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Add Proxies and Randomly Select #23

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154e769
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NetSecMike Jul 1, 2024
ed90b86
Update phishkiller.py
NetSecMike Jul 1, 2024
384e00e
Merge branch 'CybrZone:main' into add-proxies
NetSecMike Jul 1, 2024
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19 changes: 17 additions & 2 deletions phishkiller.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,16 +32,31 @@ def generate_random_email():
def generate_random_password():
return ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(8))

import random

def send_posts(url):
with open("proxies.txt", "r") as f:
proxies = f.readlines()

# Remove newline characters from the end of each line
proxies = [p.strip() for p in proxies]

while True:
email = generate_random_email()
password = generate_random_password()
data = {"a": email, "az": password}
ua = UserAgent()
user_agent = ua.random
headers = {'User-Agent': user_agent}
response = requests.post(url, data=data, headers=headers,)
print(f"Email: {email}, Password: {password}, Status Code: {response.status_code}, headers: {user_agent}")

# Select a random proxy from the list
proxy = random.choice(proxies)

# Use the proxy for the request
response = requests.post(url, data=data, headers=headers, proxies={"http": f"http://{proxy}"})

print(f"Email: {email}, Password: {password}, Status Code: {response.status_code}, headers: {user_agent}, Proxy: {proxy}")


def main():
url = input("Enter the URL of the target you want to flood: ")
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27 changes: 27 additions & 0 deletions proxies.txt
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Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
154.203.132.49 8090 1 min ago 2235 ms 43% (7) sc Seychelles Elite
116.63.129.202 6000 1 min ago 1563 ms 86% (7) cn China Elite
189.240.60.166 9090 1 min ago 3108 ms 54% (13) mx Mexico - Mexico City Elite
47.96.176.130 59394 1 min ago 960 ms 23% (9) cn China - Hangzhou Elite
20.205.61.143 8123 1 min ago 2020 ms 84% (6) hk Hong Kong - Hong Kong Elite
64.227.4.244 8888 1 min ago 85 ms 50% (16) us United States - North Bergen Elite
185.241.149.164 8080 1 min ago 487 ms 28% (11) us United States - Dallas Elite
20.24.43.214 80 1 min ago 1084 ms 78% (9) sg Singapore - Singapore Elite
20.206.106.192 80 1 min ago 1268 ms 84% (6) br Brazil - Campinas Elite
3.78.92.159 80 1 min ago 241 ms 88% (8) de Germany - Frankfurt am Main Elite
13.38.176.104 3128 1 min ago 190 ms 88% (8) fr France - Paris Elite
3.123.150.192 3128 1 min ago 237 ms 86% (7) de Germany - Frankfurt am Main Elite
3.37.125.76 3128 1 min ago 390 ms 72% (7) kr South Korea - Incheon Elite
154.16.146.44 80 1 min ago 395 ms 50% (2) us United States - Buffalo Elite
154.203.132.49 8080 2 mins ago 1383 ms 59% (12) sc Seychelles Elite
109.110.162.8 80 2 mins ago 1136 ms 100% (12) hk Hong Kong - Ha Kwai Chung Elite
39.109.113.97 3128 2 mins ago 3257 ms 50% (8) hk Hong Kong Elite
189.240.60.164 9090 2 mins ago 2420 ms 67% (6) mx Mexico - Benito Juarez Elite
24.240.126.108 80 2 mins ago 1145 ms 78% (9) au Australia - Melbourne Elite
111.160.204.146 9091 2 mins ago 1496 ms 54% (13) cn China Elite
125.77.25.178 8090 2 mins ago 1940 ms 88% (8) cn China - Fuzhou Elite
189.240.60.163 9090 2 mins ago 2493 ms 56% (9) mx Mexico - Mexico City Elite
3.126.147.182 80 2 mins ago 228 ms 80% (10) de Germany - Frankfurt am Main Elite
189.240.60.171 9090 2 mins ago 2201 ms 56% (9) mx Mexico - Mexico City Elite
154.203.132.55 8080 3 mins ago 4105 ms 60% (5) sc Seychelles Elite
3.21.101.158 3128 3 mins ago 137 ms 86% (7) us United States - Columbus Elite
3.127.121.101 80 3 mins ago 190 ms 89% (9) de Germany - Frankfurt am Main Elite