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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"# Service Execution\n",
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"Detects manual service execution (start) via system utilities"
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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: Service Execution\n",
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" id: 2a072a96-a086-49fa-bcb5-15cc5a619093\n",
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" status: experimental\n",
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" description: Detects manual service execution (start) via system utilities\n",
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" author: Timur Zinniatullin, Daniil Yugoslavskiy, oscd.community\n",
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" date: 2019/10/21\n",
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" modified: 2019/11/04\n",
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" references:\n",
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" - https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1035/T1035.yaml\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:\n",
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" - \\net.exe\n",
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" - \\net1.exe\n",
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" CommandLine|contains: ' start '\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Legitimate administrator or user executes a service for legitimate reason\n",
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" level: low\n",
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" tags:\n",
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" - attack.execution\n",
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" - attack.t1035\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:(*\\\\net.exe OR *\\\\net1.exe) AND process_command_line.keyword:*\\ start\\ *)')\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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