mirror of https://github.com/infosecn1nja/HELK.git
127 lines
2.9 KiB
Plaintext
127 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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"# Password Dumper Activity on LSASS\n",
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"Detects process handle on LSASS process with certain access mask and object type SAM_DOMAIN"
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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: Password Dumper Activity on LSASS\n",
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" id: aa1697b7-d611-4f9a-9cb2-5125b4ccfd5c\n",
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" description: Detects process handle on LSASS process with certain access mask and\n",
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" object type SAM_DOMAIN\n",
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" status: experimental\n",
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" references:\n",
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" - https://twitter.com/jackcr/status/807385668833968128\n",
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" tags:\n",
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" - attack.credential_access\n",
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" - attack.t1003\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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" category: null\n",
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" detection:\n",
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" selection:\n",
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" EventID: 4656\n",
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" ProcessName: C:\\Windows\\System32\\lsass.exe\n",
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" AccessMask: '0x705'\n",
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" ObjectType: SAM_DOMAIN\n",
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" condition: selection\n",
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" falsepositives:\n",
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" - Unkown\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-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='(event_id:\"4656\" AND process_path:\"C\\:\\\\Windows\\\\System32\\\\lsass.exe\" AND object_access_mask_requested:\"0x705\" AND object_type:\"SAM_DOMAIN\")')\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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