mirror of https://github.com/infosecn1nja/HELK.git
130 lines
3.1 KiB
Plaintext
130 lines
3.1 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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"# Judgement Panda Exfil Activity\n",
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"Detects Russian group activity as described in Global Threat Report 2019 by Crowdstrike"
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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: Judgement Panda Exfil Activity\n",
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" id: b83f5166-9237-4b5e-9cd4-7b5d52f4d8ee\n",
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" description: Detects Russian group activity as described in Global Threat Report\n",
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" 2019 by Crowdstrike\n",
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" references:\n",
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" - https://www.crowdstrike.com/resources/reports/2019-crowdstrike-global-threat-report/\n",
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" author: Florian Roth\n",
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" date: 2019/02/21\n",
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" tags:\n",
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" - attack.credential_access\n",
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" - attack.t1081\n",
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" - attack.t1003\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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" selection1:\n",
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" Image: '*\\xcopy.exe'\n",
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" CommandLine: '* /S /E /C /Q /H \\\\*'\n",
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" selection2:\n",
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" Image: '*\\adexplorer.exe'\n",
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" CommandLine: '* -snapshot \"\" c:\\users\\\\*'\n",
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" condition: selection1 or selection2\n",
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" falsepositives:\n",
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" - unknown\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:*\\\\xcopy.exe AND process_command_line.keyword:*\\ \\/S\\ \\/E\\ \\/C\\ \\/Q\\ \\/H\\ \\\\*) OR (process_path.keyword:*\\\\adexplorer.exe AND process_command_line.keyword:*\\ \\-snapshot\\ \\\"\\\"\\ c\\:\\\\users\\\\*))')\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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