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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious PowerShell Parameter Substring\n",
    "Detects suspicious PowerShell invocation with a parameter substring"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious PowerShell Parameter Substring\n",
    "  id: 36210e0d-5b19-485d-a087-c096088885f0\n",
    "  status: experimental\n",
    "  description: Detects suspicious PowerShell invocation with a parameter substring\n",
    "  references:\n",
    "  - http://www.danielbohannon.com/blog-1/2017/3/12/powershell-execution-argument-obfuscation-how-it-can-make-detection-easier\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1086\n",
    "  author: Florian Roth (rule), Daniel Bohannon (idea), Roberto Rodriguez (Fix)\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      Image:\n",
    "      - '*\\Powershell.exe'\n",
    "      CommandLine:\n",
    "      - ' -windowstyle h '\n",
    "      - ' -windowstyl h'\n",
    "      - ' -windowsty h'\n",
    "      - ' -windowst h'\n",
    "      - ' -windows h'\n",
    "      - ' -windo h'\n",
    "      - ' -wind h'\n",
    "      - ' -win h'\n",
    "      - ' -wi h'\n",
    "      - ' -win h '\n",
    "      - ' -win hi '\n",
    "      - ' -win hid '\n",
    "      - ' -win hidd '\n",
    "      - ' -win hidde '\n",
    "      - ' -NoPr '\n",
    "      - ' -NoPro '\n",
    "      - ' -NoProf '\n",
    "      - ' -NoProfi '\n",
    "      - ' -NoProfil '\n",
    "      - ' -nonin '\n",
    "      - ' -nonint '\n",
    "      - ' -noninte '\n",
    "      - ' -noninter '\n",
    "      - ' -nonintera '\n",
    "      - ' -noninterac '\n",
    "      - ' -noninteract '\n",
    "      - ' -noninteracti '\n",
    "      - ' -noninteractiv '\n",
    "      - ' -ec '\n",
    "      - ' -encodedComman '\n",
    "      - ' -encodedComma '\n",
    "      - ' -encodedComm '\n",
    "      - ' -encodedCom '\n",
    "      - ' -encodedCo '\n",
    "      - ' -encodedC '\n",
    "      - ' -encoded '\n",
    "      - ' -encode '\n",
    "      - ' -encod '\n",
    "      - ' -enco '\n",
    "      - ' -en '\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - Penetration tests\n",
    "  level: high\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:(*\\\\Powershell.exe) AND process_command_line:(\"\\ \\-windowstyle\\ h\\ \" OR \"\\ \\-windowstyl\\ h\" OR \"\\ \\-windowsty\\ h\" OR \"\\ \\-windowst\\ h\" OR \"\\ \\-windows\\ h\" OR \"\\ \\-windo\\ h\" OR \"\\ \\-wind\\ h\" OR \"\\ \\-win\\ h\" OR \"\\ \\-wi\\ h\" OR \"\\ \\-win\\ h\\ \" OR \"\\ \\-win\\ hi\\ \" OR \"\\ \\-win\\ hid\\ \" OR \"\\ \\-win\\ hidd\\ \" OR \"\\ \\-win\\ hidde\\ \" OR \"\\ \\-NoPr\\ \" OR \"\\ \\-NoPro\\ \" OR \"\\ \\-NoProf\\ \" OR \"\\ \\-NoProfi\\ \" OR \"\\ \\-NoProfil\\ \" OR \"\\ \\-nonin\\ \" OR \"\\ \\-nonint\\ \" OR \"\\ \\-noninte\\ \" OR \"\\ \\-noninter\\ \" OR \"\\ \\-nonintera\\ \" OR \"\\ \\-noninterac\\ \" OR \"\\ \\-noninteract\\ \" OR \"\\ \\-noninteracti\\ \" OR \"\\ \\-noninteractiv\\ \" OR \"\\ \\-ec\\ \" OR \"\\ \\-encodedComman\\ \" OR \"\\ \\-encodedComma\\ \" OR \"\\ \\-encodedComm\\ \" OR \"\\ \\-encodedCom\\ \" OR \"\\ \\-encodedCo\\ \" OR \"\\ \\-encodedC\\ \" OR \"\\ \\-encoded\\ \" OR \"\\ \\-encode\\ \" OR \"\\ \\-encod\\ \" OR \"\\ \\-enco\\ \" OR \"\\ \\-en\\ \"))')\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
}