MD5 hashing.