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

136 lines
3.2 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Shells Spawned by Web Servers\n",
"Web servers that spawn shell processes could be the result of a successfully placed web shell or an other attack"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: Shells Spawned by Web Servers\n",
" id: 8202070f-edeb-4d31-a010-a26c72ac5600\n",
" status: experimental\n",
" description: Web servers that spawn shell processes could be the result of a successfully\n",
" placed web shell or an other attack\n",
" author: Thomas Patzke\n",
" logsource:\n",
" category: process_creation\n",
" product: windows\n",
" service: null\n",
" detection:\n",
" selection:\n",
" ParentImage:\n",
" - '*\\w3wp.exe'\n",
" - '*\\httpd.exe'\n",
" - '*\\nginx.exe'\n",
" - '*\\php-cgi.exe'\n",
" Image:\n",
" - '*\\cmd.exe'\n",
" - '*\\sh.exe'\n",
" - '*\\bash.exe'\n",
" - '*\\powershell.exe'\n",
" condition: selection\n",
" fields:\n",
" - CommandLine\n",
" - ParentCommandLine\n",
" tags:\n",
" - attack.privilege_escalation\n",
" - attack.persistence\n",
" - attack.t1100\n",
" falsepositives:\n",
" - Particular web applications may spawn a shell process legitimately\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-*', 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_parent_path.keyword:(*\\\\w3wp.exe OR *\\\\httpd.exe OR *\\\\nginx.exe OR *\\\\php\\-cgi.exe) AND process_path.keyword:(*\\\\cmd.exe OR *\\\\sh.exe OR *\\\\bash.exe OR *\\\\powershell.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
}