from cryptography.fernet import Fernet
import random
import string
from scipy.optimize import minimize

class ExploitPayloads:
    def __init__(self):
        self.encryption_key = Fernet.generate_key()
        self.cipher = Fernet(self.encryption_key)

    def generate_payload(self, target, payload_type="polymorphic"):
        """
        Generate an exploit payload for the given target.

        Args:
            target (str): The target system or application to exploit.
            payload_type (str): The type of payload to generate. Options are "polymorphic", "encrypted", "specific_vulnerability".

        Returns:
            str: The generated exploit payload.
        """
        payload = f"Exploit payload for {target}"

        if payload_type == "polymorphic":
            payload = self.polymorphic_payload(payload)
        elif payload_type == "encrypted":
            payload = self.encrypted_payload(payload)
        elif payload_type == "specific_vulnerability":
            payload = self.specific_vulnerability_payload(payload)
        elif payload_type == "hak5_ducky_script":
            payload = self.generate_hak5_payload(payload)
        elif payload_type == "pegasus_forcedentry":
            payload = self.generate_pegasus_forcedentry_payload(payload)
        else:
            print(f"Unknown payload type: {payload_type}")

        return payload

    def polymorphic_payload(self, payload):
        polymorphic_payload = ''.join(random.choices(string.ascii_letters + string.digits, k=len(payload)))
        return f"Polymorphic {polymorphic_payload}"

    def encrypted_payload(self, payload):
        return self.cipher.encrypt(payload.encode()).decode()

    def specific_vulnerability_payload(self, payload):
        specific_payload = f"{payload} with specific vulnerability exploit"
        return specific_payload

    def generate_hak5_payload(self, payload):
        ducky_script = f"DELAY 500\nSTRING {payload}\nENTER"
        encrypted_payload = self.encrypted_payload(ducky_script)
        obfuscated_payload = self.obfuscate_payload(encrypted_payload)
        return obfuscated_payload

    def generate_pegasus_forcedentry_payload(self, payload):
        forcedentry_payload = f"{payload} with Pegasus ForcedEntry exploit"
        return forcedentry_payload

    def obfuscate_payload(self, payload):
        obfuscated_payload = ''.join(random.choices(string.ascii_letters + string.digits, k=len(payload)))
        return f"Obfuscated {obfuscated_payload}"

    def integrate_with_new_components(self, new_component_data):
        integrated_payload = self.generate_payload(new_component_data["target"], new_component_data["payload_type"])
        return integrated_payload

    def ensure_compatibility(self, existing_payload, new_component_data):
        existing_payload = self.generate_payload(existing_payload["target"], existing_payload["payload_type"])
        new_payload = self.generate_payload(new_component_data["target"], new_component_data["payload_type"])
        return existing_payload, new_payload

    def add_evasion_techniques(self, payload):
        evasion_payload = f"{payload} with evasion techniques"
        return evasion_payload

    def implement_code_obfuscation(self, payload):
        obfuscated_payload = ''.join(random.choices(string.ascii_letters + string.digits, k=len(payload)))
        return f"Obfuscated {obfuscated_payload}"

    def implement_anti_debugging(self, payload):
        anti_debugging_payload = f"{payload} with anti-debugging methods"
        return anti_debugging_payload

    def optimize_exploitation_techniques(self, objective_function, bounds, n_iterations=100):
        result = minimize(objective_function, bounds, method='L-BFGS-B', options={'maxiter': n_iterations})
        return result

    def test_optimized_payloads(self, payloads, target):
        success_rates = []
        for payload in payloads:
            success_rate = self.evaluate_payload_success(payload, target)
            success_rates.append(success_rate)
        return success_rates

    def evaluate_payload_success(self, payload, target):
        success_rate = random.uniform(0, 1)
        return success_rate

    def fine_tune_optimization(self, objective_function, bounds, n_iterations=100):
        result = self.optimize_exploitation_techniques(objective_function, bounds, n_iterations)
        return result

    def integrate_optimized_techniques(self, optimized_payloads):
        integrated_payloads = [self.add_evasion_techniques(payload) for payload in optimized_payloads]
        return integrated_payloads