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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Executable in ADS\n",
    "Detects the creation of an ADS data stream that contains an executable (non-empty imphash)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Executable in ADS\n",
    "  id: b69888d4-380c-45ce-9cf9-d9ce46e67821\n",
    "  status: experimental\n",
    "  description: Detects the creation of an ADS data stream that contains an executable\n",
    "    (non-empty imphash)\n",
    "  references:\n",
    "  - https://twitter.com/0xrawsec/status/1002478725605273600?s=21\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.t1027\n",
    "  - attack.s0139\n",
    "  author: Florian Roth, @0xrawsec\n",
    "  date: 2018/06/03\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: sysmon\n",
    "    definition: 'Requirements: Sysmon config with Imphash logging activated'\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "      EventID: 15\n",
    "    filter:\n",
    "      Imphash: '00000000000000000000000000000000'\n",
    "    condition: selection and not filter\n",
    "  fields:\n",
    "  - TargetFilename\n",
    "  - Image\n",
    "  falsepositives:\n",
    "  - unknown\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-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:\"15\" AND (NOT (hash_imphash:\"00000000000000000000000000000000\")))')\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
}