mirror of https://github.com/infosecn1nja/HELK.git
130 lines
2.9 KiB
Plaintext
130 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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"# Suspicious Parent of Csc.exe\n",
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"Detects a suspicious parent of csc.exe, which could by a sign of payload delivery"
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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 Parent of Csc.exe\n",
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" id: b730a276-6b63-41b8-bcf8-55930c8fc6ee\n",
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" description: Detects a suspicious parent of csc.exe, which could by a sign of payload\n",
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" delivery\n",
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" status: experimental\n",
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" references:\n",
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" - https://twitter.com/SBousseaden/status/1094924091256176641\n",
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" author: Florian Roth\n",
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" date: 2019/02/11\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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" 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: '*\\csc.exe*'\n",
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" ParentImage:\n",
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" - '*\\wscript.exe'\n",
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" - '*\\cscript.exe'\n",
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" - '*\\mshta.exe'\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Unkown\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-*', 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:*\\\\csc.exe* AND process_parent_path.keyword:(*\\\\wscript.exe OR *\\\\cscript.exe OR *\\\\mshta.exe))')\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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