IPAbuseChecker0x/IPAbuseChecker0x.py at main · corvus0x/IPAbuseChecker0x · GitHub

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
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
import requests
import csv
import concurrent.futures
from tqdm import tqdm
from tabulate import tabulate
from colorama import Fore, Style
import pycountry
import sys
from datetime import datetime

# Define the AbuseIPDB API key
API_KEY = 'YOUR_API_KEY'

# Check if API_KEY is set
if API_KEY == "YOUR_API_KEY":
    print(f"{Fore.RED}Error: Please insert your AbuseIPDB API Key in the API_KEY variable.{Style.RESET_ALL}")
    sys.exit(1)

# Base API URL
API_URL = 'https://api.abuseipdb.com/api/v2/check'

# Application logo
def print_logo():
    logo = r"""
    ________     ___    __                       ________              __                ____
   /  _/ __ \   /   |  / /_  __  __________     / ____/ /_  ___  _____/ /_____  _____   / __ \_  __
   / // /_/ /  / /| | / __ \/ / / / ___/ _ \   / /   / __ \/ _ \/ ___/ //_/ _ \/ ___/  / / / / |/_/
 _/ // ____/  / ___ |/ /_/ / /_/ (__  )  __/  / /___/ / / /  __/ /__/ ,< /  __/ /     / /_/ />  <
/___/_/      /_/  |_/_.___/\__,_/____/\___/   \____/_/ /_/\___/\___/_/|_|\___/_/      \____/_/|_|
    by corvus0x
    """
    print(Fore.CYAN + logo + Style.RESET_ALL)

# Function to fetch IP information from AbuseIPDB API
def get_ip_info(ip):
    headers = {
        'Key': API_KEY,
        'Accept': 'application/json'
    }
    params = {
        'ipAddress': ip,
        'maxAgeInDays': '360'
    }
    try:
        response = requests.get(API_URL, headers=headers, params=params)

        if response.status_code == 200:
            return response.json()['data']
        else:
            print(f"Error fetching information for IP {ip}: {response.status_code}")
            return None
    except Exception as e:
        print(f"Error processing IP {ip}: {e}")
        return None

# Function to process an IP and return the required data
def process_ip(ip):
    ip_info = get_ip_info(ip)
    if ip_info:
        country_name = pycountry.countries.get(alpha_2=ip_info['countryCode']).name if ip_info['countryCode'] else 'Unknown'
        last_reported = ip_info['lastReportedAt']
        formatted_date = datetime.strptime(last_reported, "%Y-%m-%dT%H:%M:%S%z").strftime("%d-%b-%Y %H:%M UTC") if last_reported else 'No reports'
        return [
            ip_info['ipAddress'],
            ip_info['abuseConfidenceScore'],
            ip_info['isp'],
            ip_info['domain'],
            country_name,
            ip_info['totalReports'],
            ip_info.get('isWhitelisted', 'N/A'),
            ip_info.get('isTor', 'N/A'),
            formatted_date
        ]
    return None

# Function to generate an HTML report
def generate_html_report(results, summary, output_html):
    html_content = f"""
    <!DOCTYPE html>
    <html lang="en">
    <head>
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>IPAbuseChecker0x Report</title>
        <style>
            body {{ font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; margin: 0; padding: 20px; background-color: #f4f4f9; color: #333; }}
            h1 {{
                color: #444;
                text-align: center;
                margin-top: 20px;
                font-size: 48px;
                font-weight: 900;
            }}
            h1::after {{
                content: '';
                display: block;
                width: 50px;
                margin: 10px auto;
                border-bottom: 3px solid #444;
            }}
            h2 {{ color: #333; margin-top: 30px; font-size: 24px; padding: 10px; }}
            .info-section, .tor-section, .non-tor-section {{
                width: 90%;
                margin: 30px auto;
                padding: 20px;
                border-radius: 8px;
                box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
                background-color: white;
            }}
            .info-section {{
                background-color: #f8f9fa;
                border-left: 5px solid #007bff;
            }}
            .tor-section {{
                border-left: 5px solid #dc3545;
            }}
            .non-tor-section {{
                border-left: 5px solid #28a745;
            }}
            table {{ width: 100%; border-collapse: collapse; margin-top: 20px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); }}
            th, td {{ border: 1px solid #ddd; padding: 12px; text-align: center; }}
            th {{ background-color: #000; color: #fff; font-size: 18px; }}
            td {{ font-size: 16px; color: #444; }}
            .high-risk {{ background-color: #ffdddd; color: black; }}
            .medium-risk {{ background-color: #fff5cc; color: black; }}
            .low-risk {{ background-color: #ddffdd; color: black; }}
            .tor {{ font-weight: bold; }}
            .highlight {{ background-color: #ffff99; }}
        </style>
    </head>
    <body>
        <h1>IPAbuseChecker0x Report</h1>

