{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious Process Start Locations\n",
    "Detects suspicious process run from unusual locations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious Process Start Locations\n",
    "  id: 15b75071-74cc-47e0-b4c6-b43744a62a2b\n",
    "  description: Detects suspicious process run from unusual locations\n",
    "  status: experimental\n",
    "  references:\n",
    "  - https://car.mitre.org/wiki/CAR-2013-05-002\n",
    "  author: juju4\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.t1036\n",
    "  - car.2013-05-002\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      Image:\n",
    "      - '*:\\RECYCLER\\\\*'\n",
    "      - '*:\\SystemVolumeInformation\\\\*'\n",
    "      - C:\\\\Windows\\\\Tasks\\\\*\n",
    "      - C:\\\\Windows\\\\debug\\\\*\n",
    "      - C:\\\\Windows\\\\fonts\\\\*\n",
    "      - C:\\\\Windows\\\\help\\\\*\n",
    "      - C:\\\\Windows\\\\drivers\\\\*\n",
    "      - C:\\\\Windows\\\\addins\\\\*\n",
    "      - C:\\\\Windows\\\\cursors\\\\*\n",
    "      - C:\\\\Windows\\\\system32\\tasks\\\\*\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - False positives depend on scripts and administrative tools used in the monitored\n",
    "    environment\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-*', 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:(*\\:\\\\RECYCLER\\\\* OR *\\:\\\\SystemVolumeInformation\\\\* OR C\\:\\\\Windows\\\\Tasks\\\\* OR C\\:\\\\Windows\\\\debug\\\\* OR C\\:\\\\Windows\\\\fonts\\\\* OR C\\:\\\\Windows\\\\help\\\\* OR C\\:\\\\Windows\\\\drivers\\\\* OR C\\:\\\\Windows\\\\addins\\\\* OR C\\:\\\\Windows\\\\cursors\\\\* OR C\\:\\\\Windows\\\\system32\\\\tasks\\\\*)')\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
}