RISHIT JARIWALA

1import socket
2import sys
3from concurrent.futures import ThreadPoolExecutor
4
5class CactusScanner:
6    def __init__(self, target_ip, ports=[21, 22, 80, 443, 445, 3306, 8080]):
7        self.target_ip = target_ip
8        self.ports = ports
9        self.open_ports = []
10
11    def scan_port(self, port):
12        try:
13            sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
14            sock.settimeout(1.5)
15            result = sock.connect_ex((self.target_ip, port))
16            if result == 0:
17                self.open_ports.append(port)
18                print(f"[+] Port {port}: OPEN")
19            sock.close()
20        except Exception as e:
21            pass
22
23    def run(self):
24        print(f"[*] Starting Cactus Rogers Security Scan on {self.target_ip}...")
25        with ThreadPoolExecutor(max_workers=10) as executor:
26            executor.map(self.scan_port, self.ports)
27        print(f"[+] Scan Complete. Open Ports: {self.open_ports}")
28
29if __name__ == "__main__":
30    scanner = CactusScanner("127.0.0.1")
31    scanner.run()

1import pandas as pd
2import numpy as np
3from sklearn.model_selection import train_test_split
4from sklearn.ensemble import RandomForestClassifier
5from sklearn.metrics import classification_report
6
7def train_datathon_pipeline(data_path):
8    df = pd.read_csv(data_path)
9    df.fillna(df.median(numeric_only=True), inplace=True)
10    
11    X = df.drop(columns=['target'])
12    y = df['target']
13    
14    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
15    
16    clf = RandomForestClassifier(n_estimators=100, random_state=42)
17    clf.fit(X_train, y_train)
18    
19    preds = clf.predict(X_test)
20    print(classification_report(y_test, preds))
21    return clf