mirror of https://github.com/infosecn1nja/HELK.git
131 lines
3.0 KiB
Plaintext
131 lines
3.0 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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"# RottenPotato Like Attack Pattern\n",
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"Detects logon events that have characteristics of events generated during an attack with RottenPotato and the like"
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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: RottenPotato Like Attack Pattern\n",
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" id: 16f5d8ca-44bd-47c8-acbe-6fc95a16c12f\n",
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" status: experimental\n",
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" description: Detects logon events that have characteristics of events generated\n",
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" during an attack with RottenPotato and the like\n",
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" references:\n",
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" - https://twitter.com/SBousseaden/status/1195284233729777665\n",
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" author: '@SBousseaden, Florian Roth'\n",
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" date: 2019/11/15\n",
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" tags:\n",
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" - attack.privilege_escalation\n",
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" - attack.credential_access\n",
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" - attack.t1171\n",
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" logsource:\n",
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" product: windows\n",
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" service: security\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: 4624\n",
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" LogonType: 3\n",
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" TargetUserName: ANONYMOUS_LOGON\n",
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" WorkstationName: '-'\n",
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" SourceNetworkAddress: 127.0.0.1\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Unknown\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-security-*', 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:\"4624\" AND logon_type:\"3\" AND TargetUserName:\"ANONYMOUS_LOGON\" AND src_host_name:\"\\-\" AND SourceNetworkAddress:\"127.0.0.1\")')\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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