mirror of https://github.com/infosecn1nja/HELK.git
129 lines
3.0 KiB
Plaintext
129 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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"# Windows Registry Persistence - COM key linking\n",
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"Detects COM object hijacking via TreatAs subkey"
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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: Windows Registry Persistence - COM key linking\n",
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" id: 9b0f8a61-91b2-464f-aceb-0527e0a45020\n",
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" status: experimental\n",
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" description: Detects COM object hijacking via TreatAs subkey\n",
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" references:\n",
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" - https://bohops.com/2018/08/18/abusing-the-com-registry-structure-part-2-loading-techniques-for-evasion-and-persistence/\n",
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" author: Kutepov Anton, oscd.community\n",
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" date: 2019/10/23\n",
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" modified: 2019/11/07\n",
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" tags:\n",
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" - attack.persistence\n",
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" - attack.t1122\n",
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" logsource:\n",
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" product: windows\n",
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" service: sysmon\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: 12\n",
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" TargetObject|startswith: HKU\\\n",
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" TargetObject|contains: _Classes\\CLSID\\\n",
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" TargetObject|endswith: \\TreatAs\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Maybe some system utilities in rare cases use linking keys for backward compability\n",
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" level: medium\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-sysmon-*', 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:\"12\" AND registry_key_path:\"HKU\\*\" AND registry_key_path.keyword:*_Classes\\\\CLSID\\* AND registry_key_path.keyword:*\\\\TreatAs)')\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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