HELK/docker/helk-jupyter/notebooks/sigma/powershell_exe_calling_ps.i...

132 lines
2.9 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PowerShell called from an Executable Version Mismatch\n",
"Detects PowerShell called from an executable by the version mismatch method"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: PowerShell called from an Executable Version Mismatch\n",
" id: c70e019b-1479-4b65-b0cc-cd0c6093a599\n",
" status: experimental\n",
" description: Detects PowerShell called from an executable by the version mismatch\n",
" method\n",
" references:\n",
" - https://adsecurity.org/?p=2921\n",
" tags:\n",
" - attack.defense_evasion\n",
" - attack.execution\n",
" - attack.t1086\n",
" author: Sean Metcalf (source), Florian Roth (rule)\n",
" logsource:\n",
" product: windows\n",
" service: powershell-classic\n",
" category: null\n",
" detection:\n",
" selection1:\n",
" EventID: 400\n",
" EngineVersion:\n",
" - 2.*\n",
" - 4.*\n",
" - 5.*\n",
" HostVersion: 3.*\n",
" condition: selection1\n",
" falsepositives:\n",
" - Penetration Tests\n",
" - Unknown\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-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.* OR 4.* OR 5.*) AND powershell.host.version.keyword:3.*)')\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
}