Distributed Wpa Psk - Auditor

import redis r = redis.Redis() handshake = load_handshake("capture.cap") wordlist = load_wordlist("rockyou.txt") for chunk in chunks(wordlist, 10000): r.lpush("wpa_tasks", chunk) r.hset("chunk_status", chunk.id, "pending")

If you’ve ever performed a wireless security assessment, you know the frustration. You’ve captured the WPA 4-way handshake. You have the .cap file. Now comes the waiting game.

"chunk_id": 4421, "found": "password123", "pmk": "hex_pmk", "worker_id": "gpu-rack-03" Distributed Wpa Psk Auditor

"chunk_id": 4421, "start": "aaaaaaa", "end": "aaaaaaz", "ssid": "HomeNetwork", "handshake_m1": "base64_encoded_data", "handshake_m2": "base64_encoded_data"

The solution?

For most red-team operations, a 5-node GPU cluster is sufficient to exhaust an 8-character alphanumeric space in under 48 hours. For blue teams, this same tool can prove why “complexity requirements” without length are useless (looking at you, P@ssw0rd! ).

WPA-PSK (Pre-Shared Key) security relies on PBKDF2-SHA1. To check a single password, the CPU/GPU must perform 4,096 HMAC-SHA1 iterations. One machine, even with a high-end GPU, can only guess about 300k–1M passwords per second against WPA2. Against an 8-character complex password (95^8 possibilities), that’s centuries. import redis r = redis

[ Master Node ] | |-- Distributes candidate ranges |-- Manages handshake & PMK state | [ Worker 1 ] [ Worker 2 ] [ Worker N ] (GPU rig) (CPU pool) (Cloud spot) Since PBKDF2-SHA1(PSK, SSID) is computationally heavy, we can precompute the Pairwise Master Key for each candidate on the master or cache it. Better yet, each worker builds a local PMK table for its candidate chunk.

Why wait weeks for a single GPU when you can harness a cluster? Now comes the waiting game