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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"# Suspicious Userinit Child Process\n",
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"Detects a suspicious child process of userinit"
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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 Userinit Child Process\n",
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" id: b655a06a-31c0-477a-95c2-3726b83d649d\n",
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" status: experimental\n",
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" description: Detects a suspicious child process of userinit\n",
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" references:\n",
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" - https://twitter.com/SBousseaden/status/1139811587760562176\n",
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" author: Florian Roth (rule), Samir Bousseaden (idea)\n",
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" date: 2019/06/17\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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" ParentImage: '*\\userinit.exe'\n",
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" filter1:\n",
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" CommandLine: '*\\\\netlogon\\\\*'\n",
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" filter2:\n",
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" Image: '*\\explorer.exe'\n",
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" condition: selection and not filter1 and not filter2\n",
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" fields:\n",
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" - CommandLine\n",
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" - ParentCommandLine\n",
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" falsepositives:\n",
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" - Administrative scripts\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-*', 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_parent_path.keyword:*\\\\userinit.exe AND (NOT (process_command_line.keyword:*\\\\netlogon\\\\*))) AND (NOT (process_path.keyword:*\\\\explorer.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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