        <div class="info-section">
            <h2>Report Overview</h2>
            <p><strong>Total IPs Analyzed:</strong> {summary['total']}</p>
            <p><strong>🔴 High Risk IPs (>40 confidence):</strong> {summary['high_risk']}</p>
            <p><strong>🟠 Medium Risk IPs (1-39 confidence):</strong> {summary['medium_risk']}</p>
            <p><strong>🟢 Informational (0 confidence):</strong> {summary['low_risk']}</p>
            {"<p class='highlight'><strong>TOR Nodes:</strong> " + str(summary['tor']) + "</p>" if summary['tor'] > 0 else "<p><strong>TOR Nodes:</strong> " + str(summary['tor']) + "</p>"}
        </div>

        <table>
            <tr>
                <th>IP Address</th>
                <th>Abuse Confidence</th>
                <th>ISP</th>
                <th>Domain</th>
                <th>Country</th>
                <th>Total Reports</th>
                <th>Is Whitelisted</th>
                <th>Is TOR</th>
                <th>Last Reported</th>
            </tr>
    """

    # Sort results to have TOR nodes first, then by Abuse Confidence in descending order
    results.sort(key=lambda x: (not x[7], -x[1]))

    for row in results:
        risk_class = "high-risk" if row[1] > 40 else "medium-risk" if row[1] > 0 else "low-risk"
        tor_status = "✅" if row[7] == True else "❌"
        html_content += f"""
        <tr class="{risk_class}">
            <td>{row[0]}</td>
            <td>{row[1]}</td>
            <td>{row[2]}</td>
            <td>{row[3]}</td>
            <td>{row[4]}</td>
            <td>{row[5]}</td>
            <td>{row[6]}</td>
            <td class="tor">{tor_status}</td>
            <td>{row[8]}</td>
        </tr>
        """

    html_content += """</table></body></html>"""

    with open(output_html, "w", encoding="utf-8") as f:
        f.write(html_content)

# Function to read IPs from a file and process them in parallel
def process_ips(input_file, output_csv, output_html):
    print_logo()

    with open(input_file, 'r') as f:
        ips = [line.strip() for line in f.readlines()]

    results = []
    summary = {"total": len(ips), "high_risk": 0, "medium_risk": 0, "low_risk": 0, "tor": 0}

    with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
        for result in tqdm(executor.map(process_ip, ips), total=len(ips), desc="Processing IPs"):
            if result:
                results.append(result)
                if result[1] > 40:
                    summary["high_risk"] += 1
                elif result[1] > 0:
                    summary["medium_risk"] += 1
                else:
                    summary["low_risk"] += 1
                if result[7] == True:
                    summary["tor"] += 1

    with open(output_csv, 'w', newline='', encoding='utf-8') as csvfile:
        writer = csv.writer(csvfile)
        writer.writerow(["IP", "Confidence", "ISP", "Domain", "Country", "Reports", "Whitelisted", "TOR", "Last Report"])
        writer.writerows(results)

    generate_html_report(results, summary, output_html)

    # Display the classification summary in console
    classification_summary = [
        (f"{Fore.RED}TOP Critical (>40 confidence){Style.RESET_ALL}", summary["high_risk"], f"{Fore.YELLOW}{summary['tor']}{Style.RESET_ALL}" if summary["high_risk"] > 0 else "-"),
        (f"{Fore.YELLOW}TOP Medium (1-39 confidence){Style.RESET_ALL}", summary["medium_risk"], "-"),
        (f"{Fore.GREEN}Informational (0 confidence){Style.RESET_ALL}", summary["low_risk"], "-")
    ]

    print("\nIP Classification Summary:")
    print(tabulate(classification_summary, headers=["Category", "Number of IPs", "TOR Nodes"], tablefmt="fancy_grid"))
    print(f"\nTotal analyzed IPs: {summary['total']}")

    # Final message
    print(f"\n{Fore.GREEN}Report saved in {Fore.LIGHTYELLOW_EX}{output_html}{Fore.GREEN} and Data saved in {Fore.LIGHTYELLOW_EX}{output_csv}{Style.RESET_ALL}")

# Execute processing
process_ips('ips.txt', 'results_IPAbuseChecker0x.csv', 'report_IPAbuseChecker0x.html')