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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Service Execution\n",
    "Detects manual service execution (start) via system utilities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Service Execution\n",
    "  id: 2a072a96-a086-49fa-bcb5-15cc5a619093\n",
    "  status: experimental\n",
    "  description: Detects manual service execution (start) via system utilities\n",
    "  author: Timur Zinniatullin, Daniil Yugoslavskiy, oscd.community\n",
    "  date: 2019/10/21\n",
    "  modified: 2019/11/04\n",
    "  references:\n",
    "  - https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1035/T1035.yaml\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection:\n",
    "      Image|endswith:\n",
    "      - \\net.exe\n",
    "      - \\net1.exe\n",
    "      CommandLine|contains: ' start '\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - Legitimate administrator or user executes a service for legitimate reason\n",
    "  level: low\n",
    "  tags:\n",
    "  - attack.execution\n",
    "  - attack.t1035\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:(*\\\\net.exe OR *\\\\net1.exe) AND process_command_line.keyword:*\\ start\\ *)')\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
}