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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Operation Wocao Activity\n",
    "Detects activity mentioned in Operation Wocao report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- action: global\n",
    "  title: Operation Wocao Activity\n",
    "  id: 74ad4314-482e-4c3e-b237-3f7ed3b9ca8d\n",
    "  author: Florian Roth\n",
    "  status: experimental\n",
    "  description: Detects activity mentioned in Operation Wocao report\n",
    "  references:\n",
    "  - https://www.fox-it.com/en/news/whitepapers/operation-wocao-shining-a-light-on-one-of-chinas-hidden-hacking-groups/\n",
    "  - https://twitter.com/SBousseaden/status/1207671369963646976\n",
    "  date: 2019/12/20\n",
    "  falsepositives:\n",
    "  - Administrators that use checkadmin.exe tool to enumerate local administrators\n",
    "  level: high\n",
    "- logsource:\n",
    "    product: windows\n",
    "    service: security\n",
    "  detection:\n",
    "    selection:\n",
    "      EventID: 4799\n",
    "      GroupName: Administrators\n",
    "      ProcessName: '*\\checkadmin.exe'\n",
    "    condition: selection\n",
    "- logsource:\n",
    "    category: process_creation\n",
    "    product: windows\n",
    "  detection:\n",
    "    selection:\n",
    "      CommandLine|contains:\n",
    "      - checkadmin.exe 127.0.0.1 -all\n",
    "      - netsh advfirewall firewall add rule name=powershell dir=in\n",
    "      - cmd /c powershell.exe -ep bypass -file c:\\s.ps1\n",
    "      - /tn win32times /f\n",
    "      - create win32times binPath=\n",
    "      - \\c$\\windows\\system32\\devmgr.dll\n",
    "      - ' -exec bypass -enc JgAg'\n",
    "      - type *keepass\\KeePass.config.xml\n",
    "      - iie.exe iie.txt\n",
    "      - reg query HKEY_CURRENT_USER\\Software\\*\\PuTTY\\Sessions\\\n",
    "    condition: selection\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='(event_id:\"4799\" AND group_name:\"Administrators\" AND process_path.keyword:*\\\\checkadmin.exe)')\n",
    "response = s.execute()\n",
    "if response.success():\n",
    "    df = pd.DataFrame((d.to_dict() for d in s.scan()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = searchContext.query('query_string', query='process_command_line.keyword:(*checkadmin.exe\\ 127.0.0.1\\ \\-all* OR *netsh\\ advfirewall\\ firewall\\ add\\ rule\\ name\\=powershell\\ dir\\=in* OR *cmd\\ \\/c\\ powershell.exe\\ \\-ep\\ bypass\\ \\-file\\ c\\:\\\\s.ps1* OR *\\/tn\\ win32times\\ \\/f* OR *create\\ win32times\\ binPath\\=* OR *\\\\c$\\\\windows\\\\system32\\\\devmgr.dll* OR *\\ \\-exec\\ bypass\\ \\-enc\\ JgAg* OR *type\\ *keepass\\\\KeePass.config.xml* OR *iie.exe\\ iie.txt* OR *reg\\ query\\ HKEY_CURRENT_USER\\\\Software\\*\\\\PuTTY\\\\Sessions\\*)')\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
}