HELK/docker/helk-jupyter/notebooks/sigma/win_susp_squirrel_lolbin.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Squirrel Lolbin\n",
"Detects Possible Squirrel Packages Manager as Lolbin"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: Squirrel Lolbin\n",
" id: fa4b21c9-0057-4493-b289-2556416ae4d7\n",
" status: experimental\n",
" description: Detects Possible Squirrel Packages Manager as Lolbin\n",
" references:\n",
" - http://www.hexacorn.com/blog/2019/03/30/sqirrel-packages-manager-as-a-lolbin-a-k-a-many-electron-apps-are-lolbins-by-default/\n",
" - http://www.hexacorn.com/blog/2018/08/16/squirrel-as-a-lolbin/\n",
" tags:\n",
" - attack.execution\n",
" author: Karneades / Markus Neis\n",
" falsepositives:\n",
" - 1Clipboard\n",
" - Beaker Browser\n",
" - Caret\n",
" - Collectie\n",
" - Discord\n",
" - Figma\n",
" - Flow\n",
" - Ghost\n",
" - GitHub Desktop\n",
" - GitKraken\n",
" - Hyper\n",
" - Insomnia\n",
" - JIBO\n",
" - Kap\n",
" - Kitematic\n",
" - Now Desktop\n",
" - Postman\n",
" - PostmanCanary\n",
" - Rambox\n",
" - Simplenote\n",
" - Skype\n",
" - Slack\n",
" - SourceTree\n",
" - Stride\n",
" - Svgsus\n",
" - WebTorrent\n",
" - WhatsApp\n",
" - WordPress.com\n",
" - atom\n",
" - gitkraken\n",
" - slack\n",
" - teams\n",
" level: high\n",
" logsource:\n",
" category: process_creation\n",
" product: windows\n",
" service: null\n",
" detection:\n",
" selection:\n",
" Image:\n",
" - '*\\update.exe'\n",
" CommandLine:\n",
" - '*--processStart*.exe*'\n",
" - '*--processStartAndWait*.exe*'\n",
" - \"*\\u2013createShortcut*.exe*\"\n",
" condition: selection\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-*', 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='(process_path.keyword:(*\\\\update.exe) AND process_command_line.keyword:(*\\-\\-processStart*.exe* OR *\\-\\-processStartAndWait*.exe* OR *createShortcut*.exe*))')\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
}