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

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# CobaltStrike Process Injection\n",
"Detects a possible remote threat creation with certain characteristics which are typical for Cobalt Strike beacons"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: CobaltStrike Process Injection\n",
" id: 6309645e-122d-4c5b-bb2b-22e4f9c2fa42\n",
" description: Detects a possible remote threat creation with certain characteristics\n",
" which are typical for Cobalt Strike beacons\n",
" references:\n",
" - https://medium.com/@olafhartong/cobalt-strike-remote-threads-detection-206372d11d0f\n",
" - https://blog.cobaltstrike.com/2018/04/09/cobalt-strike-3-11-the-snake-that-eats-its-tail/\n",
" tags:\n",
" - attack.defense_evasion\n",
" - attack.t1055\n",
" status: experimental\n",
" author: Olaf Hartong, Florian Roth, Aleksey Potapov, oscd.community\n",
" date: 2018/11/30\n",
" modified: 2019/11/08\n",
" logsource:\n",
" product: windows\n",
" service: sysmon\n",
" category: null\n",
" detection:\n",
" selection:\n",
" EventID: 8\n",
" TargetProcessAddress|endswith:\n",
" - 0B80\n",
" - 0C7C\n",
" - 0C88\n",
" condition: selection\n",
" falsepositives:\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-sysmon-*', 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:\"8\" AND thread_start_address.keyword:(*0B80 OR *0C7C OR *0C88))')\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
}