Ioncube Decoder Python ⚡

sample_encoded = "SU9OQ1VCRV9NQUdJQ18xMjM0NTY3ODkwMTIzNDU2Nzg5MDEyMzQ1Njc4OTA=" analysis = CodeAnalyzer.analyze_encoding_structure(sample_encoded) print(f"\n📊 Analysis Results:") for key, value in analysis.items(): print(f" • {key}: {value}")

print("=" * 60) print("IONCube-Style Encoding Demonstrator") print("Educational Tool - Understanding Encoding Layers") print("=" * 60) ioncube decoder python

def __init__(self, key: str = "demo_key_2024"): self.key = key self.encoding_layers = [] def encode_payload(self, data: str, layers: int = 3) -> str: """ Apply multiple encoding layers to simulate ionCube-style encoding """ current = data self.encoding_layers = [] for i in range(layers): # Layer 1: Base64 current = base64.b64encode(current.encode()).decode() self.encoding_layers.append("base64") # Layer 2: XOR with key (simple obfuscation) if i % 2 == 0: current = self._xor_obfuscate(current) self.encoding_layers.append("xor") # Layer 3: Compression if i == layers - 1: current = base64.b64encode( zlib.compress(current.encode(), level=9) ).decode() self.encoding_layers.append("zlib+base64") # Add magic header (simulates ionCube header) magic = self._generate_magic_header() return magic + current layers: int = 3) -&gt

# Create encoder encoder = IONCubeStyleDecoder(key="demo_secret_2024") ioncube decoder python