mirror of https://github.com/infosecn1nja/HELK.git
166 lines
5.0 KiB
Plaintext
166 lines
5.0 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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"# Suspicious PowerShell Parameter Substring\n",
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"Detects suspicious PowerShell invocation with a parameter substring"
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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: Suspicious PowerShell Parameter Substring\n",
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" id: 36210e0d-5b19-485d-a087-c096088885f0\n",
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" status: experimental\n",
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" description: Detects suspicious PowerShell invocation with a parameter substring\n",
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" references:\n",
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" - http://www.danielbohannon.com/blog-1/2017/3/12/powershell-execution-argument-obfuscation-how-it-can-make-detection-easier\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.t1086\n",
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" author: Florian Roth (rule), Daniel Bohannon (idea), Roberto Rodriguez (Fix)\n",
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" logsource:\n",
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" category: process_creation\n",
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" product: windows\n",
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" service: null\n",
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" detection:\n",
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" selection:\n",
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" Image:\n",
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" - '*\\Powershell.exe'\n",
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" CommandLine:\n",
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" - ' -windowstyle h '\n",
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" - ' -windowstyl h'\n",
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" - ' -windowsty h'\n",
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" - ' -windowst h'\n",
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" - ' -windows h'\n",
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" - ' -windo h'\n",
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" - ' -wind h'\n",
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" - ' -win h'\n",
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" - ' -wi h'\n",
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" - ' -win h '\n",
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" - ' -win hi '\n",
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" - ' -win hid '\n",
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" - ' -win hidd '\n",
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" - ' -win hidde '\n",
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" - ' -NoPr '\n",
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" - ' -NoPro '\n",
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" - ' -NoProf '\n",
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" - ' -NoProfi '\n",
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" - ' -NoProfil '\n",
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" - ' -nonin '\n",
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" - ' -nonint '\n",
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" - ' -noninte '\n",
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" - ' -noninter '\n",
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" - ' -nonintera '\n",
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" - ' -noninterac '\n",
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" - ' -noninteract '\n",
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" - ' -noninteracti '\n",
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" - ' -noninteractiv '\n",
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" - ' -ec '\n",
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" - ' -encodedComman '\n",
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" - ' -encodedComma '\n",
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" - ' -encodedComm '\n",
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" - ' -encodedCom '\n",
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" - ' -encodedCo '\n",
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" - ' -encodedC '\n",
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" - ' -encoded '\n",
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" - ' -encode '\n",
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" - ' -encod '\n",
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" - ' -enco '\n",
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" - ' -en '\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Penetration tests\n",
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" level: high\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-*', 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='(process_path.keyword:(*\\\\Powershell.exe) AND process_command_line:(\"\\ \\-windowstyle\\ h\\ \" OR \"\\ \\-windowstyl\\ h\" OR \"\\ \\-windowsty\\ h\" OR \"\\ \\-windowst\\ h\" OR \"\\ \\-windows\\ h\" OR \"\\ \\-windo\\ h\" OR \"\\ \\-wind\\ h\" OR \"\\ \\-win\\ h\" OR \"\\ \\-wi\\ h\" OR \"\\ \\-win\\ h\\ \" OR \"\\ \\-win\\ hi\\ \" OR \"\\ \\-win\\ hid\\ \" OR \"\\ \\-win\\ hidd\\ \" OR \"\\ \\-win\\ hidde\\ \" OR \"\\ \\-NoPr\\ \" OR \"\\ \\-NoPro\\ \" OR \"\\ \\-NoProf\\ \" OR \"\\ \\-NoProfi\\ \" OR \"\\ \\-NoProfil\\ \" OR \"\\ \\-nonin\\ \" OR \"\\ \\-nonint\\ \" OR \"\\ \\-noninte\\ \" OR \"\\ \\-noninter\\ \" OR \"\\ \\-nonintera\\ \" OR \"\\ \\-noninterac\\ \" OR \"\\ \\-noninteract\\ \" OR \"\\ \\-noninteracti\\ \" OR \"\\ \\-noninteractiv\\ \" OR \"\\ \\-ec\\ \" OR \"\\ \\-encodedComman\\ \" OR \"\\ \\-encodedComma\\ \" OR \"\\ \\-encodedComm\\ \" OR \"\\ \\-encodedCom\\ \" OR \"\\ \\-encodedCo\\ \" OR \"\\ \\-encodedC\\ \" OR \"\\ \\-encoded\\ \" OR \"\\ \\-encode\\ \" OR \"\\ \\-encod\\ \" OR \"\\ \\-enco\\ \" OR \"\\ \\-en\\ \"))')\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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