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ghdb_scraper.py
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#!/usr/bin/env python
# Standard Python libraries.
import argparse
import json
import urllib3
# Third party Python libraries.
from bs4 import BeautifulSoup
import requests
# Custom Python libraries.
__version__ = "1.1.0"
"""
Dork dictionary example:
{
"id": "2",
"date": "2003-06-24",
"url_title": "<a href='/ghdb/2'>intitle: 'Ganglia 'Cluster Report for'</a>",
"cat_id": [
"8",
"Files Containing Juicy Info"
],
"author_id": [
"2168",
"anonymous"
],
"author": {
"id": "2168",
"name": "anonymous"
},
"category": {
"cat_id": "8",
"cat_title": "Files Containing Juicy Info",
"cat_description": "No usernames or passwords, but interesting stuff none the less.",
"last_update": "2020-06-12",
"records_count": "845",
"porder": 0
}
}
"""
def retrieve_google_dorks(
save_json_response_to_file=False, save_all_dorks_to_file=False, save_individual_categories_to_files=False
):
"""Retrieves all google dorks from https://www.exploit-db.com/google-hacking-database and optionally, writes the
entire json response to a .json file, all the dorks to a file, and/or the individual dork categories to a file. A
dictionary is returned containing the total_dorks, a list of extracteddorks, and a category dictionary.
"""
url = "https://www.exploit-db.com/google-hacking-database"
headers = {
"Accept": "application/json, text/javascript, */*; q=0.01",
"Accept-Encoding": "deflate, gzip, br",
"Accept-Language": "en-US",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Firefox/60.0",
"X-Requested-With": "XMLHttpRequest",
}
print(f"[+] Requesting URL: {url}")
try:
response = requests.get(
url,
headers=headers,
timeout=10,
)
except requests.exceptions.SSLError:
requests.packages.urllib3.disable_warnings()
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
response = requests.get(
url,
headers=headers,
timeout=10,
verify=False,
)
if response.status_code != 200:
print(f"[-] Error retrieving google dorks from: {url}")
return
# Extract json data.
json_response = response.json()
# Extract recordsTotal and data.
total_dorks = json_response["recordsTotal"]
json_dorks = json_response["data"]
# List to track all the dorks.
extracted_dorks = []
# Dictionary to organize the dorks by category.
category_dict = {}
# Loop through dorks, collecting and organizing them.
for dork in json_dorks:
# Extract dork from <a href> using BeautifulSoup.
# "<a href=\"/ghdb/5052\">inurl:_cpanel/forgotpwd</a>"
soup = BeautifulSoup(dork["url_title"], "html.parser")
# Some of the URL titles have trailing tabs, remove them.
extracted_dork = soup.find("a").contents[0].strip()
extracted_dorks.append(extracted_dork)
# For individual categories.
# Cast numeric_category_id as integer for sorting later.
numeric_category_id = int(dork["category"]["cat_id"])
category_name = dork["category"]["cat_title"]
# Create an empty list for each category if it doesn't already exist.
if numeric_category_id not in category_dict:
category_dict[numeric_category_id] = {"category_name": category_name, "dorks": []}
# Some of the URL titles have trailing tabs, use replace() to remove it in place. The strip() method cannot be
# used because the tab is not at the end of the string, but between the <a> tags instead:
# <a href="/ghdb/2696">"Powered by Rock Band CMS 0.10" </a>
dork["url_title"] = dork["url_title"].replace("\t", "")
category_dict[numeric_category_id]["dorks"].append(dork)
# If requested, break up dorks into individual files based off category.
if save_individual_categories_to_files:
# Sort category_dict based off the numeric keys.
category_dict = dict(sorted(category_dict.items()))
for key, value in category_dict.items():
# Provide some category metrics.
print(f"[*] Category {key} ('{value['category_name']}') has {len(value['dorks'])} dorks")
dork_file_name = value["category_name"].lower().replace(" ", "_")
full_dork_file_name = f"dorks/{dork_file_name}.dorks"
print(f"[*] Writing dork category '{value['category_name']}' to file: {full_dork_file_name}")
with open(f"{full_dork_file_name}", "w", encoding="utf-8") as fh:
for dork in value["dorks"]:
# Extract dork from <a href> using BeautifulSoup.
# "<a href=\"/ghdb/5052\">inurl:_cpanel/forgotpwd</a>"
soup = BeautifulSoup(dork["url_title"], "html.parser")
# Some of the URL titles have trailing tabs, remove them.
extracted_dork = soup.find("a").contents[0].strip()
fh.write(f"{extracted_dork}\n")
# Save GHDB json object to all_google_dorks.json.
if save_json_response_to_file:
google_dork_json_file = "all_google_dorks.json"
print(f"[*] Writing all dorks to JSON file: {google_dork_json_file}")
with open(f"dorks/{google_dork_json_file}", "w", encoding="utf-8") as json_file:
json.dump(json_dorks, json_file)
# Save all dorks to all_google_dorks.txt.
if save_all_dorks_to_file:
google_dork_file = "all_google_dorks.txt"
print(f"[*] Writing all dorks to txt file: dorks/{google_dork_file}")
with open(f"dorks/{google_dork_file}", "w", encoding="utf-8") as fh:
for dork in extracted_dorks:
fh.write(f"{dork}\n")
print(f"[*] Total Google dorks retrieved: {total_dorks}")
# Package up a nice dictionary to return.
# fmt: off
ghdb_dict = {
"total_dorks": total_dorks,
"extracted_dorks": extracted_dorks,
"category_dict": category_dict,
}
# fmt: on
return ghdb_dict
if __name__ == "__main__":
categories = {
1: "Footholds",
2: "File Containing Usernames",
3: "Sensitives Directories",
4: "Web Server Detection",
5: "Vulnerable Files",
6: "Vulnerable Servers",
7: "Error Messages",
8: "File Containing Juicy Info",
9: "File Containing Passwords",
10: "Sensitive Online Shopping Info",
11: "Network or Vulnerability Data",
12: "Pages Containing Login Portals",
13: "Various Online devices",
14: "Advisories and Vulnerabilities",
}
epilog = f"Dork categories:\n\n{json.dumps(categories, indent=4)}"
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
description=(
f"GHDB Scraper v{__version__} - Retrieve Google Hacking Database dorks from "
"https://www.exploit-db.com/google-hacking-database."
),
epilog=epilog,
)
parser.add_argument(
"-i",
dest="save_individual_categories_to_files",
action="store_true",
default=False,
help="Write all the individual dork categories types to separate files.",
)
parser.add_argument(
"-j",
dest="save_json_response_to_file",
action="store_true",
default=False,
help="Save GHDB json response to all_google_dorks.json",
)
parser.add_argument(
"-s",
dest="save_all_dorks_to_file",
action="store_true",
default=False,
help="Save all the Google dorks to all_google_dorks.txt",
)
args = parser.parse_args()
retrieve_google_dorks(**vars(args))