mirror of https://github.com/infosecn1nja/HELK.git
129 lines
2.9 KiB
Plaintext
129 lines
2.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Suspicious PowerShell Keywords\n",
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"Detects keywords that could indicate the use of some PowerShell exploitation framework"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Rule Content\n",
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"```\n",
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"- title: Suspicious PowerShell Keywords\n",
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" id: 1f49f2ab-26bc-48b3-96cc-dcffbc93eadf\n",
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" status: experimental\n",
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" description: Detects keywords that could indicate the use of some PowerShell exploitation\n",
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" framework\n",
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" date: 2019/02/11\n",
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" author: Florian Roth\n",
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" references:\n",
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" - https://posts.specterops.io/entering-a-covenant-net-command-and-control-e11038bcf462\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.t1086\n",
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" logsource:\n",
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" product: windows\n",
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" service: powershell\n",
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" definition: It is recommended to use the new \"Script Block Logging\" of PowerShell\n",
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" v5 https://adsecurity.org/?p=2277\n",
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" category: null\n",
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" detection:\n",
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" keywords:\n",
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" Message:\n",
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" - '*[System.Reflection.Assembly]::Load*'\n",
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" condition: keywords\n",
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" falsepositives:\n",
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" - Penetration tests\n",
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" level: high\n",
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"\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Querying Elasticsearch"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import Libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from elasticsearch import Elasticsearch\n",
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"from elasticsearch_dsl import Search\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Initialize Elasticsearch client"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
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"searchContext = Search(using=es, index='logs-endpoint-winevent-powershell-*', doc_type='doc')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run Elasticsearch Query"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"s = searchContext.query('query_string', query='Message.keyword:(*\\[System.Reflection.Assembly\\]\\:\\:Load*)')\n",
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"response = s.execute()\n",
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"if response.success():\n",
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" df = pd.DataFrame((d.to_dict() for d in s.scan()))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Show Results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df.head()"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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