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

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Network Sniffing\n",
"Network sniffing refers to using the network interface on a system to monitor or capture information sent over a wired or wireless connection. An adversary may place a network interface into promiscuous mode to passively access data in transit over the network, or use span ports to capture a larger amount of data."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rule Content\n",
"```\n",
"- title: Network Sniffing\n",
" id: ba1f7802-adc7-48b4-9ecb-81e227fddfd5\n",
" status: experimental\n",
" description: Network sniffing refers to using the network interface on a system\n",
" to monitor or capture information sent over a wired or wireless connection. An\n",
" adversary may place a network interface into promiscuous mode to passively access\n",
" data in transit over the network, or use span ports to capture a larger amount\n",
" of data.\n",
" author: Timur Zinniatullin, oscd.community\n",
" date: 2019/10/21\n",
" modified: 2019/11/04\n",
" references:\n",
" - https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1040/T1040.yaml\n",
" logsource:\n",
" category: process_creation\n",
" product: windows\n",
" service: null\n",
" detection:\n",
" selection:\n",
" - Image|endswith: \\tshark.exe\n",
" CommandLine|contains: -i\n",
" - Image|endswith: \\windump.exe\n",
" condition: selection\n",
" falsepositives:\n",
" - Admin activity\n",
" fields:\n",
" - Image\n",
" - CommandLine\n",
" - User\n",
" - LogonGuid\n",
" - Hashes\n",
" - ParentProcessGuid\n",
" - ParentCommandLine\n",
" level: low\n",
" tags:\n",
" - attack.credential_access\n",
" - attack.discovery\n",
" - attack.t1040\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:*\\\\tshark.exe AND process_command_line.keyword:*\\-i*) OR process_path.keyword:*\\\\windump.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
}