mirror of https://github.com/infosecn1nja/HELK.git
134 lines
3.2 KiB
Plaintext
134 lines
3.2 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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"# WMI Persistence\n",
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"Detects suspicious WMI event filter and command line event consumer based on event id 5861 and 5859 (Windows 10, 2012 and higher)"
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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: WMI Persistence\n",
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" id: 0b7889b4-5577-4521-a60a-3376ee7f9f7b\n",
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" status: experimental\n",
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" description: Detects suspicious WMI event filter and command line event consumer\n",
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" based on event id 5861 and 5859 (Windows 10, 2012 and higher)\n",
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" author: Florian Roth\n",
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" references:\n",
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" - https://twitter.com/mattifestation/status/899646620148539397\n",
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" - https://www.eideon.com/2018-03-02-THL03-WMIBackdoors/\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.persistence\n",
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" - attack.t1047\n",
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" logsource:\n",
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" product: windows\n",
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" service: wmi\n",
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" category: null\n",
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" detection:\n",
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" selection:\n",
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" EventID: 5861\n",
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" keywords:\n",
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" Message:\n",
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" - '*ActiveScriptEventConsumer*'\n",
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" - '*CommandLineEventConsumer*'\n",
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" - '*CommandLineTemplate*'\n",
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" selection2:\n",
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" EventID: 5859\n",
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" condition: selection and 1 of keywords or selection2\n",
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" falsepositives:\n",
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" - Unknown (data set is too small; further testing needed)\n",
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" level: medium\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-wmiactivity-*', 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='((event_id:\"5861\" AND Message.keyword:(*ActiveScriptEventConsumer* OR *CommandLineEventConsumer* OR *CommandLineTemplate*)) OR event_id:\"5859\")')\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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