Making a ai that cracks wifi passwords import random import wave import struct import numpy as np import pyaudio import time import os from collections import defaultdict from difflib import SequenceMatcher import sounddevice as sd import soundfile as sf import speech_recognition as sr from gtts import gTTS import pygame import hashlib
class AIPasswordEnhancer: def init(self): # Initialize components self.recognizer = sr.Recognizer() self.microphone = sr.Microphone() self.password_freq = defaultdict(int) self.pattern_db = defaultdict(list) self.load_rockyou() self.setup_audio()
# AI learning parameters
self.learning_rate = 0.1
self.creativity = 0.7
self.mutation_rate = 0.3
# Audio parameters
self.sample_rate = 44100
self.duration = 1.0
self.freq_low = 200
self.freq_high = 2000
# Conversation state
self.conversation_mode = "english" # or "nonhuman"
self.last_input = ""
print("AI Password Dictionary Enhancer initialized. Ready to communicate.")
def load_rockyou(self):
"""Load the rockyou.txt password dictionary"""
try:
with open("rockyou.txt", "r", encoding='latin-1') as f:
self.base_passwords = [line.strip() for line in f.readlines()]
for pw in self.base_passwords:
self.password_freq[pw] += 1
self.analyze_pattern(pw)
print(f"Loaded {len(self.base_passwords)} base passwords.")
except FileNotFoundError:
print("rockyou.txt not found in current directory.")
self.base_passwords = []
def analyze_pattern(self, password):
"""Analyze patterns in passwords for generation"""
if len(password) < 3:
return
# Analyze character transitions
for i in range(len(password)-1):
current_char = password[i]
next_char = password[i+1]
self.pattern_db[current_char].append(next_char)
def generate_password(self):
"""Generate a new password based on learned patterns"""
if not self.pattern_db:
return random.choice(self.base_passwords) if self.base_passwords else "password123"
# Start with a random character that has patterns
current_char = random.choice(list(self.pattern_db.keys()))
password = [current_char]
# Build password using Markov chain
for _ in range(random.randint(6, 15)):
if current_char in self.pattern_db and random.random() > self.creativity:
next_char = random.choice(self.pattern_db[current_char])
password.append(next_char)
current_char = next_char
else:
# Add some randomness
new_char = chr(random.randint(33, 126))
password.append(new_char)
current_char = new_char
# Sometimes mutate the password
if random.random() < self.mutation_rate:
password = self.mutate_password(''.join(password))
return ''.join(password)
def mutate_password(self, password):
"""Apply mutations to a password"""
mutations = [
lambda s: s + str(random.randint(0, 999)),
lambda s: s[::-1],
lambda s: s.upper(),
lambda s: s.lower(),
lambda s: s + random.choice(['!', '@', '#', '$', '%']),
lambda s: s.replace('e', '3').replace('a', '@').replace('o', '0'),
lambda s: hashlib.md5(s.encode()).hexdigest()[:8]
]
return random.choice(mutations)(password)
def setup_audio(self):
"""Initialize audio components"""
self.py_audio = pyaudio.PyAudio()
pygame.mixer.init()
def generate_tone(self, frequency, duration):
"""Generate a sine wave tone"""
samples = (np.sin(2 * np.pi * np.arange(self.sample_rate * duration) * frequency / self.sample_rate)).astype(np.float32)
return samples
def play_nonhuman_sound(self, text):
"""Convert text to non-human readable sound"""
# Create a unique hash from the text
text_hash = hashlib.sha256(text.encode()).hexdigest()
# Convert hash to sound frequencies
sounds = []
for i in range(0, len(text_hash), 4):
hex_chunk = text_hash[i:i+4]
freq = int(hex_chunk, 16) % 4000 + 100 # Between 100-4100 Hz
duration = 0.1 + (int(hex_chunk[0], 16)/16) * 0.2 # 0.1-0.3 sec
# Alternate between high and low frequency
if i % 8 < 4:
freq = max(100, freq // 2) # Low frequency
else:
freq = min(4000, freq * 1.5) # High frequency
tone = self.generate_tone(freq, duration)
sounds.append(tone)
# Combine all tones
combined = np.concatenate(sounds)
sd.play(combined, self.sample_rate)
sd.wait()
def text_to_speech(self, text):
"""Convert text to speech using gTTS"""
tts = gTTS(text=text, lang='en')
tts.save("response.mp3")
pygame.mixer.music.load("response.mp3")
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
time.sleep(0.1)
def listen_to_speech(self):
"""Listen to user speech and convert to text"""
with self.microphone as source:
print("Listening...")
