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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Elise Backdoor\n",
    "Detects Elise backdoor acitivty as used by APT32"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Elise Backdoor\n",
    "  id: e507feb7-5f73-4ef6-a970-91bb6f6d744f\n",
    "  status: experimental\n",
    "  description: Detects Elise backdoor acitivty as used by APT32\n",
    "  references:\n",
    "  - https://community.rsa.com/community/products/netwitness/blog/2018/02/13/lotus-blossom-continues-asean-targeting\n",
    "  tags:\n",
    "  - attack.g0030\n",
    "  - attack.g0050\n",
    "  - attack.s0081\n",
    "  author: Florian Roth\n",
    "  date: 2018/01/31\n",
    "  logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "    service: null\n",
    "  detection:\n",
    "    selection1:\n",
    "      Image: C:\\Windows\\SysWOW64\\cmd.exe\n",
    "      CommandLine: '*\\Windows\\Caches\\NavShExt.dll *'\n",
    "    selection2:\n",
    "      CommandLine: '*\\AppData\\Roaming\\MICROS~1\\Windows\\Caches\\NavShExt.dll,Setting'\n",
    "    condition: 1 of them\n",
    "  falsepositives:\n",
    "  - Unknown\n",
    "  level: critical\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:\"C\\:\\\\Windows\\\\SysWOW64\\\\cmd.exe\" AND process_command_line.keyword:*\\\\Windows\\\\Caches\\\\NavShExt.dll\\ *) OR process_command_line.keyword:*\\\\AppData\\\\Roaming\\\\MICROS\\~1\\\\Windows\\\\Caches\\\\NavShExt.dll,Setting)')\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
}