HELK/docker/helk-jupyter/notebooks/sigma/powershell_downgrade_attack...

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PowerShell Downgrade Attack\n",
"Detects PowerShell downgrade attack by comparing the host versions with the actually used engine version 2.0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: PowerShell Downgrade Attack\n",
" id: 6331d09b-4785-4c13-980f-f96661356249\n",
" status: experimental\n",
" description: Detects PowerShell downgrade attack by comparing the host versions\n",
" with the actually used engine version 2.0\n",
" references:\n",
" - http://www.leeholmes.com/blog/2017/03/17/detecting-and-preventing-powershell-downgrade-attacks/\n",
" tags:\n",
" - attack.defense_evasion\n",
" - attack.execution\n",
" - attack.t1086\n",
" author: Florian Roth (rule), Lee Holmes (idea)\n",
" logsource:\n",
" product: windows\n",
" service: powershell-classic\n",
" category: null\n",
" detection:\n",
" selection:\n",
" EventID: 400\n",
" EngineVersion: 2.*\n",
" filter:\n",
" HostVersion: 2.*\n",
" condition: selection and not filter\n",
" falsepositives:\n",
" - Penetration Test\n",
" - Unknown\n",
" level: medium\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-powershell-*', 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:\"400\" AND powershell.engine.version.keyword:2.*) AND (NOT (powershell.host.version.keyword:2.*)))')\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
}