mirror of https://github.com/infosecn1nja/HELK.git
131 lines
3.1 KiB
Plaintext
131 lines
3.1 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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"# LSASS Memory Dump\n",
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"Detects process LSASS memory dump using procdump or taskmgr based on the CallTrace pointing to dbghelp.dll or dbgcore.dll for win10"
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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: LSASS Memory Dump\n",
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" id: 5ef9853e-4d0e-4a70-846f-a9ca37d876da\n",
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" status: experimental\n",
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" description: Detects process LSASS memory dump using procdump or taskmgr based on\n",
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" the CallTrace pointing to dbghelp.dll or dbgcore.dll for win10\n",
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" author: Samir Bousseaden\n",
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" references:\n",
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" - https://blog.menasec.net/2019/02/threat-hunting-21-procdump-or-taskmgr.html\n",
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" tags:\n",
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" - attack.t1003\n",
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" - attack.s0002\n",
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" - attack.credential_access\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: 10\n",
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" TargetImage: C:\\windows\\system32\\lsass.exe\n",
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" GrantedAccess: '0x1fffff'\n",
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" CallTrace:\n",
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" - '*dbghelp.dll*'\n",
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" - '*dbgcore.dll*'\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - unknown\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-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:\"10\" AND target_process_path:\"C\\:\\\\windows\\\\system32\\\\lsass.exe\" AND process_granted_access:\"0x1fffff\" AND process_call_trace.keyword:(*dbghelp.dll* OR *dbgcore.dll*))')\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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