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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reconnaissance Activity\n",
    "Detects activity as \"net user administrator /domain\" and \"net group domain admins /domain\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: Reconnaissance Activity\n",
    "  id: 968eef52-9cff-4454-8992-1e74b9cbad6c\n",
    "  status: experimental\n",
    "  description: Detects activity as \"net user administrator /domain\" and \"net group\n",
    "    domain admins /domain\"\n",
    "  references:\n",
    "  - https://findingbad.blogspot.de/2017/01/hunting-what-does-it-look-like.html\n",
    "  author: Florian Roth (rule), Jack Croock (method)\n",
    "  tags:\n",
    "  - attack.discovery\n",
    "  - attack.t1087\n",
    "  - attack.t1069\n",
    "  - attack.s0039\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: security\n",
    "    definition: The volume of Event ID 4661 is high on Domain Controllers and therefore\n",
    "      \"Audit SAM\" and \"Audit Kernel Object\" advanced audit policy settings are not\n",
    "      configured in the recommendations for server systems\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "    - EventID: 4661\n",
    "      ObjectType: SAM_USER\n",
    "      ObjectName: S-1-5-21-*-500\n",
    "      AccessMask: '0x2d'\n",
    "    - EventID: 4661\n",
    "      ObjectType: SAM_GROUP\n",
    "      ObjectName: S-1-5-21-*-512\n",
    "      AccessMask: '0x2d'\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - Administrator activity\n",
    "  - Penetration tests\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:\"4661\" AND object_access_mask_requested:\"0x2d\" AND ((object_type:\"SAM_USER\" AND object_name.keyword:S\\-1\\-5\\-21\\-*\\-500) OR (object_type:\"SAM_GROUP\" AND object_name.keyword:S\\-1\\-5\\-21\\-*\\-512)))')\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
}