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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious PowerShell Invocations - Generic\n",
    "Detects suspicious PowerShell invocation command parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious PowerShell Invocations - Generic\n",
    "  id: 3d304fda-78aa-43ed-975c-d740798a49c1\n",
    "  status: experimental\n",
    "  description: Detects suspicious PowerShell invocation command parameters\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1086\n",
    "  author: Florian Roth (rule)\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: powershell\n",
    "    category: null\n",
    "  detection:\n",
    "    encoded:\n",
    "    - ' -enc '\n",
    "    - ' -EncodedCommand '\n",
    "    hidden:\n",
    "    - ' -w hidden '\n",
    "    - ' -window hidden '\n",
    "    - ' - windowstyle hidden '\n",
    "    noninteractive:\n",
    "    - ' -noni '\n",
    "    - ' -noninteractive '\n",
    "    condition: all of them\n",
    "  falsepositives:\n",
    "  - Penetration tests\n",
    "  - Very special / sneaky PowerShell scripts\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-endpoint-winevent-powershell-*', 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='(\\*.keyword:(*\\ \\-enc\\ * OR *\\ \\-EncodedCommand\\ *) AND \\*.keyword:(*\\ \\-w\\ hidden\\ * OR *\\ \\-window\\ hidden\\ * OR *\\ \\-\\ windowstyle\\ hidden\\ *) AND \\*.keyword:(*\\ \\-noni\\ * OR *\\ \\-noninteractive\\ *))')\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
}