mirror of https://github.com/infosecn1nja/HELK.git
134 lines
3.1 KiB
Plaintext
134 lines
3.1 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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"# Detection of PowerShell Execution via DLL\n",
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"Detects PowerShell Strings applied to rundllas seen in PowerShdll.dll"
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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: Detection of PowerShell Execution via DLL\n",
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" id: 6812a10b-60ea-420c-832f-dfcc33b646ba\n",
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" status: experimental\n",
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" description: Detects PowerShell Strings applied to rundllas seen in PowerShdll.dll\n",
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" references:\n",
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" - https://github.com/p3nt4/PowerShdll/blob/master/README.md\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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" - car.2014-04-003\n",
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" author: Markus Neis\n",
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" date: 2018/08/25\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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" selection1:\n",
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" Image:\n",
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" - '*\\rundll32.exe'\n",
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" selection2:\n",
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" Description:\n",
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" - '*Windows-Hostprozess (Rundll32)*'\n",
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" selection3:\n",
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" CommandLine:\n",
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" - '*Default.GetString*'\n",
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" - '*FromBase64String*'\n",
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" condition: (selection1 or selection2) and selection3\n",
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" falsepositives:\n",
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" - Unknown\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:(*\\\\rundll32.exe) OR file_description.keyword:(*Windows\\-Hostprozess\\ \\(Rundll32\\)*)) AND process_command_line.keyword:(*Default.GetString* OR *FromBase64String*))')\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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