mirror of https://github.com/infosecn1nja/HELK.git
129 lines
2.9 KiB
Plaintext
129 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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"# OpenWith.exe executes specified binary\n",
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"The OpenWith.exe executes other binary"
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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: OpenWith.exe executes specified binary\n",
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" id: cec8e918-30f7-4e2d-9bfa-a59cc97ae60f\n",
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" status: experimental\n",
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" description: The OpenWith.exe executes other binary\n",
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" references:\n",
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" - https://github.com/LOLBAS-Project/LOLBAS/blob/master/yml/LOLUtilz/OSBinaries/Openwith.yml\n",
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" - https://twitter.com/harr0ey/status/991670870384021504\n",
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" author: Beyu Denis, oscd.community (rule), @harr0ey (idea)\n",
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" date: 2019/10/12\n",
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" modified: 2019/11/04\n",
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" tags:\n",
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" - attack.defense_evasion\n",
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" - attack.execution\n",
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" - attack.t1218\n",
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" level: high\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|endswith: \\OpenWith.exe\n",
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" CommandLine|contains: /c\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Legitimate use of OpenWith.exe by legitimate user\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:*\\\\OpenWith.exe AND process_command_line.keyword:*\\/c*)')\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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