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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Usage of Sysinternals Tools\n",
    "Detects the usage of Sysinternals Tools due to accepteula key being added to Registry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- action: global\n",
    "  title: Usage of Sysinternals Tools\n",
    "  id: 25ffa65d-76d8-4da5-a832-3f2b0136e133\n",
    "  status: experimental\n",
    "  description: Detects the usage of Sysinternals Tools due to accepteula key being\n",
    "    added to Registry\n",
    "  references:\n",
    "  - https://twitter.com/Moti_B/status/1008587936735035392\n",
    "  date: 2017/08/28\n",
    "  author: Markus Neis\n",
    "  detection:\n",
    "    condition: 1 of them\n",
    "  falsepositives:\n",
    "  - Legitimate use of SysInternals tools\n",
    "  - Programs that use the same Registry Key\n",
    "  level: low\n",
    "- logsource:\n",
    "    product: windows\n",
    "    service: sysmon\n",
    "  detection:\n",
    "    selection1:\n",
    "      EventID: 13\n",
    "      TargetObject: '*\\EulaAccepted'\n",
    "- logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "  detection:\n",
    "    selection2:\n",
    "      CommandLine: '* -accepteula*'\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='(event_id:\"13\" AND registry_key_path.keyword:*\\\\EulaAccepted)')\n",
    "response = s.execute()\n",
    "if response.success():\n",
    "    df = pd.DataFrame((d.to_dict() for d in s.scan()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = searchContext.query('query_string', query='process_command_line.keyword:*\\ \\-accepteula*')\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
}