mirror of https://github.com/infosecn1nja/HELK.git
136 lines
3.4 KiB
Plaintext
136 lines
3.4 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 Process Start Locations\n",
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"Detects suspicious process run from unusual locations"
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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 Process Start Locations\n",
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" id: 15b75071-74cc-47e0-b4c6-b43744a62a2b\n",
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" description: Detects suspicious process run from unusual locations\n",
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" status: experimental\n",
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" references:\n",
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" - https://car.mitre.org/wiki/CAR-2013-05-002\n",
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" author: juju4\n",
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" tags:\n",
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" - attack.defense_evasion\n",
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" - attack.t1036\n",
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" - car.2013-05-002\n",
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" logsource:\n",
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" category: process_creation\n",
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" product: windows\n",
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" service: null\n",
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" detection:\n",
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" selection:\n",
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" Image:\n",
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" - '*:\\RECYCLER\\\\*'\n",
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" - '*:\\SystemVolumeInformation\\\\*'\n",
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" - C:\\\\Windows\\\\Tasks\\\\*\n",
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" - C:\\\\Windows\\\\debug\\\\*\n",
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" - C:\\\\Windows\\\\fonts\\\\*\n",
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" - C:\\\\Windows\\\\help\\\\*\n",
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" - C:\\\\Windows\\\\drivers\\\\*\n",
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" - C:\\\\Windows\\\\addins\\\\*\n",
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" - C:\\\\Windows\\\\cursors\\\\*\n",
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" - C:\\\\Windows\\\\system32\\tasks\\\\*\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - False positives depend on scripts and administrative tools used in the monitored\n",
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" environment\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-*', 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='process_path.keyword:(*\\:\\\\RECYCLER\\\\* OR *\\:\\\\SystemVolumeInformation\\\\* OR C\\:\\\\Windows\\\\Tasks\\\\* OR C\\:\\\\Windows\\\\debug\\\\* OR C\\:\\\\Windows\\\\fonts\\\\* OR C\\:\\\\Windows\\\\help\\\\* OR C\\:\\\\Windows\\\\drivers\\\\* OR C\\:\\\\Windows\\\\addins\\\\* OR C\\:\\\\Windows\\\\cursors\\\\* OR C\\:\\\\Windows\\\\system32\\\\tasks\\\\*)')\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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