mirror of https://github.com/infosecn1nja/HELK.git
127 lines
2.9 KiB
Plaintext
127 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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"# Whoami as LOCAL_SYSTEM\n",
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"Detects the execution of whoami as LOCAL_SYSTEM, often used after privilege escalation by attackers who want to evaluate the new user context"
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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: Whoami as LOCAL_SYSTEM\n",
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" id: 1453b1a4-261b-4daf-afe1-2a400a838b5c\n",
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" status: experimental\n",
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" description: Detects the execution of whoami as LOCAL_SYSTEM, often used after privilege\n",
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" escalation by attackers who want to evaluate the new user context\n",
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" author: Florian Roth\n",
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" date: 2019/12/22\n",
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" tags:\n",
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" - attack.discovery\n",
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" - attack.t1033\n",
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" - car.2016-03-001\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|contains: \\whoami.exe\n",
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" User: NT AUTHORITY\\SYSTEM\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Admin activity\n",
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" - Scripts and administrative tools used in the monitored environment\n",
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" level: critical\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:*\\\\whoami.exe* AND user_account:\"NT\\ AUTHORITY\\\\SYSTEM\")')\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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