File size: 4,612 Bytes
2f3c093 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | 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
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