HELK/docker/helk-jupyter/notebooks/sigma/sysmon_susp_powershell_rundll32.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PowerShell Rundll32 Remote Thread Creation\n",
    "Detects PowerShell remote thread creation in Rundll32.exe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: PowerShell Rundll32 Remote Thread Creation\n",
    "  id: 99b97608-3e21-4bfe-8217-2a127c396a0e\n",
    "  status: experimental\n",
    "  description: Detects PowerShell remote thread creation in Rundll32.exe\n",
    "  author: Florian Roth\n",
    "  references:\n",
    "  - https://www.fireeye.com/blog/threat-research/2018/06/bring-your-own-land-novel-red-teaming-technique.html\n",
    "  date: 2018/06/25\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: sysmon\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "      EventID: 8\n",
    "      SourceImage: '*\\powershell.exe'\n",
    "      TargetImage: '*\\rundll32.exe'\n",
    "    condition: selection\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.execution\n",
    "  - attack.t1085\n",
    "  - attack.t1086\n",
    "  falsepositives:\n",
    "  - Unkown\n",
    "  level: high\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-sysmon-*', 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='(event_id:\"8\" AND process_path.keyword:*\\\\powershell.exe AND target_process_path.keyword:*\\\\rundll32.exe)')\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
}