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

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NetNTLM Downgrade Attack\n",
    "Detects post exploitation using NetNTLM downgrade attacks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- action: global\n",
    "  title: NetNTLM Downgrade Attack\n",
    "  id: d67572a0-e2ec-45d6-b8db-c100d14b8ef2\n",
    "  description: Detects post exploitation using NetNTLM downgrade attacks\n",
    "  references:\n",
    "  - https://www.optiv.com/blog/post-exploitation-using-netntlm-downgrade-attacks\n",
    "  author: Florian Roth\n",
    "  date: 2018/03/20\n",
    "  tags:\n",
    "  - attack.credential_access\n",
    "  - attack.t1212\n",
    "  detection:\n",
    "    condition: 1 of them\n",
    "  falsepositives:\n",
    "  - Unknown\n",
    "  level: critical\n",
    "- logsource:\n",
    "    product: windows\n",
    "    service: sysmon\n",
    "  detection:\n",
    "    selection1:\n",
    "      EventID: 13\n",
    "      TargetObject:\n",
    "      - '*SYSTEM\\\\*ControlSet*\\Control\\Lsa\\lmcompatibilitylevel'\n",
    "      - '*SYSTEM\\\\*ControlSet*\\Control\\Lsa\\NtlmMinClientSec'\n",
    "      - '*SYSTEM\\\\*ControlSet*\\Control\\Lsa\\RestrictSendingNTLMTraffic'\n",
    "- logsource:\n",
    "    product: windows\n",
    "    service: security\n",
    "    definition: 'Requirements: Audit Policy : Object Access > Audit Registry (Success)'\n",
    "  detection:\n",
    "    selection2:\n",
    "      EventID: 4657\n",
    "      ObjectName: \\REGISTRY\\MACHINE\\SYSTEM\\\\*ControlSet*\\Control\\Lsa\n",
    "      ObjectValueName:\n",
    "      - LmCompatibilityLevel\n",
    "      - NtlmMinClientSec\n",
    "      - RestrictSendingNTLMTraffic\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:\"13\" AND registry_key_path.keyword:(*SYSTEM\\\\*ControlSet*\\\\Control\\\\Lsa\\\\lmcompatibilitylevel OR *SYSTEM\\\\*ControlSet*\\\\Control\\\\Lsa\\\\NtlmMinClientSec OR *SYSTEM\\\\*ControlSet*\\\\Control\\\\Lsa\\\\RestrictSendingNTLMTraffic))')\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='(event_id:\"4657\" AND object_name.keyword:\\\\REGISTRY\\\\MACHINE\\\\SYSTEM\\\\*ControlSet*\\\\Control\\\\Lsa AND object_value_name:(\"LmCompatibilityLevel\" OR \"NtlmMinClientSec\" OR \"RestrictSendingNTLMTraffic\"))')\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
}