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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WSF/JSE/JS/VBA/VBE File Execution\n",
    "Detects suspicious file execution by wscript and cscript"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: WSF/JSE/JS/VBA/VBE File Execution\n",
    "  id: 1e33157c-53b1-41ad-bbcc-780b80b58288\n",
    "  status: experimental\n",
    "  description: Detects suspicious file execution by wscript and cscript\n",
    "  author: Michael Haag\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1064\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      Image:\n",
    "      - '*\\wscript.exe'\n",
    "      - '*\\cscript.exe'\n",
    "      CommandLine:\n",
    "      - '*.jse'\n",
    "      - '*.vbe'\n",
    "      - '*.js'\n",
    "      - '*.vba'\n",
    "    condition: selection\n",
    "  fields:\n",
    "  - CommandLine\n",
    "  - ParentCommandLine\n",
    "  falsepositives:\n",
    "  - Will need to be tuned. I recommend adding the user profile path in CommandLine\n",
    "    if it is getting too noisy.\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:(*\\\\wscript.exe OR *\\\\cscript.exe) AND process_command_line.keyword:(*.jse OR *.vbe OR *.js OR *.vba))')\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
}