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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious File Characteristics due to Missing Fields\n",
    "Detects Executables without FileVersion,Description,Product,Company likely created with py2exe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious File Characteristics due to Missing Fields\n",
    "  id: 9637e8a5-7131-4f7f-bdc7-2b05d8670c43\n",
    "  description: Detects Executables without FileVersion,Description,Product,Company\n",
    "    likely created with py2exe\n",
    "  status: experimental\n",
    "  references:\n",
    "  - https://securelist.com/muddywater/88059/\n",
    "  - https://www.virustotal.com/#/file/276a765a10f98cda1a38d3a31e7483585ca3722ecad19d784441293acf1b7beb/detection\n",
    "  author: Markus Neis\n",
    "  date: 2018/11/22\n",
    "  modified: 2019/11/09\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.execution\n",
    "  - attack.t1064\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: sysmon\n",
    "    category: null\n",
    "  detection:\n",
    "    selection1:\n",
    "      Description: \\?\n",
    "      FileVersion: \\?\n",
    "    selection2:\n",
    "      Description: \\?\n",
    "      Product: \\?\n",
    "    selection3:\n",
    "      Description: \\?\n",
    "      Company: \\?\n",
    "    condition: 1 of them\n",
    "  fields:\n",
    "  - CommandLine\n",
    "  - ParentCommandLine\n",
    "  falsepositives:\n",
    "  - Unknown\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-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='(file_description:\"\\?\" AND (file_version:\"\\?\" OR file_product:\"\\?\" OR file_company:\"\\?\"))')\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
}