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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Possible Applocker Bypass\n",
    "Detects execution of executables that can be used to bypass Applocker whitelisting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Possible Applocker Bypass\n",
    "  id: 82a19e3a-2bfe-4a91-8c0d-5d4c98fbb719\n",
    "  description: Detects execution of executables that can be used to bypass Applocker\n",
    "    whitelisting\n",
    "  status: experimental\n",
    "  references:\n",
    "  - https://github.com/subTee/ApplicationWhitelistBypassTechniques/blob/master/TheList.txt\n",
    "  - https://room362.com/post/2014/2014-01-16-application-whitelist-bypass-using-ieexec-dot-exe/\n",
    "  author: juju4\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.t1118\n",
    "  - attack.t1121\n",
    "  - attack.t1127\n",
    "  - attack.t1170\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      CommandLine|contains:\n",
    "      - \\msdt.exe\n",
    "      - \\installutil.exe\n",
    "      - \\regsvcs.exe\n",
    "      - \\regasm.exe\n",
    "      - \\msbuild.exe\n",
    "      - \\ieexec.exe\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - False positives depend on scripts and administrative tools used in the monitored\n",
    "    environment\n",
    "  - Using installutil to add features for .NET applications (primarly would occur\n",
    "    in developer environments)\n",
    "  level: low\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_command_line.keyword:(*\\\\msdt.exe* OR *\\\\installutil.exe* OR *\\\\regsvcs.exe* OR *\\\\regasm.exe* OR *\\\\msbuild.exe* OR *\\\\ieexec.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
}