{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Whoami as LOCAL_SYSTEM\n",
    "Detects the execution of whoami as LOCAL_SYSTEM, often used after privilege escalation by attackers who want to evaluate the new user context"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Whoami as LOCAL_SYSTEM\n",
    "  id: 1453b1a4-261b-4daf-afe1-2a400a838b5c\n",
    "  status: experimental\n",
    "  description: Detects the execution of whoami as LOCAL_SYSTEM, often used after privilege\n",
    "    escalation by attackers who want to evaluate the new user context\n",
    "  author: Florian Roth\n",
    "  date: 2019/12/22\n",
    "  tags:\n",
    "  - attack.discovery\n",
    "  - attack.t1033\n",
    "  - car.2016-03-001\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      Image|contains: \\whoami.exe\n",
    "      User: NT AUTHORITY\\SYSTEM\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - Admin activity\n",
    "  - Scripts and administrative tools used in the monitored environment\n",
    "  level: critical\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-*', 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='(process_path.keyword:*\\\\whoami.exe* AND user_account:\"NT\\ AUTHORITY\\\\SYSTEM\")')\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
}