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

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Hijack legit RDP session to move laterally\n",
"Detects the usage of tsclient share to place a backdoor on the RDP source machine's startup folder"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: Hijack legit RDP session to move laterally\n",
" id: 52753ea4-b3a0-4365-910d-36cff487b789\n",
" status: experimental\n",
" description: Detects the usage of tsclient share to place a backdoor on the RDP\n",
" source machine's startup folder\n",
" date: 2019/02/21\n",
" author: Samir Bousseaden\n",
" logsource:\n",
" product: windows\n",
" service: sysmon\n",
" category: null\n",
" detection:\n",
" selection:\n",
" EventID: 11\n",
" Image: '*\\mstsc.exe'\n",
" TargetFileName: '*\\Microsoft\\Windows\\Start Menu\\Programs\\Startup\\\\*'\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:\"11\" AND process_path.keyword:*\\\\mstsc.exe AND TargetFileName.keyword:*\\\\Microsoft\\\\Windows\\\\Start\\ Menu\\\\Programs\\\\Startup\\\\*)')\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
}