mirror of https://github.com/infosecn1nja/HELK.git
132 lines
3.0 KiB
Plaintext
132 lines
3.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Interactive Logon to Server Systems\n",
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"Detects interactive console logons to"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Rule Content\n",
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"```\n",
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"- title: Interactive Logon to Server Systems\n",
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" id: 3ff152b2-1388-4984-9cd9-a323323fdadf\n",
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" description: Detects interactive console logons to\n",
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" author: Florian Roth\n",
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" tags:\n",
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" - attack.lateral_movement\n",
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" - attack.t1078\n",
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" logsource:\n",
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" product: windows\n",
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" service: security\n",
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" category: null\n",
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" detection:\n",
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" selection:\n",
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" EventID:\n",
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" - 528\n",
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" - 529\n",
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" - 4624\n",
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" - 4625\n",
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" LogonType: 2\n",
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" ComputerName:\n",
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" - '%ServerSystems%'\n",
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" - '%DomainControllers%'\n",
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" filter:\n",
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" LogonProcessName: Advapi\n",
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" ComputerName: '%Workstations%'\n",
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" condition: selection and not filter\n",
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" falsepositives:\n",
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" - Administrative activity via KVM or ILO board\n",
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" level: medium\n",
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"\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Querying Elasticsearch"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import Libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from elasticsearch import Elasticsearch\n",
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"from elasticsearch_dsl import Search\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Initialize Elasticsearch client"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
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"searchContext = Search(using=es, index='logs-endpoint-winevent-security-*', doc_type='doc')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run Elasticsearch Query"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"s = searchContext.query('query_string', query='((event_id:(\"528\" OR \"529\" OR \"4624\" OR \"4625\") AND logon_type:\"2\" AND host_name:(\"%ServerSystems%\" OR \"%DomainControllers%\")) AND (NOT (logon_process_name:\"Advapi\" AND host_name:\"%Workstations%\")))')\n",
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"response = s.execute()\n",
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"if response.success():\n",
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" df = pd.DataFrame((d.to_dict() for d in s.scan()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Show Results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df.head()"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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