{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious PowerShell Keywords\n",
    "Detects keywords that could indicate the use of some PowerShell exploitation framework"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious PowerShell Keywords\n",
    "  id: 1f49f2ab-26bc-48b3-96cc-dcffbc93eadf\n",
    "  status: experimental\n",
    "  description: Detects keywords that could indicate the use of some PowerShell exploitation\n",
    "    framework\n",
    "  date: 2019/02/11\n",
    "  author: Florian Roth\n",
    "  references:\n",
    "  - https://posts.specterops.io/entering-a-covenant-net-command-and-control-e11038bcf462\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1086\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: powershell\n",
    "    definition: It is recommended to use the new \"Script Block Logging\" of PowerShell\n",
    "      v5 https://adsecurity.org/?p=2277\n",
    "    category: null\n",
    "  detection:\n",
    "    keywords:\n",
    "      Message:\n",
    "      - '*[System.Reflection.Assembly]::Load*'\n",
    "    condition: keywords\n",
    "  falsepositives:\n",
    "  - Penetration tests\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-powershell-*', 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='Message.keyword:(*\\[System.Reflection.Assembly\\]\\:\\:Load*)')\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
}