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

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Suspicious PowerShell Invocations - Specific\n",
"Detects suspicious PowerShell invocation command parameters"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: Suspicious PowerShell Invocations - Specific\n",
" id: fce5f582-cc00-41e1-941a-c6fabf0fdb8c\n",
" status: experimental\n",
" description: Detects suspicious PowerShell invocation command parameters\n",
" tags:\n",
" - attack.execution\n",
" - attack.t1086\n",
" author: Florian Roth (rule)\n",
" logsource:\n",
" product: windows\n",
" service: powershell\n",
" category: null\n",
" detection:\n",
" keywords:\n",
" Message:\n",
" - '* -nop -w hidden -c * [Convert]::FromBase64String*'\n",
" - '* -w hidden -noni -nop -c \"iex(New-Object*'\n",
" - '* -w hidden -ep bypass -Enc*'\n",
" - '*powershell.exe reg add HKCU\\software\\microsoft\\windows\\currentversion\\run*'\n",
" - '*bypass -noprofile -windowstyle hidden (new-object system.net.webclient).download*'\n",
" - '*iex(New-Object Net.WebClient).Download*'\n",
" condition: keywords\n",
" falsepositives:\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-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='Message.keyword:(*\\ \\-nop\\ \\-w\\ hidden\\ \\-c\\ *\\ \\[Convert\\]\\:\\:FromBase64String* OR *\\ \\-w\\ hidden\\ \\-noni\\ \\-nop\\ \\-c\\ \\\"iex\\(New\\-Object* OR *\\ \\-w\\ hidden\\ \\-ep\\ bypass\\ \\-Enc* OR *powershell.exe\\ reg\\ add\\ HKCU\\\\software\\\\microsoft\\\\windows\\\\currentversion\\\\run* OR *bypass\\ \\-noprofile\\ \\-windowstyle\\ hidden\\ \\(new\\-object\\ system.net.webclient\\).download* OR *iex\\(New\\-Object\\ Net.WebClient\\).Download*)')\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
}