mirror of https://github.com/infosecn1nja/HELK.git
125 lines
2.8 KiB
Plaintext
125 lines
2.8 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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"# Emissary Panda Malware SLLauncher\n",
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"Detects the execution of DLL side-loading malware used by threat group Emissary Panda aka APT27"
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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: Emissary Panda Malware SLLauncher\n",
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" id: 9aa01d62-7667-4d3b-acb8-8cb5103e2014\n",
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" status: experimental\n",
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" description: Detects the execution of DLL side-loading malware used by threat group\n",
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" Emissary Panda aka APT27\n",
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" references:\n",
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" - https://app.any.run/tasks/579e7587-f09d-4aae-8b07-472833262965\n",
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" - https://twitter.com/cyb3rops/status/1168863899531132929\n",
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" author: Florian Roth\n",
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" date: 2018/09/03\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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" ParentImage: '*\\sllauncher.exe'\n",
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" Image: '*\\svchost.exe'\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: critical\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_parent_path.keyword:*\\\\sllauncher.exe AND process_path.keyword:*\\\\svchost.exe)')\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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