HELK/docker/helk-jupyter/notebooks/sigma/win_pass_the_hash.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pass the Hash Activity\n",
    "Detects the attack technique pass the hash which is used to move laterally inside the network"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Pass the Hash Activity\n",
    "  id: f8d98d6c-7a07-4d74-b064-dd4a3c244528\n",
    "  status: experimental\n",
    "  description: Detects the attack technique pass the hash which is used to move laterally\n",
    "    inside the network\n",
    "  references:\n",
    "  - https://github.com/iadgov/Event-Forwarding-Guidance/tree/master/Events\n",
    "  author: Ilias el Matani (rule), The Information Assurance Directorate at the NSA\n",
    "    (method)\n",
    "  tags:\n",
    "  - attack.lateral_movement\n",
    "  - attack.t1075\n",
    "  - car.2016-04-004\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: security\n",
    "    definition: The successful use of PtH for lateral movement between workstations\n",
    "      would trigger event ID 4624, a failed logon attempt would trigger an event ID\n",
    "      4625\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "    - EventID: 4624\n",
    "      LogonType: '3'\n",
    "      LogonProcessName: NtLmSsp\n",
    "      WorkstationName: '%Workstations%'\n",
    "      ComputerName: '%Workstations%'\n",
    "    - EventID: 4625\n",
    "      LogonType: '3'\n",
    "      LogonProcessName: NtLmSsp\n",
    "      WorkstationName: '%Workstations%'\n",
    "      ComputerName: '%Workstations%'\n",
    "    filter:\n",
    "      AccountName: ANONYMOUS LOGON\n",
    "    condition: selection and not filter\n",
    "  falsepositives:\n",
    "  - Administrator activity\n",
    "  - Penetration tests\n",
    "  level: medium\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Querying Elasticsearch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from elasticsearch import Elasticsearch\n",
    "from elasticsearch_dsl import Search\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize Elasticsearch client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
    "searchContext = Search(using=es, index='logs-endpoint-winevent-security-*', doc_type='doc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Elasticsearch Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = searchContext.query('query_string', query='((logon_type:\"3\" AND logon_process_name:\"NtLmSsp\" AND src_host_name:\"%Workstations%\" AND host_name:\"%Workstations%\" AND (event_id:\"4624\" OR event_id:\"4625\")) AND (NOT (user_name:\"ANONYMOUS\\ LOGON\")))')\n",
    "response = s.execute()\n",
    "if response.success():\n",
    "    df = pd.DataFrame((d.to_dict() for d in s.scan()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head()"
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 4
}