self.recognizer.adjust_for_ambient_noise(source)
audio = self.recognizer.listen(source)
try:
text = self.recognizer.recognize_google(audio)
print(f"You said: {text}")
return text.lower()
except sr.UnknownValueError:
print("Could not understand audio")
return ""
except sr.RequestError:
print("API unavailable")
return ""
def process_command(self, command):
"""Process user commands"""
self.last_input = command
# Toggle conversation mode
if "switch to non human" in command:
self.conversation_mode = "nonhuman"
return "Switching to non-human communication mode"
elif "switch to english" in command:
self.conversation_mode = "english"
return "Switching to English communication mode"
# Learning commands
elif "this is a good password" in command:
# Extract the password (simplified)
words = command.split()
for word in words:
if word.isalnum() and len(word) > 4 and not word.isnumeric():
self.password_freq[word] += 1
self.analyze_pattern(word)
return f"Learned password: {word}. Frequency increased."
return "Could not identify password to learn."
elif "generate password" in command:
new_pw = self.generate_password()
return f"Generated password: {new_pw}"
elif "analyze similarity" in command:
if self.last_input:
sample = ' '.join(command.split()[2:])
similarity = SequenceMatcher(None, self.last_input, sample).ratio()
return f"Similarity between inputs: {similarity:.2f}"
return "No previous input to compare with"
elif "exit" in command or "quit" in command:
return "exit"
return f"I received your command: {command}. How can I improve the password dictionary?"
def communicate(self):
"""Main communication loop"""
while True:
if self.conversation_mode == "english":
# English mode - voice interaction
command = self.listen_to_speech()
if not command:
continue
response = self.process_command(command)
if response == "exit":
print("Exiting...")
break
self.text_to_speech(response)
print(f"AI: {response}")
else:
# Non-human mode - sound interaction
print("Waiting for audio input...")
time.sleep(2) # Simulate listening
# Generate a response (simulated)
response = self.generate_password() + str(random.randint(0, 9999))
print(f"AI generated password: {response}")
self.play_nonhuman_sound(response)
# Occasionally switch back to English
if random.random() < 0.2:
self.conversation_mode = "english"
self.text_to_speech("Switching back to English for clarification")
if name == "main": ai = AIPasswordEnhancer() ai.communicate()
python --version
pip --version
pip install numpy pyaudio sounddevice soundfile SpeechRecognition gTTS pygame
pip install pipwin pipwin install pyaudio
python ai_password_enhancer.py
sudo apt update && sudo apt install python3 python3-pip
sudo apt install portaudio19-dev python3-dev libasound2-dev ffmpeg pip3 install numpy pyaudio sounddevice soundfile SpeechRecognition gTTS pygame
sudo gunzip /usr/share/wordlists/rockyou.txt.gz cp /usr/share/wordlists/rockyou.txt ~/ai_password_enhancer/
python3 ai_password_enhancer.py
⚜️Troubleshooting⚜️
| Issue | Solution |
|---|---|
pyaudio fails (Windows) |
Use pipwin install pyaudio |
| PortAudio errors (Linux) | Install portaudio19-dev |
| Microphone not detected | Check permissions (Linux: sudo usermod -aG audio $USER) |
gTTS API blocked (Linux) |
Use a VPN or proxy |
rockyou.txt missing |
Download from Kali or SecLists |
import glob # Add this import at the top
class AIPasswordEnhancer: def init(self): # ... existing init code ... self.downloads_path = os.path.join(os.path.expanduser('~'), 'Downloads')
# ... existing methods ...
def find_pcap_files(self):
"""Find all PCAP files in downloads directory"""
pcap_files = []
for ext in ('*.pcap', '*.pcapng'):
pcap_files.extend(glob.glob(os.path.join(self.downloads_path, ext)))
return [os.path.basename(f) for f in pcap_files]
def process_command(self, command):
"""Process user commands"""
self.last_input = command
# Add new PCAP command handler
if "pcap" in command and ("grab" in command or "collect" in command):
pcap_files = self.find_pcap_files()
if pcap_files:
return f"Found {len(pcap_files)} PCAP files: {', '.join(pcap_files[:3])}" + \
(" and more..." if len(pcap_files) > 3 else "")
return "No PCAP files found in Downloads directory"
# ... rest of existing command processing ...
if you want the rest of it it cost money because it is illegal to crack wifi passwords