mirror of https://github.com/infosecn1nja/HELK.git
129 lines
2.9 KiB
Plaintext
129 lines
2.9 KiB
Plaintext
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{
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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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"# psr.exe capture screenshots\n",
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"The psr.exe captures desktop screenshots and saves them on the local machine"
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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: psr.exe capture screenshots\n",
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" id: 2158f96f-43c2-43cb-952a-ab4580f32382\n",
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" status: experimental\n",
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" description: The psr.exe captures desktop screenshots and saves them on the local\n",
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" machine\n",
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" references:\n",
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" - https://github.com/LOLBAS-Project/LOLBAS/blob/master/yml/LOLUtilz/OSBinaries/Psr.yml\n",
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" - https://www.sans.org/summit-archives/file/summit-archive-1493861893.pdf\n",
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" author: Beyu Denis, oscd.community\n",
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" date: 2019/10/12\n",
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" modified: 2019/11/04\n",
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" tags:\n",
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" - attack.persistence\n",
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" - attack.t1218\n",
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" level: medium\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: \\Psr.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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" - Unknown\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:*\\\\Psr.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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