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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Suspicious PowerShell Invocation based on Parent Process\n",
    "Detects suspicious powershell invocations from interpreters or unusual programs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Suspicious PowerShell Invocation based on Parent Process\n",
    "  id: 95eadcb2-92e4-4ed1-9031-92547773a6db\n",
    "  status: experimental\n",
    "  description: Detects suspicious powershell invocations from interpreters or unusual\n",
    "    programs\n",
    "  author: Florian Roth\n",
    "  references:\n",
    "  - https://www.carbonblack.com/2017/03/15/attackers-leverage-excel-powershell-dns-latest-non-malware-attack/\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1086\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      ParentImage:\n",
    "      - '*\\wscript.exe'\n",
    "      - '*\\cscript.exe'\n",
    "      Image:\n",
    "      - '*\\powershell.exe'\n",
    "    falsepositive:\n",
    "      CurrentDirectory: '*\\Health Service State\\\\*'\n",
    "    condition: selection and not falsepositive\n",
    "  fields:\n",
    "  - CommandLine\n",
    "  - ParentCommandLine\n",
    "  falsepositives:\n",
    "  - Microsoft Operations Manager (MOM)\n",
    "  - Other scripts\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_parent_path.keyword:(*\\\\wscript.exe OR *\\\\cscript.exe) AND process_path.keyword:(*\\\\powershell.exe)) AND (NOT (process_current_directory.keyword:*\\\\Health\\ Service\\ State\\\\*)))')\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
}