{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Account Tampering - Suspicious Failed Logon Reasons\n",
    "This method uses uncommon error codes on failed logons to determine suspicious activity and tampering with accounts that have been disabled or somehow restricted."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Account Tampering - Suspicious Failed Logon Reasons\n",
    "  id: 9eb99343-d336-4020-a3cd-67f3819e68ee\n",
    "  description: This method uses uncommon error codes on failed logons to determine\n",
    "    suspicious activity and tampering with accounts that have been disabled or somehow\n",
    "    restricted.\n",
    "  author: Florian Roth\n",
    "  modified: 2019/03/01\n",
    "  references:\n",
    "  - https://twitter.com/SBousseaden/status/1101431884540710913\n",
    "  tags:\n",
    "  - attack.persistence\n",
    "  - attack.privilege_escalation\n",
    "  - attack.t1078\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: security\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "      EventID:\n",
    "      - 4625\n",
    "      - 4776\n",
    "      Status:\n",
    "      - '0xC0000072'\n",
    "      - '0xC000006F'\n",
    "      - '0xC0000070'\n",
    "      - '0xC0000413'\n",
    "      - '0xC000018C'\n",
    "      - '0xC000015B'\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - User using a disabled account\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-security-*', 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:(\"4625\" OR \"4776\") AND event_status:(\"0xC0000072\" OR \"0xC000006F\" OR \"0xC0000070\" OR \"0xC0000413\" OR \"0xC000018C\" OR \"0xC000015B\"))')\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
}