mirror of https://github.com/infosecn1nja/HELK.git
142 lines
3.6 KiB
Plaintext
142 lines
3.6 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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"# Pass the Hash Activity\n",
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"Detects the attack technique pass the hash which is used to move laterally inside the network"
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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: Pass the Hash Activity\n",
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" id: f8d98d6c-7a07-4d74-b064-dd4a3c244528\n",
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" status: experimental\n",
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" description: Detects the attack technique pass the hash which is used to move laterally\n",
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" inside the network\n",
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" references:\n",
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" - https://github.com/iadgov/Event-Forwarding-Guidance/tree/master/Events\n",
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" author: Ilias el Matani (rule), The Information Assurance Directorate at the NSA\n",
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" (method)\n",
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" tags:\n",
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" - attack.lateral_movement\n",
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" - attack.t1075\n",
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" - car.2016-04-004\n",
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" logsource:\n",
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" product: windows\n",
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" service: security\n",
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" definition: The successful use of PtH for lateral movement between workstations\n",
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" would trigger event ID 4624, a failed logon attempt would trigger an event ID\n",
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" 4625\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: 4624\n",
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" LogonType: '3'\n",
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" LogonProcessName: NtLmSsp\n",
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" WorkstationName: '%Workstations%'\n",
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" ComputerName: '%Workstations%'\n",
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" - EventID: 4625\n",
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" LogonType: '3'\n",
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" LogonProcessName: NtLmSsp\n",
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" WorkstationName: '%Workstations%'\n",
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" ComputerName: '%Workstations%'\n",
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" filter:\n",
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" AccountName: ANONYMOUS LOGON\n",
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" condition: selection and not filter\n",
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" falsepositives:\n",
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" - Administrator activity\n",
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" - Penetration tests\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-security-*', 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='((logon_type:\"3\" AND logon_process_name:\"NtLmSsp\" AND src_host_name:\"%Workstations%\" AND host_name:\"%Workstations%\" AND (event_id:\"4624\" OR event_id:\"4625\")) AND (NOT (user_name:\"ANONYMOUS\\ LOGON\")))')\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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