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

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# ZxShell Malware\n",
"Detects a ZxShell start by the called and well-known function name"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: ZxShell Malware\n",
" id: f0b70adb-0075-43b0-9745-e82a1c608fcc\n",
" description: Detects a ZxShell start by the called and well-known function name\n",
" author: Florian Roth\n",
" references:\n",
" - https://www.hybrid-analysis.com/sample/5d2a4cde9fa7c2fdbf39b2e2ffd23378d0c50701a3095d1e91e3cf922d7b0b16?environmentId=100\n",
" tags:\n",
" - attack.g0001\n",
" - attack.execution\n",
" - attack.t1059\n",
" - attack.defense_evasion\n",
" - attack.t1085\n",
" logsource:\n",
" category: process_creation\n",
" product: windows\n",
" service: null\n",
" detection:\n",
" selection:\n",
" Command:\n",
" - rundll32.exe *,zxFunction*\n",
" - rundll32.exe *,RemoteDiskXXXXX\n",
" condition: selection\n",
" fields:\n",
" - CommandLine\n",
" - ParentCommandLine\n",
" falsepositives:\n",
" - Unlikely\n",
" level: critical\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='Command.keyword:(rundll32.exe\\ *,zxFunction* OR rundll32.exe\\ *,RemoteDiskXXXXX)')\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
}